Gap Analysis Report
Vana Kamtsiou, Ambjörn Naeve, Milos Kravcik, Daniel Burgos, Volker
Zimmermann, Ralf Klamma, Mohamed Amine Chatti, Paul Lefrere, Jacques
Dang, Tapio Koskinen
To cite this version:
Vana Kamtsiou, Ambjörn Naeve, Milos Kravcik, Daniel Burgos, Volker Zimmermann, et al..
Gap Analysis Report. Research report of the ProLearn Network of Excellence (IST 507310),
Deliverable 12.12. 2007. <hal-00591559>
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 1
Network of Excellence in Professional Learning
PROLEARN
European Commission Sixth Framework Project (IST-507310)
Deliverable
D12.12
Gap Analysis Report
Editors
Work Package
12 Roadmap
Status
Final
Date
30/5/2007
The PROLEARN Consortium
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Universität Hannover, Learning Lab Lower Saxony (L3S), Germany
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), Germany
Open University (OU), UK
Katholieke Universiteit Leuven (K.U.Leuven) / ARIADNE Foundation, Belgium
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. (FHG), Germany
Wirtschaftsuniversität Wien (WUW), Austria
Universität für Bodenkultur, Zentrum für Soziale Innovation (CSI), Austria
École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Eigenössische Technische Hochschule Zürich (ETHZ), Switzerland
Politecnico di Milano (POLIMI), Italy
Jožef Stefan Institute (JSI), Slovenia
Universidad Polictécnica de Madrid (UPM), Spain
Kungl. Tekniska Högskolan (KTH), Sweden
National Centre for Scientific Research “Demokritos” (NCSR), Greece
Institut National des Télécommunications (INT), France
Hautes Etudes Commerciales (HEC), France
Technische Universiteit Eindhoven (TU/e), Netherlands
Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Germany
Helsinki University of Technology (HUT), Finland
imc information multimedia communication AG (IMC), Germany
Open Universiteit Nederland (OU NL), Netherlands
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 2
Document Control
Title:
Editors:
Gap Analysis Report
Vana Kamtsiou, NCSR
Ambjorn Naeve, KTH
Milos Kravcik, Daniel Burgos (VS1), OUNL
Volker Zimmermann (VS2), IMC
Ralf Klamma, Amine Chatti (VS3), RWTH Tapio Paul
Paul Lefrere (VS4), OU
Jacques Dang (VS5), HEC
Tapio Koskinen (VS6), HUT
E-mail:
vana@dat.demokritos.gr; amb@nada.kth.se;
Milos.Kravcik@ou.nl; p.lefrere@open.ac.uk;
Volker.Zimmermann@im-c.de; klamma@cs.rwthaachen.de; chatti@informatik.rwth-aachen.de;
dang@hec.fr; tapio.koskinen@dipoli.hut.fi
Amendment History
Version
Date
Author/Editor
Description/Comments
V1
V2
V3
V4
16/11/2006
13/1/2007
29/3/2007
18/5/2007
Kamtsiou
Naeve
All
All
V5
25/5/2007
V6
30/5/2007
Kravcik, Zimmermann, Klamma,
Chatti, Dang,
V. KamtsiouP. Lefrere, A. Naeve,
T. Koskinen
Methods
Methods review and update
SWOT to SWO change
SWO analysis draft results (all vision
statements)
Gap Analysis results updated version
(VS1, VS2, VS3, VS5)
Final Version
(VS4, VS6)
Contributors
Name
Organisation
Erik Duval
Fridolin Wild
Yann Denoual
Alexandra Cristea
Peter Scott
Paul De Bra
Panagiotis Telonis
Konstantin Makropoulos
Theofanis Raptis
KUL
WUW
HEC
UoW
OU UK
TUE
NCSR
NCSR
NCSR
2
Gap Analysis Framework and refined Conceptual Models V2.0, Page 3
Legal Notices
The information in this document is subject to change without notice.
The Members of the PROLEARN Consortium make no warranty of any kind with
regard to this document, including, but not limited to, the implied warranties of
merchantability and fitness for a particular purpose. The Members of the
PROLEARN Consortium shall not be held liable for errors contained herein or direct,
indirect, special, incidental or consequential damages in connection with the
furnishing, performance, or use of this material.
3
Gap Analysis Framework and refined Conceptual Models V2.0, Page 4
Guidelines
Template:
for
Completing
the
Deliverable
Reporting
Font: Arial; Font Size: 11;
1,2 line-spacing
Please include all necessary information relating to the completion of this
Deliverable. Attach relevant materials as necessary (copies of publications; course
and/or conference programs, etc.). Elements that should be incorporated into this
report include:
•
•
•
•
•
Public Events (Workshops, Conferences etc.)
Integration Activities (Research Exchange, Scholarships & Travel Grants)
Publications (Articles, Papers, Press releases etc.)
Abstract
Index
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 5
TABLE OF CONTENTS
PROLEARN................................................................................................. 1
1. INTRODUCTION.................................................................................................................................... 6
2. METHODS................................................................................................................................................ 6
2.1 GAP ANALYSIS IN THE FRAMEWORK OF PROLEARN ROADMAPPING ................................................. 6
2.1.1 Modeling the roadmapping process as a knowledge creation process ................................... 6
2.1.2 Activities that took place during the spiraling Gap analysis process: .................................... 8
2.2 PREAMBLE: THE PROLEARN V ISIONS AS OUR STARTING POINT .................................................. 12
2.3 GAP ANALYSIS METHODOLOGY ....................................................................................................... 13
2.3.1 Phase 1- Gap identification (Comparison of -State of the Art –Vision)................................ 15
2.3.2 Phase 2 – GAP refinement ....................................................................................................... 17
2.3.3 Phase 3 - Content to fill the GAP – Actions ............................................................................ 17
References:.......................................................................................................................................... 19
3. IMPLEMENTATIONS ......................................................................................................................... 20
3.1. GAP ANALYSIS VS1 .......................................................................................................................... 20
3.1.1 Description of Vision Statement 1............................................................................................ 20
3.1.2 SWO Analysis ............................................................................................................................ 22
3.1.3 Assumptions – Preconditions ................................................................................................... 23
3.1.4 Nature of the Gap...................................................................................................................... 24
3.2. GAP ANALYSIS VS2 .......................................................................................................................... 25
3.2.1 Description of Vision Statement 2........................................................................................ 25
3.2.2 SWO Analysis ........................................................................................................................ 27
3.2.3 Assumptions – Preconditions ................................................................................................... 28
3.2.4 Nature of the Gap...................................................................................................................... 29
3.3. GAP ANALYSIS VS3 .......................................................................................................................... 30
3.3.1 Description of Vision Statement 3........................................................................................ 30
3.3.2 SWO Analysis ........................................................................................................................ 33
3.3.3 Assumptions – Preconditions ................................................................................................... 34
3.3.3 Nature of the Gap.................................................................................................................. 35
3.4. GAP ANALYSIS VS4 .......................................................................................................................... 36
3.4.1 Description of Vision Statement 4........................................................................................ 36
3.4.2 SWO Analysis ............................................................................................................................ 39
3.4.3 Assumptions – Preconditions ................................................................................................... 40
3.4.4 Nature of the Gap...................................................................................................................... 41
3.5. GAP ANALYSIS VS5 .......................................................................................................................... 42
3.5.2 Description of Vision Statement 5........................................................................................ 42
3.5.2 SWO Analysis ............................................................................................................................ 45
3.5.3 Assumptions – Preconditions ................................................................................................... 49
3.5.4 Nature of the Gap...................................................................................................................... 49
GAP ANALYSIS VS6 ................................................................................................................................. 51
3.6.1 Description of Vision Statement 6........................................................................................ 51
3.6.2 SWO Analysis ............................................................................................................................ 59
3.6.1 Assumptions – Preconditions ............................................................................................... 61
3.6.4 Nature of the Gap...................................................................................................................... 62
References:.......................................................................................................................................... 63
ANNEX 1 ..................................................................................................................................................... 67
CAP ANALYSIS TEMPLATES ..................................................................................................................... 67
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 6
1. Introduction
The aim of this document is to: a) provide a description of the Gap Analysis
framework and the methodology we have used in PROLEARN roadmap (section 1:
Methods) and b) present the Gap analysis results (section 2: Implementations).
Currently, there is no standard methodology for Gap analysis, and there is a
considerable diversity among practitioners of how a Gap analysis should be
performed.
Our proposed methodology, integrates several elements from
Time2Learn (time2Learn 2004), VOmap (VOmap 2003), ROCKET (ROCKET 2003)
and BRIDGES (BRIDGES 2002) roadmaps and it is adapted to meet the
PROLEARN objectives and fit within the approach we have developed within the
project in terms of roadmapping methodology and framework.
2. METHODS
2.1 Gap analysis in the Framework of Prolearn Roadmapping
2.1.1 Modeling the roadmapping process as a knowledge creation
process
As already argued in the deliverable 12.10 “Envisaged future states of Technology
Enhanced Professional Learning” (Kamtsiou 2003) the context of NoE Prolearn
roadmapping is a knowledge creating process that spirals outwards from the core
partners of the PROLEARN Network (individuals, groups, the whole Network) via the
Network’s associated partners, to the entire scientific community and industry.
Therefore, it is both a learning activity and a knowledge creation process for the
community that builds the roadmap. We have modelled this knowledge creation
process using the general SECI process framework, known as the “SECI Spiral”.
The principles of the knowledge creation spiral are applied to the gap-analysis phase
of the Prolearn Roadmapping.
Figure 1: The SECI spiral of knowledge creation [source A. Naeve (2005)]
In our roadmapping process framework (Figure 2) we combined process modelling
with the SECI theory of knowledge creation. Our framework is derived from the
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 7
general SECI process framework (figure 1) by replacing the triplet of social entities
{Individual, Group, and Organization} with {Core Partners, Associate Partners, and
Scientific Community & Industry}. (Kamtsiou 2007)
Figure 2: The PROLEARN Roadmapping Process Framework (based on the SECI model).
According to Nonaka (Nonaka 2003) the key to knowledge creation lies in the
following four SECI modes of knowledge conversion, which occur when tacit
knowledge and explicit knowledge interact with each other:
During the Socialization process, networking activities and community building
events are important. Face to face meetings, various workshops, and virtual
meetings have been organized in order to bring together the wider community of the
PROLEARN network both core and associate partners on a common contextual
platform and tap into their collective experience and tacit knowledge. Prolearn teams
play a central role in this knowledge creation process of building the roadmap
because they provide the shared context where the team members can interact with
each other and engage themselves in common projects and activities, on which
effective reflection depends. This provides a new individual understanding of the
relevant concepts and their relationship.
During externalization processes, awareness of the key issues involved in TEPL
has been raised, and the implicit concepts and ideas originated during the
socialization process have been expressed. Individual views and visions of
PROLEARN partners have been discussed and extended through brainstorming and
have also been expressed via scenarios produced by PROLEARN partners, and by
other experts and initiatives. These activities have provided a good indication of what
TEPL means to different stakeholders in a variety of Professional situations. The aim
has been to create explicit core visions that can be used as input for starting a
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 8
dialogue with external groups. The next step was to start a dialogue with external
experts and industry stakeholders in order to synthesize and combine knowledge. In
this activity, it was important to bring together people with different expertise and
scientific backgrounds.
During the combination process, the resulting “seed” knowledge is modelled and
conceptualized and thus is easily communicated to external groups in order to
synthesize information from many different sources and bring in different
perspectives and contexts. During the Gap analysis the different context maps of the
foresight analysis (Visions statements, goals and support factors) are studied and a
gap analysis of what is available and what is needed for the future is performed. The
results are elaborated on and extended by others, thus creating new explicit
knowledge by combination. Finally, a list of draft recommendations and timelines of
actions, will be compiled for each vision statement and for the specific stakeholders
the visions are targeting. It is important to emphasize that the SECI spiral of
knowledge creation takes place in all roadmapping activities, vision identification, gap
analysis and charting actions recommendations. The linearity of the SECI model is
not well adjusted to describing what is actually going on in knowledge creation
(Naeve, 2007). Nonaka, Toyama and Konno (Nonaka 2000) acknowledge this
problem when they describe the knowledge creating process as a collection of
intertwined SECI spirals of various sizes that interact with each other. In practice, for
instance, several externalization, combination and socialization events took place
simultaneously since core partners, associate partners and external experts for the
scientific community and industry participated in the same workshops. Therefore,
during the gap analysis process the initial work of the PROLEARN partners was
communicated via specific workshops to external groups in order to reflect on,
validate, extend, combine and refine the first “core” results.
2.1.2 Activities that took place during the spiraling Gap analysis
process:
Figure 3: process modeling
In order to proceed with the Gap analysis work the following activites have been
organized:
Activities involving Prolearn parteners (core):
For each vision statement a responsible raporteur from PROLEARN partners has
been asigned. The group of raporteurs were formed the core Gap Analysis team also
lead a series of flash meetings during which, each vision statement was discussed
among the Prolearn Parnters. All Prolearners were invited to participate into Vision
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 9
Statement specific Gap Analysis Flash meetings (table 1). In order to support the
ongoing work of the GAP analysis a wiki dedicated to this task was created.
