Prepublication
copy: at school and in higher education in Africa
Self-directed learning
Olivier, J. 2021. Online access and resources for open self-directed learning in Africa. In Burgos, D. &
Olivier, J., eds. 2021. Radical Solutions for Education in Africa: Open education and self-directed
learning in the continent. Singapore: Springer. pp. 1-16.
https://doi.org/10.1007/978-981-16-4099-5_2
Chapter 2
Self-Directed Learning at School and in Higher Education in Africa
Jako Olivier
Research Unit Self-Directed Learning, Faculty of Education, North-West University, Private Bag X2046, Mmabatho
2735, South Africa
e-mail: jako.olivier@nwu.ac.za
Antoinette Wentworth
Centre for Open and Lifelong Learning at the Namibia University of Science and Technology, Private Bag 1338,
Windhoek, Namibia
e-mail: awentworth@nust.na
Abstract:
The changing educational context and dynamic needs around increasing online learning at all education levels
highlight the importance of self-directed learning. In this regard, self-directed learning, which involves both a process
and student characteristic, relates to the students taking charge of their learning in terms of setting aims, choosing
material or human resources, choosing appropriate learning strategies and evaluating their learning.
This chapter involves a systematic literature review that explores research on self-directed learning at school and
higher education within the African context. This concept, despite the origins of the scholarship of self-directed
learning being from the Global North and the West, is more expansive and, this chapter specifically aims to give an
overview of the current discourses around self-directed learning in Africa.
This chapter critically examined key literature regarding self-directed learning in this milieu and inductively
identified general trends. Despite self-directed learning’s focus on the individual, it seems to be a very appropriate
learning process towards communal learning utilising cooperative learning strategies that support self-directed
learning.
Finally, the chapter provides a synthesis of the main trends around self-directed learning in Africa while identifying
certain areas for future research.
Keywords:
Africa, self-directed learning, university, higher education, schools, systematic literature review
17
Self-directed learning at school and in higher education in Africa
1.
INTRODUCTION
This chapter explores the nature of self-directed learning (SDL) research within the African continent
within the past 20 years (1990-2020). To this end, the researchers conducted a systematic literature review
of relevant journal articles and book chapters found in selected databases.
The concept of SDL is understood in this chapter in terms of the classical definition by Malcolm
Knowles. According to Knowles (1975, p. 18), SDL is “a process in which individuals take the initiative,
with or without the help of others, in diagnosing their learning needs, formulating learning goals, identifying
human and material resources for learning, choosing and implementing appropriate learning strategies and
evaluating learning outcomes”. Furthermore, SDL is conceptualised as being both a student characteristic
and process.
The following research question served as the impetus for this research: what is the nature of SDL
research on the African continent between 1990 and 2020?
In the next section, SDL is further unpacked, after which the methodology and findings of the
systematic literature review are presented.
2.
SELF-DIRECTED LEARNING (SDL)
2.1 Background
The origins of research on SDL can be traced to research on andragogy or adult learning in the 1960s and
1970s (Brockett & Hiemstra, 2019; Knowles 1975). However, the phenomenon has been relevant in
learning contexts for ages, and different terms have been used to describe it (Brockett & Hiemstra, 2019).
More recently, SDL has been researched wider with a focus not only on andragogy anymore but
also with research being done at school level (Van Deur, 2017). In addition, despite an initial focus of SDL
research within the Global North, this topic has since been explored by researchers on the African continent
as well. In this regard, this research will aim to provide a snapshot of the research done regarding SDL in
this milieu.
In terms of learning theories, SDL is closely aligned with constructivism, especially in terms of
related social-cultural models (Van Deur, 2017). In this context, active inquiry and independence are highly
relevant.
Despite the close association and interchangeable use between SDL and self-regulated learning
(SRL) in some contexts, these concepts are not the same (Garrison, 1997; Robinson & Persky, 2020; Van
Deur, 2017). Therefore, it is considered that SRL relates more to internal influences of students versus
SDL’s focus on both internal and external influences (Van Deur, 2017).