(http://imsld.learningnetworks.org/course/view.php?id=50). The purpose of the wiki
is to collect all related documents and foster our discussions on Gap analysis. In
addition, two face to face working meetings in London (7/2/07 to 14/2/07) and Athens
(9/4/07-11/4/07), were organized during which the Gap Analysis raporteurs
consolidated and refined the Gap analysis results.
Flash
meeting
Date
VS1
VS2
VS3
VS4
VS5
VS6
√
10/11/06
√
27/11/06
√
11/12/06
20/12/06
√
11/1/07
√
√
√
19/1/07
√
22/1/07
26/1/07
Conceptual
modeling/Co
nzilla maps
√
√
√
√
1/2/07
6/2/07
√
20/2/07
√
22/2/07
√
19/3/07
√
17/04/07
√
√
√
√
√
19/04/07
√
√
Table 1: dedicated vision statement flash meetings
Activities involving external stakeholders (Scientific community and Industry)
Within our roadmapping framework, the vision statements are in reality different
views of the core vision, each with specific focus and scope. i.e. IST view, industry
views, employee view and market and societal dimensions. Besides the more
informal discussions between various experts and expert groups, several dedicated
events were organized with external experts from academia and industry in order to
validate and analyse the concepts for each focus area, provide additional input to the
Prolearn partners. Additional input was provided by the ongoing dialogue with
external groups, such as eLIG, the eSkills Task Force (DG Enterprise and Industry),
the MENON Network, IFIP, EDEN, and ongoing projects (figure 4). The nature of the
process follows the principles of the SECI spiral of knowledge creation that has been
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 10
applied in the previous phases of the Prolearn Roadmapping process and at this
stage led to the refinement of the Gap analysis results.
The major events that took place are presented below:
1) PROLEARN –eLIG joint workshop on skills for Employability. The Prolearn
Roadmapping and futures work was presented in the eLIG/PROLEARN workshop on
July 3rd 2006 in Helsinki during, the EU LearningConference2006. The workshop
was organised by the European eLearning Industry Group in cooperation with the
Prolearn Network of Excellence and WP12. The objective of the workshop was to
demonstrate how eLearning can help to address the fast changing skills
requirements on a large scale and hence to create a more flexible and adaptable
workforce. The conclusions and recommendations of the workshop were used as
input for validation of the PROLEARN vision statements and for GAP analysis.
Results were also presented during the EU eLearning Conference 2006. The
Prolearn visions:4 “Learning as a means to increase employability” and 6 “Access to
professional learning for all” were presented and discussed during this workshop.
The workshop consisted of four components:
-
Case studies from Industry and public sector bodies
-
Conclusions from existing experiences and assessment of broad based
deployment potential
-
Roadmapping R & D for technology enhanced professional learning
-
Recommendations to the European commission and Member States for
action
All key stakeholders were invited to join: European Commission, Member States
representatives, Employment Agencies, Public and Private Education Providers,
Industry representatives from the corporate, SME sectors and academia.
2) Three Learning Café sessions were also organized within the 3rd EU eLearning
conference on July 4 and 5, 2006 in Finland, focused on the two industry related
vision statements, 2 “Learning as a means to support and enhance work
performance” and 3 “Promote innovation, creativity, and entrepreneurship at work.”
The 3 themes of the learning cafes were the following:
-
“Learning café on ICT for learning – Innovative new ways for learning”
-
“Learning café: Learning to use ICT and Digital skills and e-competences”
-
“Learning café: The new partnerships for learning – linking communities
and formal and non-formal learning systems”
3) A learning café was organized during the summer school 2006 in Bled on future
directions for TEPL. This workshop was focused on the analysis of vision 3
“Promote innovation, creativity, and entrepreneurship at work.” The results from this
activity were presented by different PhD student groups at the end of the Summer
school programme.
4) Vision statement 3: “Learning as a means to increase employability” was
presented and discussed during the second Workshop of the e-Skills Foresight
Scenarios for Europe project, on Key Drivers and Scenario Design organized
by CEPIS – the Council of European Professional Informatics Societies on July 12
2006.
5) EC-TEL workshop "Making the Future of Technology Enhanced Professional
Learning" (Crete 1/10/2006). This workshop focused on defining the critical
capabilities needed to achieve the desired futures. The workshop was organized as a
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 11
Learning Café ensuring that all participants can have direct impact on how the gap
will be crossed. The workshop focused on the vision statements 1, 2 and 3.
The three main themes of the workshop:
-
Personalization: learning for you, where, how and when you want to learn.
-
Enhancing work performance: use TEPL to support human performance
improvements and to provide links between business processes,
competencies and learning processes.
-
Self-regulated Learning, Creativity and Innovation: collaborative learning,
critical reflection.
6) European eSkills Conference “TOWARDS A LONG TERM E-SKILLS
STRATEGY”,5-6 October 2006, Thessaloniki, Greece. Prolearn vision statements 4
and 6 were presented and discussed during the European eSkills Conference. In
addition, Prolearn representatives participated in the work of the Dg Enterprise Task
Force
on
ICT
Sector
competitiveness
&
ICT
uptake
(http://ec.europa.eu/enterprise/ict/taskforce.htm) as well in the work of the Working
Group 5 (skills and employability) of the ICT Task Force, drafting the policy
recommendations for Technology Enhanced Learning.
7) The 10th World Conference for Continuing Engineering Education (April 1821, Vienna, Austria) included a dedicated workshop (W3) to analyse the feasibility of
the Prolearn vision statements 2, 3 and 4 from the point of view of University
Continuing Education. A paper “Categorization of R&D in Professional Learning”
describing the results from the work done under WP12 was also presented at the
conference and included in the conference proceedings.
Figure 4 is a graphical representation of the combinatory process by which the
various contributors have been linked during the gap analysis.
Figure 4: Gap Analysis combinatory process
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 12
2.2 Preamble: The PROLEARN Visions as our Starting point
The PROLEARN roadmapping process aims to provide us with information on were
we want to go (vision/foresight/desired future) and where we are (current state), so
that we will be in a position to determine how we can get there (action plan). In
Figure 5, the first two stages comprise Phase 1 (Where do we want to go? - outputs:
Vision statements and Expressed future state) and the last two stages comprise
Phase 2 (How can we get there? - outputs: Identified Gaps and Recommended
actions).
Figure 5: Roadmapping stages
Core vision for TEPL in 2015
Integrated the results from the Prolearn foresight activities came up with the following
core vision for the future TEPL: “To support knowledge workers with technologyenhanced learning by promoting motivation, performance, collaboration, innovation
and commitment to lifelong learning.” In this context, a knowledge worker is defined
as someone who doesn’t just consume knowledge but who is able to create it and
who reflects critically on every level of activity in the organization and contributes
back.
During phase 1, a foresight study was performed in order to map out the desired
future for technology-enhanced professional learning (TEPL) in the form of prevalent
visions in the community at large. The prevalent visions for the next 10 years are
centered on leveraging technology to: enhance and support work performance for
businesses and directly link learning technologies with business needs; and to
promote innovation, creativity, and flexibility to support change in organizations; while
at the same time promote increased security for individuals in the form of
employability and assuredness of equal opportunity, and taking into account the
societal and market dimensions. Figure 6 illustrates the six PROLEARN vision
statements. As depicted in this figure, the PROLEARN vision statements provide a
holistic picture of the desired future of TEPL in an outwards spiraling way that
highlights the aspirations of all stakeholders: the individual (V1 & V4), the enterprise
(V2 & V3), the market (V5) and the European society as a whole (V6).
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 13
Figure 6: The six PROLEARN vision statements
During the foresight analysis, each vision was described in terms of its main goals
and the support factors that must be present in order for the vision to be realized.
The six Prolearn Visions form the main input for the Gap Analysis. During the Gap
Analysis phase, a comparison between the state of the art and the vision statements
will be performed in order to identify the Gaps between what is available today and
what is needed for the future, set capability targets and requirements and the content
needed to fill these Gaps.
2.3 Gap Analysis Methodology
During the Gap Analysis the work has been focused on analyzing the various training
situations of the six Prolearn visions. Figures 7 present the overall framework of Gap
Analysis.
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 14
Figure 7: PROLEARN Gap Analysis Framework
The six Prolearn Visions and their respective support factors are the main input for
the Gap Analysis. The Gap Analysis process consists of three phases:
1. Comparison of State-of-the-Art and Vision
2. Gap refinement – Dialogue with external groups
3. Content to fill the Gap – recommended Actions
Each cycle includes also analysis of each Prolearn Vision from the point of view of
the four Roadmapping core sectors. Consequently the Gap Analysis is divided and
approached according to the specificities of the 4 core sectors (a to d below). This is
similar to the way that the six Prolearn vision statements were originally instantiated
during the foresight analysis.
a) Business/Economics: Important impact factors emerging in economy and
business (particularly in business processes and strategies), which could have a
major impact on the adoption and implementation of Technology Enhanced
Professional Learning in Europe.
b) Technical: Technology factors that could have a major impact on professional
learning and business processes in European companies.
c) Socio-Cultural: Important factors stemming from tensions, which shape the
emerging social and cultural frameworks affecting the adoption and implementation
of Technology Enhanced Professional Learning in Europe.
d) Political: Important factors emerging in policy making that could have a major
impact on the adoption and implementation of Technology Enhanced Professional
Learning in Europe.
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 15
The following figure presents the process methodology of the Gap analysis which is
explained in detail in the following sections.
Figure 8: PROLEARN Gap Analysis process
2.3.1 Phase 1- Gap identification (Comparison of -State of the Art –
Vision)
Step 1 – Amended SWOT analysis
During this phase, the first step was to identify the strengths, weaknesses,
opportunities and competence-related threats to realize each vision statement. This
analysis provided us with the distinct competencies that we have today (Strengths)
and the key capabilities (opportunities) that we need in the future in order to realize
the particular scenario of the vision statement. In addition, the negative or
problematic factors (weaknesses, some threats) that hinder the realization of the
vision were identified.
According to our Gap analysis methodology, the results should also be grouped and
approached not only according to the vision statements, but also according to the
specificities of the 4 sectors. This will allow us to better plan for future R&D based on
both internal (technology related) and external analysis (environmental factors:
Business/economics, Socio-cultural, political) figure 9.
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 16
Figure 9: Gap identification (Comparison between -State of the Art and Vision) – phase 1
The results from the foresight analysis performed in the previous phase of the
Roadmap were used as input for Phase 1 of the Gap analysis.
Input and support for Phase 1:
- Vision statements
- Goals per vision (a goal is a challenge that is difficult to achieve but necessary to
fulfill the vision)
- Support factors per vision (these are critical elements that have been identified
for supporting the realization of the vision)
- Trends analysis and impact of trends on TEPL (identified during our foresight
analysis)
As shown in Figure 9, in the first step of Gap analysis, Phase 1, we use an adapted
SWOT methodology (SWO). This is based upon the conventional SWOT
methodology but threats are implicit within a single cell in Figure 10, "What we do not
need". That cell covers both weaknesses and threats. The purpose of focusing on
what we do not need is to bring out the assumptions and preconditions that have to
be fulfilled for the vision to be realized. Our approach aims to identify the current
strengths (existing competencies), weaknesses (missing or inadequate capabilities),
opportunities (key future capabilities) and capability-related threats (problematic
factors such as competition for sources of capabilities and resources needed to
acquire new capabilities or re-direct existing capabilities) which will contribute to the
realization of the visions.
Figure 10 shows the perspectives associated with the support factors in each vision:
-
What we have today and need for the future – Strength
What we have today and we do not need (is an obstacle) for the future
"What we do not need" meaning internal obstacles – weakness
"What we do not need" meaning challenges in the external environment – threat
What we don’t have today and we need for the future – opportunities
Each perspective leads to a series of questions (For example, where are we right
now in terms of solutions? What is the status of research in the area? What are the
most promising technologies, methodologies and tools, what solutions are
commercially available?) In order to answer each question, we are comparing each
support factor with the State of the Art today.
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 17
Figure 10: SWO matrix
Step 2 - Define the nature of the GAP
Having completed this SWO analysis, it is important to put the results of the SWO
analysis into perspective (how the results are contributing to the key challenges for
the future) in order to clearly define the Gap of what is available today and what we
need for the future. This section provides a conclusion of the analysis done in the
previous section and give us a clear description and understanding of the existing
Gap.
In addition, the underlying assumptions and preconditions needed to fulfill the Gap
for each Vision statement have been listed.
The difference between an assumption and a precondition is that an assumption is a
state of affair which is not under our control (i.e. a trend) while a precondition is an
agreement which has to be in place before the technology can be implemented or
diffused or used etc.
2.3.2 Phase 2 – GAP refinement
In parallel with the Prolearn core group, external experts and groups from Academia,
Industry and Policy makers were providing feedback for extending and validating the
results of gap analysis. This input was used by Prolearn Partners to update the gap
analysis results. For an indicative list of these activities as well as the different
groups and projects involved in this process please refer to section 2.1.2 of this
deliverable.
2.3.3 Phase 3 - Content to fill the GAP – Actions
Based on the results of the previous phases, a portfolio of actions was produced.