The research in this chapter considers what has been done on and related to SDL in Africa. This
research ties in with a very strong focus on SDL within educational research on the continent. In this regard,
18
Self-directed learning at school and in higher education in Africa
the notable key publications from authors from the North-West University in South Africa, show how the
exponential growth of scholarship on SDL in this context (cf. De Beer, 2019a; De Beer, Petersen & Van
Vuuren, 2020; Mentz & Bailey, 2020; Mentz, De Beer & Bailey, 2019; Mentz & Oosthuizen, 2016; Olivier,
2020).
2.2 Implementation of SDL
Researchers have proposed many different models in terms of describing and operationalising SDL (Bosch,
Mentz & Goede, 2019). Garrison (1997) proposed a model for SDL in which the self-management
(contextual control), self-monitoring (cognitive responsibility), and motivational (entering and task)
dimensions are integrated.
Furthermore, Robinson and Persky (2020:293) identified six steps to develop SDL among students:
●
●
●
●
●
●
developing goals for study;
outlining assessment with respect to how the learner will know when they achieve those goals;
identify the structure and sequence of activities;
layout a timeline to complete activities;
identify resources to achieve each goal; and
locate a mentor/faculty member to provide feedback on the plan.
Moreover, specific strategies have also been proven to support SDL, and this includes active learning,
cooperative learning, problem-based learning and process-oriented learning (Bosch et al., 2019). Therefore,
strategies such as these were considered in the analysis of the identified sources in the corpus.
3.
RESEARCH DESIGN AND METHODOLOGY
This chapter takes the form of a systematic review. Review research aims to evaluate sets of research
adhering to specific inclusion criteria to provide an overall impression of a set topic. Review research can
be presented as narrative or systematic reviews (Gülpınar & Güçlü 2013). As for this chapter, the need was
to provide a comprehensive and detailed review to generate an empirical, robust answer to the research
question (Mallett, Hagen-Zanker, Slater, & Duvendack, 2012). Hence, we conducted a systematic review.
For the purposes of this chapter, both quantitative and qualitative data was generated. However,
the main focus was on qualitative data as the aim was to determine the nature of SDL research that has been
conducted within the context of the African continent.
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Self-directed learning at school and in higher education in Africa
3.1 Data collection and inclusion criteria
The first step in the data collection was to determine the relevant inclusion criteria to obtain data sources
relevant to the identified topic. To this end, the following elements made up the inclusion criteria:
●
●
●
the sources had to be published between 1990 and 2020;
the focus of the sources had to be on an African country or countries; and
SDL should be central to the research.
Therefore, the date limit was used as parameters for the literature search. In contrast “SDL”, “Africa” and
the names of the 54 African states recognised by the United Nations and the African Union, were used as
keywords.
The data searches were conducted by searching for these keywords in the Sabinet African Journals
database as well as Academic Search Complete and the Education Resource Information Center (ERIC)
accessed through EBSCOhost. The first phase of searching resulted in 566 publications adhering to the
criteria. However, after preliminary screening, these sources were reduced to 74 journal articles and
chapters. From the analysis, any irrelevant publications – where SDL was only mentioned in a cursory
manner or which did not adhere to the requirement of being an African publication - were eliminated.
Consequently, the final corpus consisted of 54 publications.
The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) study flow
diagram (Čablová, Pates, Miovský & Noel, 2017) in Figure 2 illustrates the process followed for this
research.
3.2
Data analysis
The data analysis was approached with a combination of inductive and deductive approaches as
certain aspects related to SDL were explicitly looked for in terms of the publications’ aims, geographical
location and discipline. However, as the analysis commenced, other foci were added, such as the nature of
the sample, sample level, thematic focus, discipline and main findings.
The researchers used a Google Sheets document to systematise the findings and allow for interevaluator checks to ensure the trustworthiness of the analysis as well as the accuracy in which the research
was conducted as reflected in the correctness of the research findings (Jane & Jane 2003:273), of the
analysis.
20
Self-directed learning at school and in higher education in Africa
Figure 2. PRISMA study flow diagram for this study
Records identified through the database search
(n = 566)
Records after duplicates removed
(n = 564)
Records screened
(n = 74)
Records excluded
(n = 490)
Full-text articles assessed for eligibility
(n =54)
4.