Following the approach taken in the VOmap project, after producing the first results
of Gap Analysis, we can derive actions and generate “Influence maps” to represent
influences to the achievement of the vision statements. The derived actions will
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 18
ensure that the right capabilities are in the right place in the future in order to fulfill
the vision statements.
During this cycle the following question was addressed: What is the content needed
to fill the Gap? The result is a list of actions that must be planed in order to fulfill
each vision (figure 11). The final list of actions and their analysis will be presented in
the next deliverable D12.15 “Roadmap for TEPL (version 1).
Figure 11: Actions to fill the Gap
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 19
References:
(BRIDGES, 2002), Deliverable D8 “Roadmap for Digital Business”, BRIDGES
Project, 2002
(Kamtsiou, 2006), V. Kamtsiou, A. Naeve, J. Dang, Y. Denual, P. Lefrere, P. Scott, E.
Duval, V. Zimmermann, C. Makropoulos, D. Pappa, “Envisaged Future States of
Technology Enhanced Learning”, Deliverable D12.10 of PROLEARN NoE, IST
507310, July 20006
(Kamtsiou 2007) V. Kamtsiou, A. Naeve, S. Stergioulas, T. Koskinen, “Roadmapping
as a Knowledge Creation Process: The PROLEARN Roadmap”, Journal of Universal
Knowledge Management, Vol 13, No3. pp. 163-173,
www.jukm.org/jukm_1_3/roadmapping_as_a_knowledge
(Naeve, 2007), Deliverable D1.10 “SECI-based framework for professional learning
processes”, PROLEARN Project, 2007
(Nonaka, 2000) Nonaka, I., Toyama, R., Konno, N. SECI, Ba and Leadership: a
Unified Model of Dynamic Knowledge Creation, Long Range Planning, 2000, Vol 33
(2000), Elsevier Science Ltd.
(Nonaka, 2003) Nonaka, I., Toyama, R., “The knowledge-creating theory revisited:
knowledge creation as a synthesizing process”, Knowledge Management Research
& Practice, 2003, Vol. 1, No.1, pp. 2–1.
(ROCKET, 2003), Deliverable D8 “Roadmap for Digital Business”, ROCKET Project,
2004
(Time2Learn, 2004), Deliverable D3.2 “European Roadmap for professional
eTraining, IST Time2Learn Thematic Network”, 2004
(VOmap, 2003), Deliverable D3 “Interim report on gap analysis (identification of
needs) Identifying necessary research steps for collaborative networks of the future,
VOmap project, 2003
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 20
3. IMPLEMENTATIONS
3.1. Gap analysis VS1
(IST challenge): “Everyone (in the community of current, potential and future
knowledge workers) should be able to learn anything at anytime at anyplace.”
3.1.1 Description of Vision Statement 1
The statement is closely linked to the IST challenge and is focused on the individual.
It embraces issues of digital convergence of communication networks, media,
content and devices. The new capabilities offered by recent advances in mobile and
internet communications can support and facilitate mobility towards a lifelong
learning environment, enabling the creation, storage, management and access to
knowledge everywhere and every time. The aim is to create and deliver a
personalized learning experience to everyone. The word “everyone” in the vision’s
statement title and goals signifies that everyone should have the ability to learn
anything where and when he wants.
Goals:
1. Provide the right learning experiences at the right time for the target person
(which can be everyone)
2. Everyone should have access to all public learning materials at any time at
any place
Vision statement analysis (supporting factors)
This vision is related both to personalization and to access to learning at any time at
any place. Learning as such is a very personal process by itself divided to both the
person and the environment. Learning has a very personal view, such as personal
development and competencies development in a short and long term perspective.
Moreover, in many cases the learner is not aware of what he needs to learn to
develop certain competencies. A negotiation mechanism for power alignment is
needed (pull versus push): e.g. intelligent systems detect the learner’s behavior and
“push” content related to his/her work processes (person related); the other approach
is more like pull-type personalization initiated by the learner himself, relating to
enabling factors such as support systems for mentoring, social trading, reputation
management, size of community contributing to content quality, peer to peer learning
and social learning (environment).
This Vision statement tries to integrate all these different interpretations of learning
and learning approaches. How technology can support the different learning
processes in life of people and provide many choices to learning and how to utilize all
different technologies that exists to remove the barriers to learning including what
people don’t know that they need to learn. This goal also commands that everyone
should have different tools at his disposal available that will help him/her to find,
select and choose among the abundance of options. Therefore, the goal of this
statement is not only to create many choices but also help people decide what’s just
right for them.
Towards this goal, there is also a need for a different type of support infrastructure to
assist learners in choosing the most appropriate product, or in gaining access to
learning with a variety of access means. The new mobility and ubiquity capabilities
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enabled by today’s technology have an impact on the ways people live, work, and
learn. These highly-promising technologies will radically alter the so-called “learning
experience”, in terms of salient parameters such as location, time allocation,
interface design and real-time support by agents. These new experiences will shape
behaviors, practices, and social groupings for knowledge sharing. Mobile and
location based technologies can support and provide ambient content management
and ambient learning networks. They can keep the same information independently
wherever you are and provide ambient learning, meaning that the learner is virtually
connected whenever he wants, to whatever and whomever he wants. Whether he is
traveling to clients, or during his meetings, or at the office, or at home he has
immediate access to all of the facilities available traditionally just in his office.
Moreover, open content exchanges and distribution channels for sharing content
support reconciling supply and demand in the “knowledge marketplace”. They enable
learning and content syndication by many different providers, including provision of
value added services such as access to experts, communities of practice,
experiences and consulting services. This type of knowledge syndication enables the
creation of a big variety of choices, similar to assembling your own media streams.
(In the past there were only a few state owned TV channels. Today, we have many
sources to choose from.) Self-organization and proactive control of learning in that
sense becomes very important, supported by personalized learning environments
where the importance of creating and maintaining various kinds of relationships is
becoming paramount.
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3.1.2 SWO Analysis
(BE=Business Economics, T=Technical, SC=Socio Cultural, P=Political)
ID
Vision Statement 1 (IST challenge)
Strength: What we have today and we do need
S1
S2
S3
S4
S5
S6
S7
S8
S9
S10
S11
S12
S13
Rapidly developing information and communication technology
Multiplatform Internet access
E-learning and technical standards and specifications seeking for
interoperability
Semantic web initiatives
Various software solutions for learning, communication, collaboration,
publishing, including open source
Alternative ways to capture the knowledge (photo, video, text, audio)
Integrative learning based on bottom up approaches (blogs, wikis,
media sharing)
Opportunity to establish and use Learning Networks
Professional associations offering learning services
Huge amount of information on the Web
Sophisticated information retrieval facilities
Thematic Learning Networks and Communities of Practice
Good research ground-work on adaptivity and personalization
techniques and technologies for learners
T
T
BE T
T
T
T
T
T
BE T
BE T
T
T
SC
SC
SC
SC
BE
SC
BE
SC P
Weakness: What we have today and we do not need
W1
W2
W3
W4
W5
W6
W7
W8
Heavy use of old (industrial) educational methodologies that do not
reflect new conditions and requirements
Old curricula forcing students to learn many facts that can be easily
found
Information overload, too many options to choose from
Many primitive user interfaces
Sometimes unreliable technology
Popularity of low quality content distributed by mass media
Low popularity and attractiveness of (life-long) learning
Lack of standards on Adaptivity and Personalization
SC P
T
T
T
SC P
SC
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 23
Opportunity: What we do not have today and we need
O1
BE T
O3
Individualized personalized learning supported by ICT
Learning based on sound methodologies considering learning
processes, development of competences and skills
Research based education supported by experiments
O4
Interest, motivation, and curiosity driven learning
O5
Informal life long learning
O6
Support for discontinuous learning
O7
Adaptive and contextualized learning experience supported by ICT
BE T
Exogenous Learning Networks based on the appropriate community of
T
practice and not on the platform
Syndicated and interoperable repositories providing learning objects
BE T
and activities, as well as competence development programmes
Effective and efficient information, community, and expert retrieval,
T
based on context and semantics
Learning evaluation showing its effectivity, efficiency and satisfaction
T
of learners
New business models for learning, including knowledge markets with
BE T
one-stop shops
Robustness, resilience, and security of network infrastructure and
T
service platforms
Harmonization of e-learning standards
T
O2
O8
O9
O10
O11
O12
O13
O14
O14 Continuous user assistance provided by autonomous software agents
Multiplicity and interoperability of delivery modes (networks, devices
O15
and service infrastructures) to support ambient and nomadic learning
More fluent, dynamic and transparent collaboration between research
O16 groups. No unrecognized overlap. Cross-functional groups and
networks not focused on only one area
O17 Conceptual modeling of different knowledge domains
BE
SC P
BE
BE
SC P
SC P
BE T
SC
T
SC
SC
SC
SC
SC
T
T
BE
SC P
SC P
3.1.3 Assumptions – Preconditions
Assumptions:
• The statement doesn’t imply that companies should allow access to everyone
to their proprietary knowledge that the companies have developed in-house.
By “access” we mean access to all learning material publicly available.
• Web 2.0 has created a new attitude towards learning (knowledge sharing,
networking, learners communities, learn from informal network). New
business models and opportunities are emerging because of the web 2.0
phenomenon.
• People more and more don’t feel as part of a nation or a state anymore but
part of “communities” worldwide. The exogenous approach to resources and
platforms merges different inputs within a single community of practice
focused on the topic and the relation and not on the technical or affiliation
restrictions.
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•
•
•
•
•
•
The separation between work and not work is becoming very blur today. The
whole Professional area is becoming blur (what is used to be actual work as
working “formally in the office”).
The Internet is expanding, and there is a huge and further raising amount of
public information on the Web
Information retrieval facilities are becoming more effective
Semantic Web is under development
Capturing information is easier than before
Bottom-up learning approaches become popular
Preconditions:
•
•
•
•
•
•
•
•
•
•
Interoperable learning repositories
Harmonization of learning standards
Knowledge management based on semantics
Innovative educational methods (e.g. interest, motivation, curiosity driven
learning)
Attractive forms of learning (e.g. integrated into leisure time, entertainment –
game based learning)
Individualized personalized and contextualized learning supported by ICT
Support for informal life-long learning
Support for ambient and discontinuous learning
Appropriate business models for learning
The individual in community is taken control of the learning process
3.1.4 Nature of the Gap
In the business area separation between work and not work is not clear today
anymore, especially for knowledge workers. Learning tends to be transparently
integrated into work processes, thus it needs to be ubiquitous and nomadic.
Traditional educational institutions prevail and new appropriate business models for
learning services are still missing, which is a major drawback nowadays.
The technical field witnesses the most rapid development, particularly of
information and communication technology. Originally separated technologies are
being integrated, combining various benefits. Mobile devices enable ubiquitous
communication services and access to huge amount of information. Anyway,
standards and specifications are not harmonized, what causes interoperability
problems, for instance there is a need of interoperable learning repositories.
From the socio-cultural perspectives there are essential differences in the
availability of the modern technology and services, as well as in digital literacy that is
often missing. One sixth of the world population has access to the Internet and can
benefit from its innovative services – information, publication, communication, and
collaboration. A major issue of information overload has been addressed by effective
information retrieval and recommendation services. Huge popularity of mobile
communication devices shows a promising direction for development of learning
services. Open content exchanges and distribution channels are crucial for
integrative learning based on bottom-up approaches. The modern trends focus on
individualized and personalized learning, as well as ambient and nomadic learning.
In the political sphere there is a demand to support new educational models and
methodologies that are necessary for both formal and informal life-long learning.
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3.2. Gap analysis VS2
3.2.1 Description of Vision Statement 2
(Industry Challenge): “Learning as a means to support and enhance work
performance.”
The statement is related to specific industry challenges, such as performance
support and performance improvements at the work place.
Goals:
1. to support human performance improvements and to provide links between
business processes, competencies and learning processes
2. to use TEPL to design high quality work-based learning activities so that
learning and working becomes interlocked
Vision statement analysis (supporting factors)
Vision statement 2 is related to industry and it is focused on the organization. Use
TEPL as support and enabler for work performance. It is linked to organizational
issues where the company wants to deal with work performance in the area of giving
the company increased productivity. This statement is therefore more related to the
structured and known business processes of the organization. This differentiates this
statement from Vision Statement 3 which focuses on using TEPL to support
innovation and creativity in the company and support large scale changes in the
organization related to unstructured and iterative business processes.
It is increasingly acknowledged that learning and business process management
cannot continue to be treated as “separate worlds”. The problem with today’s elearning systems is that they are still lacking the necessary interfaces between the
learning systems and the business information systems in order to align learning
technologies with business processes. This necessitates to link learning to corporate
Knowledge Management systems in order to identify Learning Management as a key
requirement and built learning into the enterprise’ organizational structure. Including,
being able to find who knows what and where to go inside and outside the
organization to find the information that you need.
There is also a need for real life examples to link learning processes to real work
context and make it meaningful for the employees, by providing learning that is
based on real work environments and work processes. In the context of learning to
learn in realistic environments, we also need to empower employees to acquire and
deploy new knowledge very quickly at their job, (i.e. just in time learning which
provides instant access to resources while the employees are working) and provide
continuous learning to employees in a sense that are constantly on a learning curve.
A conceptual framework of how to link learning technologies to work performance
and link the results of learning performance to work performance is of paramount
importance. This translates in a need for new tools and methodologies and services
to a) link business process management to learning design methodologies (i.e.
Competency based business process analysis) and b) to measure learner
performance in relation to the defined learning goals and business needs. The new
learning systems should be able to understand the skills and competencies required
by the new business processes and match them with learning experiences in a way
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that will be transparent to the user. At the same time individual learning strategies for
assessment performance and indicators to monitor the results of learners and their
performance must be in place in order to effectively measure the impact of learning
on performance. (“How many/much?” or “How well?)
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3.2.2 SWO Analysis
(BE=Business Economics, T=Technical, SC=Socio Cultural, P=Political)
ID Vision Statement 2 (industry challenge)
Strength: What we have today and we do need
S1
S2
S3
S4
S5
We have strong business awareness on the need of informal learning
and knowledge as key driver for change: a) for knowledge workers:
working, communicating and learning grow together in real life; b) HR
BE
managers are challenged to link professional learning with work
improvements; c) learning technologies are being used in enterprises for
professional learning
Personalized Learning Environments are available (learning portals,
T
knowledge management platforms, learning management systems)
Skills & Competency Management Systems are available
T
Virtual networks are available but should be improved
T
We have the conceptual and didactical frameworks for performance
management: a) Concepts for integration of instructional design, learning
processes and competency management; b) measures for learning
performance; c) adaptation methods for learning based on individual skills
and situations as well as working tasks
SC P
Weakness: What we have today and we do not need
Management driven approaches purely looking on business performance
W1 neglecting employee self-creativeness: a) Peoples’ needs should not be
BE
neglected; b) Performance management has to be done seriously
W2 Over designed complex software solutions in a monolithic form
T
Redevelopment of existing technologies already available in the internet
W3 as day-to-day tools for knowledge work and management (e.g. google,
T
wikidedia, wikis, blogs, instant communication, etc.)
Inappropriate (complex) Methodological Approaches: a) Only top down,
or only bottom up solutions are not sufficient; b) measures for performance
W4
BE
that are too difficult to handle or to collect the data c) over engineered
procedural models and application guidelines
SC P
Opportunity: What we do not have today and we need
Alignment of top level management views and bottom up reality: a) user
behavior of knowledge workers does not match to management view and
O1 philosophy; b) experiences, best practices and guidelines in order to
BE
provide better alignment between the various processes and increase
work performance
Methods and Technologies for measurement of work performance: a)
BE
O2
relations between measures for learning; b) measures for work
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 28
O3
O4
O5
O6
O7
O8
O9
performance; c) integrated Assessment methods that enable
identification of skills gaps of knowledge workers; d) contextualized
assessment of the Collaboration process
We need a clear methodological approach characterizing work
performance: a) get a better and clear understanding of the relation of
business needs, skills/competencies, learning and work processes; b)
BE
collect experiences, best practices and guidelines for the use of learning
technologies that help to increase work performance; c) clear measures
for learning and work performance, linked to ROI, but not only
We need better measurements for work performance: Competency
BE
management technologies in the middle of business needs and learning
technologies
We need better measurements for work performance: Business views on BE
social, informal learning and how to use web 2.0 technologies best in
companies
We do not have Flexible Learning Services Frameworks: a)
interfaces/webservice frameworks that integrate the existing technologies
both from a user's view (bottom up) and a management view (top down), e.g.
based on SOA; b) technologies should support the knowledge worker as
well as the management; c) Web 2.0 applications and social software is
still not in use enough
Competency management technologies for knowledge workers are
missing, supporting instant search and semantic retrieve of knowledge
and learning resources and individualization of learning
Open and interoperable technology platforms are missing (the interface
itself should not be standardized the technology to build the interface
should be standardized)
Tools should be easy to manage, deployable in companies and accepted
by employees
T
T
T
T
3.2.3 Assumptions – Preconditions
Assumptions:
•
•
•
•
•
Learning technology must get higher management awareness through
positive success stories and having an ROI impact
Companies coming from knowledge intense businesses prove that
performance of people through investing in learning technologies have an
ROI impact
Unions don’t see it as negative if companies aim to measure peoples
performance.
Standard technologies for learning performance monitoring and measuring
come into place
Knowledge management technologies and web 2.0 technologies have
positive impact on learning technologies.
Preconditions:
•
•
Human resource business units need to stronger interlink their activities with
business units and training units.
ERP solution providers must be open to integrate learning technology by
offering open interfaces and webservices to learning technologies
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•
•
Management awareness for learning technologies should be increased as a
key element of company performance
Unions should take into account the positive effect of learning technology in
relation to the company’s performance.
3.2.4 Nature of the Gap
In the business area work performance is strongly linking business needs,
competency needs and learning to help knowledge workers. We still have to bridge
the gap between a top down view and a bottom up view:
•
Top down View: companies must make sure, that learning fits both to the
individual competency gaps and the business needs. Only if both aspects are
in balance, they reach acceptance at employee level and can increase
business performance through learning at workplace.
o "time2Competency" matters; link to competency management
o Performance Management must be business driven
o Configurable personal learning environments come into place
•
Bottom up View: Knowledge workers use learning technologies
element of information and knowledge gathering and exchange.
learning technology" and social learning forms support knowledge
stronger than managed learning technologies
o Web 2.0 applications - User-centric views - Exchange of all
content will be necessary (rating, feeds, ...)
o Learning technologies must be linked
as one
"Instant
workers
kinds of
From a technical point of view we have to bring competency management
technologies into place that can be used also for knowledge workers. Projects at EU
level address this issue, so that we can expect that results come up in the next two to
three years. The interoperability of knowledge management technologies, learning
management and web 2.0 technology is of critical importance for that.
From the socio-cultural perspectives there are essential efforts to do concerning
the awareness and use of learning technologies at management level. The topic is
not in focus of a company’s management as the ROI impact has not been proven. In
addition, there is missing openness from the side of unions. Depending on the
country we use the technology, there is more or less openness and active support for
the vision.
In the political area there is a demand for policy makers to continuous support
projects in the area of vision 2 in order to ensure, that new technologies come into
place. The funding of related projects should continue at least 5 to 8 years in order to
ensure, that proven technologies come into place. We are still at the beginning of
this.
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3.3. Gap analysis VS3
3.3.1 Description of Vision Statement 3
(Industry Challenge): “Promote innovation, creativity, and entrepreneurship at
work.”
The statement is related to industry challenges such as investment and development
of the company’s human capital and use of learning to support ability to change in
organization.
Goals
1. learning supporting radical change in an organization and improving ability to
change;
2. to support innovation in an organization by enhancing knowledge sharing and
collaboration;
3. To develop specific competences related to thinking out of the box, creativity,
asking the right questions, leadership.
Vision statement analysis (supporting factors)
This Vision Statement is focused on the organization and the role of its employees as
something much more than just simple actors in a process chain. It recognizes
human capital as the key to organization’s completive advantage. Employees are not
passive consumers of knowledge, but are capable of critical reflection and they can
provide feedback to the processes of the organization. This is a new view of the
organization, where search-based learning is coupled with reflection within the
organization. The big challenge is how to create an atmosphere of collaboration
within the organization to foster innovation but also how to create an atmosphere and
attitudes of people in the organization to make room for reflection and contribution to
get new products out of TEPL. To facilitate this type of innovation, a new educational
culture and mindset is also required.
The success of knowledge-based organizations today depends on how well they are
able to organize their collaborative and innovating processes. Organizations are
becoming more and more project based with multidisciplinary teams working
together around the world (within and across companies).
Globally integrated
enterprises are very different today, because they manage and optimize their
processes at a global scale. The organization’s processes are no longer focusing on
individual companies. The question is where things can be done best way and how
this can be linked around the world. In such a collaborative, contribution based
environment, the role of the traditional enterprise is sifting to manage and facilitate
these complex networks of individuals, groups and projects.
An important change relating to the organization of jobs and company structures is
emerging, which tends towards the demise of hierarchy as well as of specific titles
and job descriptions, with a strong tendency towards flexible types of jobs defined by
the particular “project” assignments. At the workplace there is a move from close
supervision to more independence and responsibility. The knowledge worker is
highly self organized, triggered by objectives not by tasks, and performs processoriented activities that are themselves unstructured and complex and assumes
personal responsibility for setting their own direction. This implies leadership
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 31
qualities. We need to link the top down management views of today to this new
bottom up business reality. Move away from central control and allow for the chaos,
fluent behavior and redundancy needed for collaboration, creativity and innovation.
These bottom up models also require for training people of how to take more
responsibility and independence for their learning, professional advancement and for
their jobs.
This vision statement is driven by the new meaning of innovation today. More and
more, innovation results from people working together in new integrated ways,
therefore, true innovations are coming from whole eco-systems not by one individual
or groups. In addition, complex problems require more knowledge than any single
person possesses, therefore it is necessary that all involved stakeholders participate,
communicate, collaborate, and learn from each other. The role of interaction and
collaboration is critical to creativity. Instead of cooperation, when the different
individuals or groups are not required to know what goes on in the other parts of the
project, in collaboration people communicate with each other and are aware of the
work of their colleagues.
When we look at learning as a collaborative knowledge creation process, there are
new elements that go beyond formal learning. More and more deep learning
processes happen outside these traditional educational approaches.
New
educational culture and mindset to facilitate innovations related to this informal type
of learning are needed away from teacher centric models and allow for creativity and
collaboration to be at the center of the learning process. Networking and
Collaboration technologies play a big role on supporting this type of learning and
knowledge sharing such as web2.0 applications and Social Software. (blogs, wikis,
RSS, pod/vodcasting, social bookmarking, media sharing, video/phone etc. )
Knowledge networks and communities of practice are enabling people to interact
outside the boundaries of the organization i.e. building on professional associations,
alumni, etc. In addition, knowledge workers are expected to form these types of
networks within and outside their organizations, master the skills of creative
collaboration and respond to frequently changing situations and priorities.
Intelligent agents can be used to increase a better demand-driven access: intelligent
search engines to locate valuable content, communities and experts. Simulations
and games can also play an important role in learning since they provide a safe
environment for experimentation where people can try new things without mistakes
matter.
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 32
Vision 3
Goals 3
Professional
Learning
Outcome 3
Learner/employee empowerment
(train your people on how to take
more responsibility, independence)
Project-based organizations
Situated Learning: Self-organized
Communities of Practice
Social Processes (of knowledge
sharing and collaboration):
Managing diversity
Collaboration/users contribution
Web 2.0 applications
Social learning, collaborative tools,
software
Knowledge Sharing
Find peers and benchmarks to support learning
learning from other’s experiences
Knowledge networks, Communities of Practice
Codifying of experiences across industry sectors
Through new information hubs
Intelligent agents
Search-based learning: using search engines to increase
A better demand-driven access
Mentoring and Coaching
Gaming & simulation
No algorithms that would guarantee a solution to
something as intangible as innovation
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3.3.2 SWO Analysis
(BE=Business Economics, T=Technical, SC=Socio Cultural, P=Political)
ID
Vision Statement 3 (Industry challenge)
Strength: What we have today and we do need
S1
S2
S3
S4
S5
S6
S7
S8
Web 2.0 /Social Software: Networking and collaboration technologies
that support knowledge sharing and collaborative knowledge creation
(e.g. blogs, wikis, RSS, pod/vodcasting, social bookmarking/tagging,
media sharing, video/phone conferencing, instant messaging etc.)
Simulations, games, mobile technologies
Technology as enabler!, changing attitudes of learners
Open Innovation
Flexible productivity and working model
Cross functional teams and project-based work
Companies allow usage of social tools
Social movement, people want to share
T
T
T
BE
BE
BE
BE
SC
Weakness: What we have today and we do not need
W1
W2
W3
W4
W5
W6
W7
W8
Learning = formal training as side activity
BE
View of knowledge as content that can be captured and stored (today
we capture information rather than knowledge, tacit knowledge is hard BE
to formalize and capture)
Focus on capturing best practices (Knowledge as content rather than
process; knowledge life is short, yesterday’s solutions don’t always
BE
work today, we should rather focus on good or proven practices and
learning from failures)
Delivery of static and pre-defined learning content (knowledge push)
T
Centralized, feature-rich and complex KM/LM systems (KMS, LMS,
T
LCMS, CMS), centralized LORs (lack of adoption)
Inflexible business models and control (enemies of innovation and
creativity)
Competitive culture i.e. culture that rewards knowledge workers based
on what they know
Creativity is not productivity
SC P
SC P
SC P
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Opportunity: What we do not have today and we need
O1
O2
O3
O4
O5
O6
O7
O8
O9
O10
O11
O12
O13
Aggregated combination of formal and informal learning, KM, and Web
BE
2.0 concepts
Small pieces loosely joined principle: Distributed content, distributed
BE
services, distributed control
Bottom-up models (let structure emerge naturally, driven by the
BE
learner/knowledge worker, based on sharing rather than controlling)
Multi-user game-based learning
T
Knowledge-pull models, intelligent search engines to locate valuable
T
content, communities and experts (Awareness of expertise)
Create, sustain, and share tacit knowledge through socialization,
discussion, dialogue, and participation
Effective ways to share explicit knowledge (information)
Community building, knowledge networking, and knowledge
clusters(exogenous knowledge, go outside the organization
boundaries to involve customers, partners, suppliers, and other
organizations)
Culture that supports failure documentation (Learning from failures)
Culture that supports knowledge sharing and fosters trust (create
opportunities for people to meet and interact, reward rather than
punish collaboration initiatives, collaboration as key part of the
performance evaluation of knowledge workers, new reward schemes)
Move away from one-size-fits-all content-centric models towards a
learner/knowledge worker-centric model (Personal Knowledge
Management PKM, Personal Learning Environment PLE)
Develop new pedagogical models based on distributed cognition (i.e.
ability to interact meaningfully with tools that expand mental
capacities) and connectivism which presents learning as a
connection/network-forming process
Need for new crucial skills including: a) the ability to navigate and
learn across different communities; b) Master of the 5 Cs: Content,
Conversation, Connectivity, Collaboration, and Context
SC P
SC P
SC P
SC P
SC P
SC P
SC P
3.3.3 Assumptions – Preconditions
Assumptions:
There is a visible move toward open environments where collaboration is the
norm.