DISCUSSION
4.1 Geographical and publication date spread
From the analysis, it was evident that most of the SDL research in Africa is based or focused on South
Africa. However, there were some exceptions, such as Ethiopia (Shishigu, Michael & Atnafu, 2019), Ghana
(Aheto, Ng’ambi & Cronjé, 2017), Namibia (Iiyambo & Geduld, 2019) and Nigeria (Abubakar & Arshad,
2015; Fakolade & Adeniyi, 2010; Mbagwu, Chukwuedo & Ogbuanya, 2020; Nottidge & Louw, 2017; Ottu,
2017).
The majority of the publications in this corpus was published between 2014 and 2020. It seems that
there is a steady growth in publications, as is evident from Figure 2. The low number for 2020 could be
because data was collected only up to October 2020. The next section deals with the disciplines in which
the SDL research was conducted.
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Self-directed learning at school and in higher education in Africa
Figure 2. Publication date spread
4.2 Disciplines
The majority of research done on SDL in this corpus was situated within the educational context. However,
there were also sources focusing on SDL within the workplace (De Bruin & De Bruin, 2011; De Klerk &
Fourie, 2017; Van Rensburg & Botma, 2015; Visser, 2018; Wittmann & Olivier, 2019).
The broad disciplines covered in the corpus are summarised in Table 1. In some cases, the
publications met the criteria to fall into more than one discipline and were then repeated in the table.
Table 1. Disciplines represented in the corpus
Disciplines
Subdisciplines
Sources
Arts and humanities
General
De Bruin and Cornelius (2011)
Languages
Sujee, Engelbrecht and Nagel (2015)
Communication science
Terblanché (2010)
Accounting
Stegmann and Malan (2016)
Business
Aheto et al. (2017)
Economic and management
sciences
22
Self-directed learning at school and in higher education in Africa
General education
Teacher education
Health sciences
Fakolade and Adeniyi (2010)
Iiyambo and Geduld (2019)
Jacobs and Van
Loggerenberg(1996)
Shishigu et al. (2019)
General
Du Toit-Brits (2018a, 2018b, 2019)
Du Toit-Brits & Blignaut, 2019
Du Toit-Brits and Van Zyl (2017)
Greyling, Geyser and Fourie (2002)
Mthethwa (2018)
Setlhodi (2019)
Chemistry
Abubakar and Arshad (2015)
Computer Applications
Technology
Breed and Bailey (2018)
Lubbe (2017)
Consumer studies
Du Toit, Van der Walt and Havenga
(2016)
Economics
Maistry (2009)
Van Wyk (2017)
Foundation phase
Kruger, Van Rensburg & De Witt
(2015)
Information Technology
Breed (2016)
Language
Olivier (2016)
Olivier (2018)
Vos and Van Oort (2018)
Life Sciences
Petersen (2018)
Life and Natural Sciences
De Beer (2016)
De Beer and Mentz (2017)
Mathematics
Van der Walt (2014)
Mathematics and Physical
Science
Malan, Ndlovu and Engelbrecht
(2014)
Clinical medical practice
Hugo et al. (2012)
Medicine
Nottidge and Louw (2017)
23
Self-directed learning at school and in higher education in Africa
Information Sciences
Nursing
Lekalakala-Mokgele and Caka
(2015)
Mulube and Jooste (2014)
Orton and Nokes (2012)
Van Rensburg and Botma (2015)
Physiotherapy
Statham, Inglis-Jassiem and
Hanekom (2014)
cataloguing
De Klerk and Fourie (2017)
Law
Natural Sciences
Lumina (2005)
Consumer Sciences
Havenga and De Beer (2016)
No specific discipline
De Bruin, De Bruin, Jacobs &
Schoeman (2001)
De Bruin (2007)
Vocational training
Mbagwu et al. (2020)
Workplace or professional
development
Professional cataloguers
De Klerk and Fourie (2017)
Teachers
Ajani (2019)
De Beer (2019b)
Wittmann and Olivier (2019)
Various contexts
De Bruin and De Bruin (2011)
Visser (2018)
A wide variety of disciplines were covered within the corpus. However, various fields within teacher
education as well as health sciences, were the most prominent. Furthermore, the research also probed the
thematic focus and aims present in the corpus.
4.3 Thematic focus and aims
In addition to the sources in the corpus relating to SDL, they had different thematic foci and aims. In Table
2, the discernible foci of the items from the corpus are summarised.
Table 2. Foci and aims represented in the corpus
Foci
Sources
Applied competence
Kruger et al. (2015)
Assessment
Aheto et al. (2017)
Lumina (2005)
24
Self-directed learning at school and in higher education in Africa
Stegmann and Malan (2016)
Terblanché (2010)
Van Wyk (2017)
Blended learning
Orton and Nokes (2012)
Cooperative learning
Breed (2016)
Breed and Bailey (2018)
Petersen (2018)
Computer-based tutoring
Mthethwa (2018)
Career decision-making
De Bruin and Cornelius (2011)
Developing SDL instruments
De Bruin et al. (2001)
Educators’ expectations
Du Toit-Brits (2019)
Facilitative and obstructive factors in the learning
environment
Lekalakala-Mokgele and Caka (2015)
Gifted students
Fakolade and Adeniyi (2010)
Indigenous knowledge and sciences
De Beer (2016)
De Beer and Mentz (2017)
Information literacy self-efficacy
Mbagwu et al. (2020)
Learner agility
Visser (2018)
Life-long learning
De Klerk and Fourie (2017)
Materials
Greyling et al. (2016)
Metacognition
Breed and Bailey (2018)
Van der Walt (2014)
Motivation
Du Toit-Brits and Van Zyl (2017)
Mulube and Jooste (2014)
Open Distance Learning
Aheto et al. (2017)
Greyling et al. (2016)
Iiyambo and Geduld (2019)
Maistry (2009)
Setlhodi (2019)
Shishigu et al. (2019)
Terblanché (2010)
Van Wyk (2017)
Pacing
Setlhodi (2019)
25
Self-directed learning at school and in higher education in Africa
Personality traits
De Bruin (2007)
Problem-based learning (PBL)
Abubakar and Arshad (2015)
Maistry (2009)
Malan et al. (2014)
Orton and Nokes (2012)
Statham et al. (2014)
Project-based learning
De Beer (2019b)
Du Toit et al. (2016)
Havenga and De Beer (2016)
SDL readiness
Lubbe (2017)
SDL status
Nottidge and Louw (2017)
Self-directed reading
Vos and Van Oort (2018)
Self-directed writing
Olivier (2016)
Sujee et al. (2015)
Self-study
Jacobs and Van Loggerenberg (1996)
SRL
Iiyambo and Geduld (2019)
Shishigu et al. (2019)
Student support
Van Rensburg and Botma (2015)
The majority of studies in the corpus approached SDL in terms of specific contexts or variables.
These variables are evident from the summary of foci and aims. Assessment as a focus and open distance
learning as a context was quite prominent and as expected strategies such as cooperative learning, PBL and
project-based learning were also represented.
4.4 Methodology and instruments
4.4.1 Research approaches and designs
This section provides an overview of the trends regarding the research approaches, whether quantitative,
qualitative or mixed method, as well as the various designs (Cohen, Manion & Morrison, 2018) employed
in the corpus.
Most of the research was empirical in nature; however, some exceptions were noted. One editorial
article was observed (Visser, 2018) focussing on agile learners in terms of SDL within the workforce
context. Furthermore, some conceptual articles were also identified (Ajani, 2019; Du Toit-Brits, 2015,
2018a, 2018b, 2020; Du Toit-Brits & Blignaut, 2019; Hugo et al., 2012; Olivier, 2018; Ottu, 2017;
Wittmann & Olivier, 2019). One source in the corpus also provided a new view on previously collected
empirical data (De Beer, 2016). In some cases, these conceptual works related to SDL in a generic sense
and not necessarily specifically on SDL in the African context. The identified research approaches and
designs from the corpus are summarised in Table 3.