Learning is social, personal, distributed, flexible, dynamic and complex
Organizations are becoming more and more project based with
multidisciplinary teams working together around the world (within and across
companies)
At the workplace there is a move from close supervision to more
independence and responsibility.
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Preconditions:
Flexible learning models that are open to change to meet the needs of the
new knowledge society.
A participatory culture with relatively low barriers to artistic expression and
civic engagement, strong support for creating and sharing one’s creations,
and some type of informal mentorship whereby what is known by the most
experienced is passed along to novices. A participatory culture is also one in
which members believe that their contributions matter, and feel some degree
of social connection with one another (Jenkins, 2006).
Trust as a major prerequisite for knowledge sharing
3.3.3 Nature of the Gap
From a business as well as a socio-cultural perspective, Peter Drucker argues
that in the emerging economy, knowledge is the primary resource for individuals and
for the economy overall; land, labor, and capital. He further arguments that improving
knowledge worker productivity is the greatest challenge of the 21st century (Drucker,
1994). Similar to a knowledge worker, a professional learner is a person who
doesn’t just consume knowledge but who is able to create it. Over the past few
years, the Web was shifting from being a medium, in which information was
transmitted and consumed, into being a platform, in which content was created,
shared, remixed, repurposed, and passed along (Downes, 2006). We are entering a
new phase of Web evolution: The read-write Web; a new generation of the Web
where everyone can be a consumer as well as a producer of knowledge in new
settings that place a significant value on collaboration. Web 2.0 technologies have
been opening new doors to the professional learner for more dynamic and social
learning. The new Web trends have offered new means to connect people not only to
digital knowledge repositories but also to other people, in order to share ideas,
collaboratively create new forms of dynamic learning content, get effective support,
and learn with and from peers. Since learning is social, personal, distributed,
flexible, dynamic and complex in nature, a fundamental shift is needed toward a
more social, personalized, open, dynamic, emergent and knowledge-pull model
for learning, as opposed to the one-size-fits-all, centralized, static, top-down, and
knowledge-push models of traditional learning solutions.
As far as the technical perspective is concerned, current learning models are
following a static and pre-defined representation of knowledge and put a heavy
emphasis on content and technology. Learning is however more than static content
and technology is just an enabler. At the heart of the learning process lie people.
Consequently, current learning models have to be replaced with new models that
reflect the social nature of learning and respect the human side of knowledge. In the
future, people driven implementations of learning models need to be the norm rather
than the exception.
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3.4. Gap analysis VS4
3.4.1 Description of Vision Statement 4
(Employee perspective): “Learning as a means to increase employability.”
This statement focuses on the Learner’s perspective, the employees’ continuous
professional development, and the need to increase employability.
Goals
1. to promote resiliency, personal growth and fulfilment
2. to enhance mobility, employability and competency of the workforce
Vision statement analysis (supporting factors)
Employability (of all workers, not knowledge workers specifically) was recently
defined as "...the combination of factors and processes which enable people to
progress towards or get into employment, to stay in employment and to move on in
the
workplace."
(http://www.scotland.gov.uk/Topics/BusinessIndustry/Employability/definition). The mention of a "workplace" in that definition of
employability shows the continued influence of mid-20th century forms of
employment: coming to a specific location ("the workplace") to do work that was
defined by the employer rather than by the employee.
The notion of employability is changing dramatically for knowledge workers. They are
gaining much more say in what they do, where they do it, how they do it, why they do
it, who they do it with, and what ownership they retain. Compared to the mid-20th
century's white collar workers (arguably low-technology precursors to today's
knowledge workers), today's social structures and employment ecosystems are
changing rapidly. Most of today's students will find their employers can no longer
offer long-term employment. They will have to look for new jobs many times over
their lifetimes, and will need to pay great attention to their employability, by refreshing
their qualifications frequently if they intend to stay in the same line of work, or they
will have to change their field and acquire qualifications to suit.
For learners aspiring to be knowledge workers, the word "employment" has
broadened to include not only the old stereotype (being hired and retained as an
employee of a single organization) but also other ways to work and to live, such as
entrepreneurship, portfolio careers, self employment, consultancy, project based
work and short-term employment.
Clearly, the "workplace"-influenced definition of “employability” needs to be
expanded to take account of those changes. Accordingly, we use the term
“employability” in this Vision Statement as “competencies that can increase
professional choices”. Similarly, the term “workforce” in this vision statement refers
to “knowledge workers”. In the knowledge economy, everyone can be a knowledge
worker: Aggregating knowledge, filtering it, reflecting on it and adding value to it.
This vision statement aims at both increasing professional choices for knowledge
workers (for example by reducing the barriers to becoming a competent member of
other professional communities and sharing their knowledge widely) and also
assisting them to find activities (or create activities) that count as being employed.
Sharing knowledge within a community of knowledge workers, to help everyone to
improve on-the-job performance, is the key towards this aim. In the classic
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"workplace" model of employment, if people lose their job based on bad performance
it goes on their record and makes it difficult to find another job. In the new
"knowledge community" model, people can find mentors within a community, to bring
them up to a professional level of competence; but if they do not repay that
investment by sharing their own new knowledge, they will get a bad reputation in the
community and will gradually become excluded from it.
In our context, we look at employability from a lifecycle point of view: employability =
get a job (make a good impression at a certain time) + maintain a job (performance
related). What is changing is who has to be impressed: the community of knowledge
workers, as well as individual employers.
The word "resiliency" in the vision’s goals relates to knowledge workers' ability to
adapt to change and minimize risks caused by the frequent shocks in the system.
Resiliency in this context is how people cope with realities of life and life challenges.
Where do we have the spaces in our lives to deal with important real life challenges,
like a threat of losing our job? People are facing challenges at their jobs such as an
appraisal of some kind (job interviews, promotion interviews, annual appraisals) and
they have only one chance to get it right. In order for someone to maintain a job, it is
important to practice in a safe environment. When you look at this vision we also
looking at the kind of environment that people can practice and learn without
mistakes mattering.
When we look at implications of learning as means to increase employability,
increased adaptability is very important: tools that enable building on personal
strengths. A knowledge worker needs to choose only the relevant things and build on
them. S/he needs to reflect: validate, think about the points made by others and
recognize the strengths and weaknesses so s/he knows where to improve. The
training offer and knowledge content must be tailored to meet the requirements of the
individual customer, and move from reactive learning to proactive learning and from
single loop learning (learn how to solve problems) to double loop learning (learn how
to admit mistakes) and beyond (eg learn how to anticipate and avoid mistakes). We
need mechanisms that move beyond single loop learning. i.e. In the case of
benchmarking how you tell a story about yourself that leads others to better
practices? We need benchmarking for personalization and portfolios. In a Knowledge
economy, everybody is an operator, who has something to sell. We are already
going towards project-based employment or short term employment. We need to
share good practices on how to maintain a knowledge portfolio (what can I do, what
is the value of my contributions, who to talk to, who do I need to connect backwards,
what are my resources), and how can I map this to the different work contexts.
Moreover, if we see this statement as employment in the classical way, then it
becomes a framework of a zero sum game, either someone gets the job or not –
what am I producing, what am I depending on, what are my reactions, what are my
sources? When we look at tomorrow’s employees as knowledge workers (in the
future every employee could become a knowledge worker), the aim of this vision
statement is to use learning in order for them to both acquire skills to perform today’s
job and be able to grow. Their contributions, can give a possibility for both being
employable and creating more for all.
The support factors in the career advisory services group is more about how
someone makes a transition from being a follower to being a leader. That whole
mind set, where we thinking of ourselves as employers, managers of our selves and
our brainpower. We don’t just consume information but we are able to aggregate
information, and connect information. The challenge in these areas needs to deal
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with higher order issues than the precise competencies. Where is the confidence
building part in personalization, etc. for action taking? How to encourage people to
feel confident to “just-do-it”? How to train people as potential project participants?
How to educate them to operate under this type of contract? It is more about active
choice. It also requires skills that will allow people to present their vision and build a
portfolio, not just about the small tasks but about where they are going. They have to
build your knowledge their own way. In that sense, self managed learning is very
much connecting to this vision statement.
Moreover, there is a need to identify the kinds of capabilities that companies need in
the knowledge age and how to build networks of capabilities. Identify the kinds of
jobs that will really add to competitiveness. For example if we take entrepreneurship
as a category, the aim is to support the kind of entrepreneurship that scales up and
creates the next Big Thing (a breakthrough product or service, or new way to reach a
market).
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3.4.2 SWO Analysis
BE=Business Economics, T=Technical, SC=Socio Cultural, P=Political)
ID Vision Statement 4 (employee perspective)
Strength: What we have today and we do need
S1
S2
S3
S4
S5
The beginnings of market transparency for knowledge workers
seeking employment across borders, as part of the development of
standardization by HRM departments of ways of describing job
BE T
opportunities in terms of competencies, levels of performance and
their linkages to business processe
Social software easily mastered by knowledge-workers enables them
T
to readily share and build on the ideas of other people
Social software makes it easier for knowledge workers to join informal
communities of practice, where they find people they trust and feel
T
safe in asking advice
Predictable environment for employees, regarding EU adoption of a
single framework for qualifications and competencies, which helps to
T
increase the portability of learning achievements
Social software increases the employability and job mobility of
knowledge workers by enabling them to learn fast which qualifications
/ experiences are most valued by employers
SC
SC
P
SC
Weakness: What we have today and we do not need
W1
W2
W3
W4
W5
W6
Qualifications and experiences that are no longer relevant because of
technical changes, and which reduce profitability and employability
(employers are reluctant to take on people whose experiences hinder
them in adapting to modern work-patterns and make it harder for them
to acquire the specialized competencies needed today (in some
cases the weakness can be overcome through unlearning)
Low-grade Privacy protection technologies (anonymity of data). What
we have today is not sufficient to hide details of who is working on
what kind of project. Threats include poaching staff and industrial
espionage.
Inflexible business models to manage experience
In workplaces where competitive culture is the norm, people get
rewarded on what they do or what levels of performance they can
reach in competition with colleagues and will not direct others to the
level of performance they would need to succeed.
The use of corporate group working tools (eg Sharepoint) for evidence
building portfolios conflicts with private issues (e.g. non-disclosure
agreements) and hinders the portability of learning achievements
Easier data-mining and pattern-detection, which makes it easier for
trade secrets such as process knowledge to be gleaned from partial
information; one implication for knowledge workers with multiple
clients is that they need to prioritize between two incompatible goals:
increasing employability through disclosure and protecting privacy and
information of companies
BE T
SC
BE T
SC
BE
P
BE
BE T
SC
P
T
SC
P
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Opportunity: What we do not have today and we need
O1
O2
O3
O8
O8
O9
O10
An affordable web service based on Semantic Web technologies and
Patterns that makes available to SMEs, portfolio workers and
individuals the EU's best-practice methodology and applications for
describing competencies, levels of performance and links to
BE
specific job roles. This would enhance the mobility of knowledge
workers and their opportunities for career management The
semantic aspect would facilitate localization to suit the needs of
different groups.
Need for professional ethics competencies becomes increasingly
important for portfolio workers who need to be able to prioritize
BE
between incompatible goals (e.g. non-disclosure agreements, use
of sensitive information)
Ways to personalize learning strategies so that learners are better BE
able to develop a fruitful blend of the formal e-learning courses
they receive from employers, and the opportunities they have to
learn informally from practitioners, in authentic settings (e.g. at
work and in social networks)
Political and business support for schemes to sponsor new kinds of
career services, mentorship programmes and courses for prospective
knowledge workers, to enable them quickly to acquire the insights of
BE
"business-friendly" knowledge workers about how to be of high value to
entrepreneurs and to rapidly growing or changing businesses
Economies other than cash (e.g. social recognition, visibility, credit
points, etc.), which knowledge workers can use to facilitate
BE
mentorship programmes, equivalent to the ones we see in web 2.0
applications.
Career advisory services: Scenarios, good practices, examples of
failure should be available and easily assembled in order to facilitate
community based work.
Lack of interoperability of e-portfolio initiatives (learning information
documents should be easily transferable between countries
(political level) and information systems (technical level)
T
SC
T
SC
P
P
SC
T
T
SC
P
P
3.4.3 Assumptions – Preconditions
•
•
A widely anticipated trend in the future is a global "race for talent" (meaning
high demand for top-quartile performers, especially in knowledge-based
industries). Current and aspiring knowledge workers who are talented will
have wider choice of how they work, leading to a rise in the proportion of
knowledge workers who choose to be self-employed or choose short-term
employment. In this scenario, the number of portfolio workers will increase
and their employability will demand the ability to anticipate the requirements
of constantly changing work community.
In the skills base associated with high-performance knowledge work, there
will be a move from simpler to more complex skills and from skills that suit a
slowly changing world to high-agility skills, needed to cope with a faster
changing world.
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Preconditions:
•
•
This vision statement aims at both increasing professional choices for
knowledge workers and also assisting them to stay employed. Having the
skills needed for a high level of "On the job" performance is the key towards
this aim.
Knowledge workers who aspire to be high performers should join
communities of practice that contain people who perform at that level, and are
willing to share their insights. Key insights include: how to be proactive, able
to anticipate the problems before they occur; and how to understand how
their work is related to a larger context and so be able to anticipate undefined
needs of their co-workers in order to be able to adapt effectively to the
business process. This is easier done in small organizations than in large
organizations. Direct access to high level management information might not
be possible in large organizations, which limit access to Knowledge
Management systems on a need-to-know basis. On the other hand, top down
approaches lead to outcomes of poor quality and tasks not done efficiently.
Therefore, someone needs to have the role to document the overall business
process and share it with the organization.
3.4.4 Nature of the Gap
This vision statement (“Learning as a means to increase employability”) directs our
attention at such issues as how knowledge workers can learn to stay employed by
anticipating changes in market conditions (or by being agile enough to respond
quickly and appropriately to those changes), and refining and adapting what they
offer employers, to meet those new conditions. What is needed here is considerably
in advance of the state of the art in vocational education and training. For example,
globalization is already a problem for knowledge workers in the West, in the sense
that that their continued employability depends on their ability to compete with lowwage economies elsewhere. Thinking through the implications of the vision
statement, one way to compete is to seek out local niches for knowledge work (a
"long-tail" approach to finding opportunities), and then acquire new knowledge,
appropriate to those niches, which can be turned into services for an employer. The
goal is to offer localized forms of knowledge work (localized services are often hard
for off-shore knowledge workers to compete with). Localization of e-learning courses,
like personalization of those courses, requires fast, effective, low-cost ways to
incorporate new content, new methods, tuned to the specific needs of the knowledge
worker and their employer or prospective employer. Unfortunately, while research in
those areas is beginning to show good results, we are still maybe a decade from
affordable, flexible, powerful and personalizable learning technologies, able to make
a big difference to employability. The same points can be made about Vision
Statement 1 (regarding the need for courses on "anything"); Vision Statement 2
(regarding how to update, quickly and affordably, all information relevant to “Learning
as a means to support and enhance work performance"); and Vision Statement 6
(regarding how to cut the cost of personalized “Access to professional learning for
all”).
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3.5. Gap analysis VS5
3.5.2 Description of Vision Statement 5
(market dimension): “Consumer driven market take-up, based on increased
market transparency and the availability of a wider range of offers, ”.
This vision focuses on market take up for TEPL. It involves the development of all
segments of the market, ranging from the low end commodity market to the high end,
upscale, high value added segment, with a succession of different segments offering
a consistent variation in the price/benefit ratio, relying on emerging European
industry players.
Goals
1. To enable the customer to purchase, not only at any time and in any location
(as described in vision statement 1),
a. any type of professional learning/training technology enhanced
service or combination of services, from the most basic ones to the
more complex ones
b. at any price, as market transparency and the increased availability of
products and services allow the customer to understand the price
performance ratio of a wide range of offers
c. from any channel or vendor, ranging from online marketplaces to
high-end consultancies
d. for any individual with professional needs in age to be part of the
workforce or in retirement
2. To achieve significant TEPL adoption in three different market segments
a. large corporations and organizations in knowledge intensive industry
sectors: continued leading edge research and investment
b. SMEs, which represent 90% of companies in Europe : widespread
adoption
c. individuals : for life-long learning
3. To address the wide range of needs of these three main market segments,
with product/service offerings ranging from the basic low cost offering
involving static content to services targeting communities of practice such as
content creation and sharing
4. To enable the emergence of strong European TEPL industry capable of
competing on a level field with North American and Asian competitors
Vision statement analysis (supporting factors)
This vision focuses on market take up of technology enhanced professional learning,
both on the demand side (customer) and on the supply side (provider, investor): give
the ability to provide and purchase content and learning services regardless of their
type and of the location of the learning supplier in a unified transparent market.
1) In order to support the customer to make an enlightened choice, he needs market
transparency. In this vision statement we are defining transparency as:
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-
A sound understanding of each individual product/service offer, with its
strengths, limitations and price/benefit ratio
The ability to seamlessly move up and down, along the range of professional
TEPL offers, as he changes his expected price/benefit ratio
The ability to compare the purchase of these offers with the purchase of other
professional services,
The ability to compare the purchase of these offers with the purchase of other
(i.e, non-professional, such as entertainment and leisure) services
The ability to immediately finalize his purchase through different distribution
channels when his decision is made.
2) The emphasis on the “consumer driven market” dimension requires that :
- The pedagogical needs can be defined by the user on his own, by his company,
or with any type of professional advice he chooses to involve
- The user can choose
o the time and location
o the type of service (depth, length, …)
o the price/benefit ratio which addresses a specific need at a specific
time
o the way he buys the product/service
On-line market places / open exchanges, through aggregation
of the various knowledge suppliers
Passive broker : browse, evaluate, select
Active broker : matching service
Traditional trusted partners
Industry sector specific : professional unions
Generic : Chambers of Commerce and Industry
- The user can arbitrate between TEPL and other forms of professional
learning/training
- The user can have different purchasing approaches depending on the context.
3) On the supply side, there is a need to increase the range of offers by:
- Going up-market : offer competency mapping, social networks, collaboration
technologies, develop professional learning scenarios and business models
through continued interaction with the research community for development of
new research topics (e.g. informal learning at the workplace)
- Going down-market : offer more basic, lower cost offerings and make purchasing
professional e-learning as easy as purchasing an on-line airline ticket
- Making the launch of new TEPL products and services quicker and more costeffective
- Providing conceptual, economic or legal frameworks or scenarios for managing
partnerships for learning resources creation, sharing and distribution
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3.5.2 SWO Analysis
(BE=Business Economics, T=Technical, SC=Socio Cultural, P=Political)
ID Vision Statement 5 (Industry challenge): Focus Large Corporations
Strength: What we have today and we do need
S1 Market transparency
BE
S2 Business model : consultancy and joint research
BE
Business units in large corporations have an awareness of the needs and
S3
BE
are implementing
S4 Technology platforms
T
S5 Pedagogical frameworks
BE
SC
Weakness: What we have today and we do not need
Personalization of TEL is a problem for everybody - including large
W1 corporations. "Strategic management" wants it - as a part of their overall
BE
wish to make the workplace learning more embedded and ubiquitous.
Some Human Resource departments are often actively fighting TEL - and
especially competency management technology that allows employees to
W2
BE
manage their own competency - since they conceive this as "an invasion"
of their traditional domains of power.
Opportunity: What we do not have today and we need
O1 Business scenarios for integrating informal learning at the workplace
Greater business awareness at the corporate level for strategic
O2
implementation across business units
O3 Improved alignment of learning/training with core business processes
BE
BE SC
BE
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ID Vision Statement 5 (Industry challenge): Focus SMEs
Strength: What we have today and we do need
Weakness: What we have today and we do not need
W1 High-end, but expensive technology platforms
BE
High-end HR and pedagogical frameworks that require a strong HR
W2
BE
infrastructure
CRM industry trend whereby the offer goes upmarket and shuts out existing
W3
BE
entry-level customers from the market
Opportunity: What we do not have today and we need
O1 Lack of a strong professional training culture in some countries
Entry-level, low cost offers that will be used by the majority of SMEs as their
O2 standard learning/training service and by a few, more enlightened ones, as a BE
starting point to move along the maturity curve
Support services (coaching) to enable some enlightened SMEs to move
BE
O3
along the maturity curve
Range of offers:
BE
- With different combination of product/services
O4 - Allowing the customers to move along the price/benefit curve of offers
T
Wider access to a wider range of offers from a greater number of competing BE
T
providers
Wider access to a wider range of offers through distribution channels which
O6
BE T
enable simple/quick comparison and purchase
Wider access to a wider range of offers, through distribution channels which
O7 involve existing trusted partners (Chambers of Commerce, professional
unions)
SC
SC P
O5
SC P
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ID Vision Statement 5 (Industry challenge): Focus Individuals
Strength: What we have today and we do need
S1 Awareness of the need for life-long learning/training
S2 Affordable infrastructure for access
BE T
BE T
Weakness: What we have today and we do not need
W1 High-end, but expensive technology platforms
High-end HR and pedagogical frameworks that require a strong
W2
organizational infrastructure
T
BE
SC
Opportunity: What we do not have today and we need
O1
O2
O3
O4
O5
O6
O7
O8
Life-long training culture that effectively translates into acquisition of
products/services
Affordable offers which enable customers to easily choose between different
professional training/learning services
Affordable offers which enable customers to easily choose between between
purchasing professional training/learning products/services and other
products/services
Range of offers with different combination of product/services
Range of offers allowing the customers to move along the price/benefit curve
of offers
Range of offers from a greater number of providers, attracted by a critical
mass in market volume
Range of offers from a greater number of providers, supported by investors
who find a return on capital at least as satisfactory as in other sectors and
risk as low
Wider access to range of offers from a greater number of providers, through
distribution channels which enable quick and simple purchase
BE
BE
BE
BE
BE
BE
BE
BE T
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The overall view integrates both the global market approach as well as the
aggregation of the differing approaches across these three market segments, with
weaknesses in a given segment being a strength in another one and the need for
simultaneous implementation.
ID Vision Statement 5 (Industry challenge): Focus Aggregated
Strength: What we have today and we do need
S1 Limited market transparency
S2 High-end technology platforms
Increasingly accepted open standards in addition to commercial
S3
standards
S4 High-end pedagogical frameworks
BE T
T
BE T
SC
Weakness: What we have today and we do not need
W1 Customers shut out from the market through evolution on the supply side BE
Opportunity: What we do not have today and we need
A better offer to enable the customer to make enlightened purchasing
O1 decisions – market transparency, wider in range by extending both up
market and down-market
A better offer to enable the customer to make enlightened purchasing
O2 decisions - market transparency, wider in range in terms of possible
product mix
A better offer to enable the customer to make enlightened purchasing
O3 decisions - market transparency, with an easily understood and
adjustable price/benefit ratio
A better offer to enable the customer to make enlightened purchasing
O4 decisions- market transparency, enabling the customer to move along
the price/benefit ratio curve
A better offer to enable the customer to make enlightened purchasing
O5 decisions -market transparency, coming from a greater range of
providers
A better offer to enable the customer to make enlightened purchasing
O6 decisions- market transparency, available through different, competing
distribution channels, including passive or active brokers/marketplaces
A better offer to enable the customer to make enlightened purchasing
O7
decisions- more cost effective: Through improved production processes
A better offer to enable the customer to make enlightened purchasing
decisions- more cost effective: Through more rational price setting
O8
practices by providers : spread the ROI across a greater number of
customers
Greatly increased adoption of professional training culture in SMEs
O9 before going into the specifics of technology enhanced professional
training/learning
Greatly increased adoption of professional training/learning outside
O10
companies in the perspective of life-long training
BE
BE
BE
BE
BE
BE
T
BE
T
BE
BE
SC
SC
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O11 KISS : please keep it simple
O12 On-line open exchanges and market places
BE T
Widespread adoption of Web 2.0 collaborative applications for content
O13
T
authoring and sharing
Increased interactivity, through entertainment industry quality, standards,
O14
T
simulations and immersive technologies
O15 Rapid and cost effective design
T
Standards : shifting balance between open-source and commercial
O16
T
standards
Coherent IPR framework for content production and distribution across
O17 Europe going into operational details, beyond the EUCD and other
directives
Increased competitive advantage of technology-enhanced professional
O18
BE
training vs other forms of professional training
Increased competitive advantage of technology-enhanced professional
training/learning as an industry sector where investors can earn a
O21
BE
satisfactory level of return on capital when compared with other industry
sectors (ex: European entertainment industry)
SC
P
P
P
3.5.3 Assumptions – Preconditions
Assumptions:
-
Users, both staff in SMEs and large corporations as well as individuals, have
an increasing need for for TEPL products and services, which translates into
increased market volume and market value.
-
Everyone, whether he is working in an organization, is self employed or is
unemployed, has become a knowledge worker.
-
TEPL market development does not depend on a single pedagogical
approach or organizational model.