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Self-directed learning at school and in higher education in Africa
Table 3. Research approaches and designs represented in the corpus
Research approaches
Research designs
Sources
Qualitative
Action research
De Beer (2019b)
Basic qualitative study
Aheto et al. (2017)
De Beer and Mentz (2017)
Du Toit-Brits (2019)
Iiyambo and Geduld (2019)
Jacobs and Van Loggerenberg (1996)
Kruger et al. (2015)
Lekalakala-Mokgele and Caka (2015)
Lumina (2005)
Sujee et al. (2015)
Bricolage
Setlhodi (2019)
Van Wyk (2017)
Case study
Du Toit et al. (2016)
Maistry (2009)
Malan et al. (2014)
Orton and Nokes (2012)
Terblanché (2010)
Design-based research
De Beer (2019b)
Explanatory design
Abubakar and Arshad (2015)
Instrumental case study
Du Toit-Brits and Van Zyl (2017)
Van Rensburg and Botma (2015)
Text analysis
Vos and Van Oort (2018)
Cross-sectional survey
De Bruin and Cornelius (2011)
Exploratory descriptive
design
Mulube and Jooste (2014)
Quasi-experimental
Fakolade and Adeniyi (2010)
Mbagwu et al. (2020)
Shishigu et al. (2019)
Quantitative
27
Self-directed learning at school and in higher education in Africa
Mixed method
Survey
De Bruin et al. (2001)
De Bruin (2007)
Van der Walt (2014)
Nonexperimental
psychometric study
De Bruin and De Bruin (2011)
Within-participants
design
Lubbe (2017)
Concurrent
triangulation approach
Stegmann and Malan (2016)
One-group pre-test
post-test experiment
Basic qualitative
approach
Breed (2016)
Breed and Bailey (2018)
Survey
De Klerk and Fourie (2017)
Petersen (2018)
Survey
Document analysis
Greyling et al. (2016)
Survey, test and project
content
Havenga and De Beer (2016)
Survey
Basic qualitative
approach
Mthethwa (2018)
Nottidge and Louw (2017)
Olivier (2016)
Theory-based
evaluation
Statham et al. (2014)
Most of the research done on SDL in Africa, within this corpus, was qualitative in nature, this was followed
by mixed-method research and then quantitative studies. Despite, a good spread, there seems to be a need
for more quantitative work being done in this field.
In Table 3, the research designs were listed as they were named in the sources themselves.
Alternatively, it was described in terms of what was done; hence, not all descriptions relate necessarily to
a recognised research design. A trend was observed that in some studies the third-generation culturalhistorical activity theory (Engeström, 1987) is used as an analytic lens (De Beer, 2016; De Beer & Mentz,
2017; Petersen, 2018).
28
Self-directed learning at school and in higher education in Africa
4.4.2 Sampling and level
Although not all the published research in the corpus related to research participants, this section provides
an overview of the nature of the different samples used in cases where participants were involved. In Table
4, an overview is provided of the type of samples involved in SDL research within this corpus.
Table 4. Overview of the samples
Sample types
Level
College tutors
Number of
participants
Sources
6
Iiyambo and Geduld (2019)
Indigenous
knowledge
holders
Various
individuals aged
between 9 and
66
16
De Beer and Mentz (2017)
Nurse educators
Professional
9
Van Rensburg and Botma (2015)
Pupil enrolled
nurses
Second years
19
Lekalakala-Mokgele and Caka (2015)
School/college
learners
Grade 10
15
Iiyambo and Geduld (2019)
Grade 11
19
Sujee et al. (2015)
No grade
indicated
15
Abubakar and Arshad (2015)
Various grades
75
Fakolade and Adeniyi (2010)
18 (portfolios)
5 (interviews)
De Beer (2019b)
1
Abubakar and Arshad (2015)
Preparatory
bridging
programme
35
Malan et al. (2014)
Final year
40
Nottidge and Louw (2017)
First year
10
Breed (2016)
First year
267
De Bruin and Cornelius (2011)
First year1
1 585
De Bruin et al. (2001)
De Bruin (2007)
First year
12
Du Toit-Brits (2019)
School teachers
University
students
1
The same group of research participants were used for both studies noted here.