Pre-conditions:
There are no strong pre-conditions. Nevertheless, failure in implementing VS1 and
VS6 would definitely mean that VS5 would be very difficult to achieve in two of the
three market segments: SMEs and individuals
3.5.4 Nature of the Gap
This vision statement largely complements vision statement 1 “Learning anything, at
any time, in any place” and vision statement 6 “Access to professional learning for
all”. Building on the view that everyone will be a knowledge worker, it extends the
consumer base to every individual, beyond the limits of existing companies and,
therefore, significantly increases the importance of market dynamics, making TEPL
similar to any other mature market, with offers targeted at a large range of different
market segments and purchasing contexts. The gaps therefore involve a large
number of deployment and implementation challenges, on the pedagogical, business
and social levels.
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In the business area, there is a strong need to bridge the digital divide that currently
separates SMEs from large corporations and successfully develop access for
individuals. IMC, with its Slidestar project, which addresses sharing of learning
content by all, introduces a significant shift from its traditional approach and exclusive
focus on the corporate LMS for large companies. If widely embraced by other
providers, this shift would definitely speed up adoption by individuals and lead to
substantially lower prices for SMEs for a wider ranges of services.
In the technical field, the challenges reside mostly on making available a greater
range of services accessible to all at any time and in any location, at a price level
acceptable to each market segment and at a cost which is sustainable by the
producer. Current research, at the same time, will provide the basis for launching and
extending the reach for high-end customized services, such as competency
management.
In the socio-cultural sphere, effective adoption of life-long learning has not
significantly taken off, yet, but is a strong challenge for European society as a whole
to maintain its influence in the globalization process.
In the political sphere, extending the reach of TEPL is key to maintaining and
improving Europe’s competitive edge for the entire economy as well as to developing
a European industry sector that can both compete with other global players and help
sustain highly skilled jobs in Europe.
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Gap analysis VS6
3.6.1 Description of Vision Statement 6
(Social inclusion): “Access to professional learning for all – extending the
knowledge based society”.
The vision statement is closely linked to social inclusion as it is perceived in the
context of knowledge based society. It embraces the various issues of eInclusion:
Access Divide, Usage Divide, and Divide stemming from the quality of use. It views
the different stages of Digital Divide through the dimensions of Access, eAccessibility
& Usability, Service Development, Individual Capacity Building, Human & Social
Capital, and Citizen Participation as well through the core Roadmaping sectors:
Business Economics,, Technical, Socio Cultural, and Political. The issues addressed
by vision statement 6 are somewhat similar those addressed by the first vision
statement, which is focusing on the individual knowledge worker, while unlike most
other visions, this vision statement focuses on societal issues. The focus and the
complexity of eInclusion make it impossible to isolate those components of
eInclusion that are inherently related to TEPL for the study. Moreover, the concept of
eInclusion has not been discussed in previous Prolearn deliverables, therefore the
chapter ‘vision statement analysis’ includes a lengthy introduction to concept of
eInclusion. The aim of the vision is to ensure that the current knowledge workers, the
potential knowledge workers, and the future knowledge workers are able be part of a
society that fulfills the criteria expressed by recent European policies and strategies
related to the knowledge based society and/or information society.
Goals:
1. To promote e-inclusion and equal opportunities for all
2. To provide the needed support for SMEs to ease the first steps in the
acquisition of professional leaning
3. To provide ubiquitous access to multiple channels to information and the
knowledge needed to filter, understand and use the information
Vision statement analysis (Supporting Factors)
The Context: Social exclusion, eInclusion, and the digital divide
Social exclusion is a social process built on social inequalities and leading to the
marginalisation of individuals and groups as regards shared societal goals.
Definitions often include e.g. living standards and income, integration in labour
market, educational opportunities. Social Inclusion is a strategy to combat social
exclusion, but it is not making reparations for past wrongs as in Affirmative Action. It
is the coordinated response to the complex system of problems that are known as
social exclusion. The term exclusion involves the concept of being deprived of the
economic and social capabilities and opportunities to participate in society. It implies
a meaning of dichotomy – being included or excluded – as does the term "divide". It
should be emphasized that in reality no such dichotomy exists but a continuous
structure in society with different existing but hard-to-define demarcations.
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The term eInclusion is a concept about the disparities in terms of citizens’
participation in the Information Society. It reflects the "e"-component in processes of
social integration. The eEurope Advisory Group has defined eInclusion as follows 1:
"e-Inclusion refers to the effective participation of individuals and communities
in all dimensions of the knowledge-based society and economy through their
access to ICT. … Further, e-Inclusion refers to the degree to which ICTs
contribute to equalising and promoting participation in society at all levels. …
The digital divide measures the gap between those who are empowered to
substantially participate in an information and knowledge-based society, and
those who are not."
Recently, emphasis in digital divide research has turned from mere access figures to
disparities in skills at using ICT and in benefits deriving from ICT (e.g. de Haan
2003). Evidence has been found, that while access and use equalises within and
between some countries, major gaps in skills and benefits remain. Slizard Molnar
has developed a model of successive stages of the digital divide. Molnar's model2
suggests that three broad types of digital divide can be identified, each associated
with different adoption stages of technology or diffusion of innovations. (i.e. Early
Adaptation, Take-off and Saturation).
readiness (including access)
use (intensity) of ICT
impact (such as derived benefits
and participation)
Number of users
(Take-up)
Take-off:
Early Adaptation:
Access Divide
Usage Divide
(Primary Digital Divide)
Difference between users
and non-users
(Early Digital Divide)
Difference between those
with and w/o a chance to
have access
Saturation:
Divide stemming from
the quality of use
(Secondary Digital Divide)
Shows the difference between
users and users
Time
Figure 12: Explanation Frame of the Digital Divide, Molnar (2003)
The diffusion of innovations usually follows an S-curve of adoption. In the early
adaptation phase, a minority of some early adopters take up the new technology.
Growth in user figures is rather low due to high prices, insecurity about functionality
and standards and poor diffusion of knowledge about the innovation. Once prices fall
and these insecurities vanish, take-off begins to gain velocity and the large majority
of early users and late users become involved. Once a saturation level is
approaching, only a small group of late adopters or laggards is still left uninvolved
and growth rates decline again.
Since diffusion and adoption are dependent on a range of social, cultural and
economic factors the model also suggests that the three main digital divide ‘modes’
will further reflect configurations of these variables, including gender, age,
1
Kaplan, Daniel (2005): eInclusion. New Challenges and Policy Recommendations.
2
Molnar, S (2003) “The Explanation Frame of the Digital Divide”, Proceedings of the Summer
School, “Risks and Challenges of the Network Society", 4-8 August 2003, Karlstad University,
Sweden
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 53
geographical location, income and ethnicity. The table below presents a set of
influental social, cultural and economic variables for the three modes of the digital
divide. Interestingly, the Molnar model does not make explicit reference to disability
as a key variable affecting access, usage and/or quality of use.
Variable
Access
Usage
Quality
Geography
X
Income
X
X
X
Education
X
X
Ethnicity
X
Gender
X
X
Age
X
X
X
Period of use
X
3
Table 2: Influence of social, cultural and economic variables on digital divide modes
Mapping of European eInclusion Initiatives
In their study “Status of eInclusion measurement, analysis and approaches for
improvement” Cullen, Hadjivassiliou and Junge mapped 160 eInclusion initiatives,
both trans-national and Member State. The review argued that the ‘quality of use’
dimension could be sub-divided into three distinctive types (citizen participation;
social capital and service development). However, the review concluded that the
detailed picture is more complex. As Molnar suggested, the three digital divide
‘stages’ in reality show considerable overlap. This conclusion was supported by the
mapping exercise. Furthermore the ‘multi-dimensionality’ of eInclusion approaches
seems to be more of a norm than an exception, and this undermines the commonly
held view that Member States can easily be positioned on a continuum – from
‘infrastructure’ through ‘usage’ to ‘quality’. The model proposed by Cullen,
Hadjivassiliou and Junge and used for the classification of eInclusion initiatives
comprises of the following six dimensions:
Access is about providing access and ensuring availability of broadband, access
and information infrastructure, all of which were prerequisites for e-Inclusion.
Availability of Internet, and of Internet access devices, Location of Internet
access, Connectivity speed, Availability of broadband, Broadband coverage &
uptake, Internet Costs; PIAP – public access to the Internet. A recent survey
carried out by Itech suggested that of those who had no access to the Internet in
1996, 40% expressed a wish to get connected. By 2004, this proportion had
diminished to only 20%. The issue of the access divide is likely to persist as new
technologies and advanced online services enter the market and raise new
questions of who has access and who has not. For example, in 2005, broadband
was available to about 60% of businesses and households in rural areas of the
EU-15, but to more than 90% in the urban areas, with the gap being even greater
in the New Member States 4.
eAccessibility & Usability (Accessibility, Design for All): refers to the degree at
which the mediating technologies employed enable the service’s addressees to
access the service in question. eAccessibility can be understood as a function of
a number of - not necessarily disability related - aspects including , e.g.,
findability (the ease with which the service can be located), affordability (the
3
J. Cullen, K. Hadjivassiliou, K. Junge, “Status of eInclusion measurement, analysis and
approaches for improvement – Topic Report 2: Review of initiatives undertaken outside EU
institutions” Tavistock Institute, August 2006
4
Bridging the Broadband Gap, COM (2006) 129 final, Brussels, 20.3.2006
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degree to which the addressees can afford the cost for accessing/using the
services in question), time independence (the extent to which the service is
accessible at any time when demand occurs) or platform independence (the
extent to which the service is accessible through various alternative
hardware/software systems). The actions promoting eAccessibility may include:
standards / guidelines, education / skills / technical assistance, awareness
raising, market encouragement, financial measures targeting costs / affordability,
consumer empowerment, monitoring and evaluation, digital rights management,
RTD and assistive technology services. 5
Service Development in particular with a view to providing relevant content
(eGovernment, eServices, public services): the issue of service development sits
in between the primary and secondary digital divide. Where measures are
primarily focused on service provision and improving the relevance of the
content, they fall within measures to address the usage divide. Where activities
go beyond information provision (and are moving towards greater interactivity)
they are measures aimed at addressing divides stemming from the quality of use.
One core features of ‘good practice’ approaches to service development is
ensuring multi-channel delivery as this ensures that people unable to use ICTs
will not be excluded from public services. Multi-platform delivery of services
includes e.g. the mobile phone and face-toface contact with service providers.
Individual Capacity Building (which can also include building human capital): In
consistency with the economic approaches to tackling social / digital exclusion
aim at ensuring that all members of society are able to participate in an
increasingly demanding labour market, in particularly the most vulnerable groups.
Translated into the digital exclusion field, this would encompass policies and
measures aimed at providing individuals, and in particular those groups
particularly at risk form exclusion, with ICT skills and also those measures that
link digital literacy with employment measures.
Human & Social Capital (Peer-to-Peer networking, Communities of Practice,
Social Software): promoting human and social capital in terms of supporting
different types of peer-networks as well as bottom-up approaches and learning
environments. eInclusion is in that way seen as addressing contextual settings,
socio-cultural issues and their balance. eInclusion is contributing to the
development of social capital, for example through the expansion of socialnetworking via Web 3.0 into community-based support networks.
Citizen Participation: eDemocracy or eGovernment activities and are still in an
exploratory phase. Projects or initiatives aiming at using ICTs to engage citizens
in democratic processes are still relatively rare; eVoting is probably the furthest
advanced. In addition, there is a distinct policy shift towards enhanced citizen
participation in terms of creating interesting content and enabling citizens to
participate in issues they are interested in as well as in interactions with policy
makers, government (central, regional, local), etc. eInclusion is considered to be
closely linked to issues of motivation and active empowerment. Citizen
participation in an eDemocracy, as well as the IS in general, requires a high
degree of motivation to engage in public life and with new technologies. However,
digital demotivation is an increasingly important issue in the EU.
5
“Analytic framework - eInclusion and eAccessibility priority issues” Deliverable 1.1. of the
project: “Strengthening eInclusion and eAccessibility across Europe” (IST-502553), October,
2004
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European Policy Perspective
Already in 2000, the Lisbon strategy included the objective to ensure that all citizens
are capable to live and work in an Information Society. eInclusion in this regard was
considered as one of the constituents and social dimensions of the development of
the knowledge based society, overall inclusion and cohesion policies. As a part of the
Lisbon strategy the eEurope action plan (2002 until 2005) contained a dedicated
eInclusion action line, which aimed at enhancing a “design for all” and “public Internet
access points”. Within eEurope 2005 the fields e-government, e-health and elearning as well as e-skills and digital literacy required to use ICT were accentuated.
The i2010 programme is characterised as the digital economy component of the
revised Lisbon strategy for growth and jobs. i2010 introduces “inclusion, better public
services and quality of life”. An Information Society that is inclusive provides high
quality public services and promotes quality of life. Emphasis is placed on digital
literacy as well as on public services.
In the Ministerial Riga Declaration on eInclusion a definition of what is to be
understood as eInclusion is given and the current policy challenges are described:
“eInclusion” means both inclusive ICT and the use of ICT to achieve wider inclusion
objectives. It focuses on participation of all individuals and communities in all aspects
of the information society. eInclusion policy, therefore, aims at reducing gaps in ICT
usage and promoting the use of ICT to overcome exclusion, and improve economic
performance, employment opportunities, quality of life, social participation and
cohesion6.
The project “Benchmarking in a Policy Perspective” was started by the European
Commission in January 2006 with the aim to carry out an in-depth analysis of the
results of the annual Information Society Surveys of households and enterprises and
to relate them to a number of specific themes. The project published a report 7 on
eInclusion in December 2006. The report presents the following conclusions drawn
for measurement of eInclusion in citizen surveys:
Policy concentrates on at-risk groups to prevent that disadvantaged people and
disadvantaged groups are left behind in the information society. A key factor is to
enable all citizens to keep up with technological developments that affect their
daily life and their employment prospects
Disadvantages can be related to differentials in access, bandwidth, skills and
digital media literacy, service usage and quality of usage of new services
and information and communication technologies
Disadvantages also entail regional disparities in ICT access across the EU.
Policy aims to enhance the availability of access, especially broadband access in
under-served locations in order to bridge the broadband gap.
6
Riga Ministerial Declaration in June 2006.
http://europa.eu.int/information_society/events/ict_riga_2006/doc/declaration_riga.pdf
(accessed in July 2006) and
http://europa.eu.int/rapid/pressReleasesAction.do?reference=IP/06/769&format=HTML
7
empirica, “Benchmarking in a Policy Perspective – Report No. 5: eInclusion”, Gesellschaft
für Kommunikations- und Technologieforschung mbH, December 2006,
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National eInclusion Policies
The above mentioned study 8 “Status of eInclusion measurement, analysis and
approaches for improvement”, that had mapped 160 eInclusion initiatives concluded
in a set of key trends in policies, as well as listed opportunities, technologies and
challenges. Those are quoted below.
The key trends in national eInclusion policies:
A progressive shift from an initial focus on infrastructure/access issues to the
promotion of eSkills to accessibility issues to the development of online services
and applications to greater focus on digital content to increased emphasis on eparticipation, e-Democracy and active citizenship;
the aim to provide equal access for all to broadband digital networks;
support for the development of an inclusive IS, in that specific measures are
being targeted at specific at-risk groups;
ICTs seen as key to individual capacity building, human and social capital
creation and enhanced citizen participation and engagement;
ICTs seen a key to economic and industrial local development;
Balanced regional planning in terms of broadband and related services
availability
“Opening” of rural and less developed regions to the world through ICTs
Search for exemplary solutions and for business model that can meet both public
and private needs, e.g. through the promotion of public private partnerships
(PPPs)
Community and Voluntary Sector increasingly seen as key in reaching at-risk
groups
Increased diversification of the target groups in terms of developing
solutions/approaches that are relevant to specific user requirements.
Taking appropriate regulatory measures, e.g. ensuring that access costs are low
The need for a multi-channel and in some case mediated access of services,
including face-to-face contact with service providers is acknowledged
Provision of financial incentives, e.g. cash bonuses, loans at privileged rates, etc.
for the purchase of ICT equipment
Emphasis on improving home access to ICT as a way of promoting intergenerational ICT-related learning.
8
J. Cullen, K. Hadjivassiliou, K. Junge, “Status of eInclusion measurement, analysis and
approaches for improvement – Topic Report 4: Recommendations for future action”,
Tavistock Institute, February 2007
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The opportunities for promoting an inclusive knowledge society8:
Providing greater access to more consumers for a wider diversity of consumer
products, services and choices
Supporting a more effective role for consumers in the development of new
products and services, and greater control over quality, utility and relevance
Providing opportunities for the harnessing and utilization of the creative potential
of people in the innovation process, and creating conditions for wider and more
effective entrepreneurship
Supporting and encouraging individual self-determination, self-expression and
more effective social interaction, through social networking
Contributing to the development of social capital, for example through the
expansion of social-networking via Web 3.0 into community-based support
networks
Increasing participation in decision-making, and thereby supporting increased
motivation to participate in democratic processes and a more ‘participative
culture’
Supporting participative culture through the expansion of e-government
infrastructure
Reinforcing and enhancing democratic structures, for example through providing
more open scrutiny and critical review of government agencies and actions
Contributing to improving the knowledge base, and the skills base, by promoting
knowledge creation, knowledge sharing and acquisition of new skills, through
both formal and non-formal learning
Technologies to promote inclusion8:
The major development is likely to be a movement away from targeting ‘special
needs’ groups and scenarios, and developing customized services, to a more
generic focus on ‘customisation and flexibility’.
Infrastructure and tools that promote flexible computer interactions
Natural language and speech recognition
Built-in seamless customization that follows a computer user wherever he or she
goes
The possibilities for an improved user experience for assistive technology
Key challenges for eInclusion8:
The main challenges posed by these developments are likely to focus on:
Increasing polarization of e-included and e-excluded, linked to factors such as
real and opportunity cost
Cultural and social fragmentation
Surveillance and control
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3.6.2 SWO Analysis
(BE=Business Economics, T=Technical, SC=Socio Cultural, P=Political)
Strength: What we have today and we do need
ID
Vision Statement 1 (IST challenge)
S1
S2
S3
S4
S5
S6
S7
S8
S9
S10
S11
S12
S13
emphasis on the importance of individuals own initiative in LL
rapidly evolving Web2.0 applications contribute to the
increasing availability of meaningful information resources
social networking and community tools (Web2.0) to support
inter-organisational learning of SMEs
various national and European initiatives have existed for
decades for SME support
affordable equipment and access to networks; good
infrastructure in most areas
promotion of digital literacy skills
alternative licensing schemes e.g. Creative Commons
rapidly incresing use of Web-based services
ongoing HR XML standardization work
digital portfolios
European Qualifications Framework (EQF)
Adult education models are under preparations at HEIs
Dynamic and semantic Web technologies; human centered
intelligent and dynamic systems
Weakn e s s: What w e have today and w e do not ne ed
ID
Vision Statement 6 (Social Inclusion)
W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
BE T
SC P
P
BE T
SC
T
SC P
T
BE T
T
T
P
SC
SC P
P
SC P
T
BE T
tools and support for individuals to manage their professional
learning
IMPATIENCY: increased reluctancy to work for learning
Learning service providers focus predominantly on non-formal
BE
learning only
training and professional learning is considered as an expense
instead of as an investment to productivity
majority of the SMEs are operating in local level and view their
peers are competitors, while the most important competition
often comes outside of Europe
various national and European initiatives for SME support are
poorly coordinated and overlapping, making use of resources
spent ineffective
several regions in Europe still lack access to broadband
T
the difference between those who have and those who do not
have is increasing (access to equipment, networks and
services)
national associations of professionals have protectionistic policies
and attitudes that hinder the mobility of European professionals
Proprietary training patterns are still more effective than open
BE
source
SC P
SC P
SC
SC
SC P
SC P
SC P
SC
SC
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Opportunity: What we do not have today and we need
ID
O1
O2
O3
O4
O5
O6
O7
O8
O9
O10
O11
O12
O13
O14
O14
O15
O16
O17
O18
O19
Vision Statement 6 (Social Inclusion)
Learning to learn skills are the key to successful lifelong
learning
innovative approaches for promoting the desired informal
learning
business models for Web2.0 services
TEPL related Web2.0 applications/services
public private partnerships for the promotion of open content
services for supporting peer-learning in a large scale – the
successful existing social software applications focus on other
areas
support (and tools) for SMEs in prioritation of actions
affordable Web-based services (CRM, Competency
Management)
technology solutions for anonymisation of sensitive
(personal/business) data
change of attitudes and policy incentives encouraging SMEs to
federate locally and sectoral in order to form communities for
learning, knowledge creation (bench-learning)
strong promotion of digital literacy skills addressing all age groups
policy incentives for initiatives that would offer access to TEPL for
disadvantage groups
brokerage services for TEPL
standardised competency descriptor systems Skills, Knowledge
and performance
ontology based models for flexible competency frameworks that
would enhance the portability of competency descriptions and
make them interchangeable between various systems
digital portfolios
reputation management of accreditation bodies
EQF linked to the national frameworks, national frameworks;
framework for knowledge work
ECTS model extended for professional learning defining the levels
of certificate, diploma and masters programmes in adult
education; accreditation structures for learning achievements
through informal learning for knowledge work.
learner centered adaptive environments; and learning-oriented
rule based expert systems
BE T
SC P
SC P
BE
BE T
SC
P
BE
BE
P
BE T
BE T
SC P
P
P
BE
BE
T
BE T
SC
SC P
SC P
SC P
T
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3.6.1 Assumptions – Preconditions
Assumptions
The SWO analysis focuses on eInclusion issues that are mostly related to concrete
TEPL issues. Therefore the assumption for the realization of the overall goal of the
vision requires that the main challenges, as identified previously, do not produce
major obstacles for sustainable Knowledge Based Society development:
Increasing polarization of e-included and e-excluded, linked to factors such as
real and opportunity cost
Cultural and social fragmentation
Surveillance and control
The approach also assumes that lifelong learning will maintain its priority on political
agenda, and learning as such will continue to be considered an activity that
contributes to personal fulfillment as well better competitiveness. In addition many of
the currently prevailing trends affecting TEPL today will continue:
shortening the value-chain
increased affordability of personalisation
increased individualisation
shortening response time of the system
the rapid development and increase in popularity of peer to peer and many-tomany applications will continue
success means different things to different people
Preconditions
The SWO analysis focuses on eInclusion issues that are mostly related to concrete
TEPL issues. Therefore the precondition for the realisation of the overall goal of the
vision requires that the desirable opportunities for enhancing eInclusion in the
Knowledge Society as a whole, as listed previously, are being realised:
Providing greater access to more consumers for a wider diversity of consumer
products, services and choices
Supporting a more effective role for consumers in the development of new
products and services, and greater control over quality, utility and relevance
Providing opportunities for the harnessing and utilization of the creative potential
of people in the innovation process, and creating conditions for wider and more
effective entrepreneurship
Supporting and encouraging individual self-determination, self-expression and
more effective social interaction, through social networking
Contributing to the development of social capital, for example through the
expansion of social-networking via Web 3.0 into community-based support
networks
Increasing participation in decision-making, and thereby supporting increased
motivation to participate in democratic processes and a more ‘participative
culture’
Supporting participative culture through the expansion of e-government
infrastructure
Reinforcing and enhancing democratic structures, for example through providing
more open scrutiny and critical review of government agencies and actions
Contributing to improving the knowledge base, and the skills base, by promoting
knowledge creation, knowledge sharing and acquisition of new skills, through
both formal and non-formal learning
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3.6.4 Nature of the Gap
In the business area The strengths and several opportunities are relying on the
development of Social Web applications and the potential that they posess especially
for hosting communities of practice type of collaborative knowledge creation and
sharing entities. The development of IT and Web-based services is expected to
enable application service provision of services that today are common only within
proprietary corporate systems. The main weaknesses relate to the old fashioned
view of training as an expense and as an activity that is only weakly linked to the
actula business processes. Such attitudes may prove difficult to overcome, yet they
are obstacles on the way towards exploiting the potential of TEPL in full.
The technical field will have to cater the needs and expectations arising from the
business and most of all the users with increasing demands and expectations for the
Web-based services. The main challenges in standardisation will be in the area of
competency, skills, and knowledge. Mobile devices and convergence will make
mobile work possible for majority of knowledge workers. This will further blur the line
between work wnd leisure. Access to broadband will become commonly available,
even in the new member states and rural areas.
From the Socio-cultural perspectives the good news for the knowledge worker will
come in the form of systems that recognise learning achievements resulting from
informal learning, as well as non-formal and formal. The achievements and
competences will be documented in his e-portfolio in format that can easily be
understood by potential employers/clients/peers/etc, thanks to standardised
representation. Majority of young professionals will not have the luxury of long term
employment contracts. They will work on short term project assignments and they
may have more than one employer/client at one time. So called portfolio workers will
need career councelling, mentoring, and networks for other types of peer-support.
Unfortunately those services do not develop at the pace of the demand.
In the political sphere the challenge will continue to come from the rapid changes
resulting from the evolution of ICT application and digitalisation of everything. How
maintain sustainable eInclusion, social inclusion, eAccess etc. development and
competitiveness of the Europe. In the education and training arena legislation and
regulatory frameworks are needed for the protection of privacy, harmonisation of
qualifications frameworks and systems for recognising the learning achievemnts
resulting from informal learning.
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 63
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Annex 1
Cap analysis Templates
VISION 1 (template A)
SF1
Short description
(support factor 1)
What we have S1
today and need for
the future
S2
Strengths
…
What we have W1
today and we don’t
W2
need for the future
weaknesses
W3
What we don’t have OP1
today and we need
for
the
future OP2
opportunities
OP3
Evaluation
B/E T
SC
P
x
….
x
x
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Gap Analysis Framework and refined Conceptual Models V2.0, Page 68
VISION 1 (template B)
SF1
Short description
(Vision 1)
Identify
GAP (GAP 1)
according to the
analysis in template
(A)
B/E T
Assumptions
SC
P
x
Preconditions
x
Identify
GAP (GAP 2)
according to the
analysis in template
(A)
Assumptions
Preconditions
x
x
68