29
Self-directed learning at school and in higher education in Africa
First year
17
Du Toit-Brits and Van Zyl (2017)
First year
104
Havenga and De Beer (2016)
First year
43
Lubbe (2017)
First year
480
Mthethwa (2018)
First year
168
Mulube and Jooste (2014)
Second year
6
Aheto et al. (2017)
Second year
33
Breed and Bailey (2018)
Second year
Not stated
Lumina (2005)
Second year
85
Petersen (2018)
Second year
257
Stegmann and Malan (2016)
Second and third 77
year
Van der Walt (2014)
Third year
87 (surveys)
23 (interviews)
Maistry (2009)
Third year
16
Olivier (2016)
Third year
37
Statham et al. (2014)
Unnamed
postgraduate
qualification
Not indicated
Greyling et al. (2016)
Postgraduate
Certificate in
Education
5
Du Toit et al. (2016)
Postgraduate
Certificate in
Education
367
Van Wyk (2017)
Not stated
3 800
(Feedback)
11 000
(Surveys)
Jacobs and Van Loggerenberg(1996)
Not stated
Not stated
Orton and Nokes (2012)
Not stated
57
Setlhodi (2019)
30
Self-directed learning at school and in higher education in Africa
University
lecturers
Vocational
training
Fourth years
Working adults
4
Du Toit-Brits and Van Zyl (2017)
3
Malan et al. (2014)
2
Mthethwa (2018)
9
Nottidge and Louw (2017)
11
Statham et al. (2014)
153
Mbagwu et al. (2020)
519
De Bruin and De Bruin (2011)
59
(Questionnaires)
17 (Focus group
interviews)
De Klerk and Fourie (2017)
From the overview of the sampling in the corpus, it is clear that most research is done with
university students and lecturers with samples of varying sizes. However, it is evident that more research
is necessary on SDL at school and vocational education level as well as how it functions within the work
environment in terms of professional development, for example.
4.4.3 Instruments
A number of standardised instruments are used to gauge different aspects of stay away from the malls please
SDL. Most notably the SDLRS by Lucy Guglielmino (1977), the Self-Directed Learning Perception Scale
(SDLP) by Pilling-Cormick(1996), the Self-Rating Scale of Self-Directed Learning (SRSSDL) from
Williamson (2007), the Self-Directed Learning Instrument (SDLI) by Cheng, Kuo, Lin and Lee-Hsieh
(2010) as well as the Self-directed learning skill scale (Ayyildiz & Tarhan, 2015).
In some cases, the researchers from the studies in the corpus made use of questionnaires developed
by themselves (De Bruin & Cornelius, 2011; De Bruin & De Bruin, 2011; Petersen, 2018; Stegmann &
Malan, 2016).
A summary of the instruments used in the data is provided in Table 5, despite additional other
instruments being used in some research. This chapter reports on the instruments specifically relating to
SDL.
Table 5. Overview of instruments used
Instruments
Sources
Learner Self-Directedness in the Workplace Scale
De Bruin and De Bruin (2011)
Self-Directed Learning Readiness Scale (SDLRS)
De Bruin (2007)
31
Self-directed learning at school and in higher education in Africa
De Bruin et al. (2001)
Greyling et al. (2016)
Self-directed learning skill scale
Mbagwu et al. (2020)
Self-Rating Scale of Self-Directed Learning (SRSSDL)
Breed (2014)
Breed (2016)
Breed and Bailey (2018)
Havenga and De Beer (2016)
Lubbe (2017)
Nottidge and Louw (2017)
Olivier (2016)
Van der Walt (2014)
Student Self-Directed Learning Questionnaire (SSDLQ)
De Bruin and Cornelius (2011)
Unnamed self-generated questionnaire
Mulube and Jooste (2014)
Petersen (2018)
Stegmann & Malan (2016)
In the qualitative research, other techniques were also employed to generate data, and this included:
● document analysis (De Beer, 2019b; Du Toit et al., 2016; Greyling et al., 2016; Havenga & De
Beer, 2016; Olivier, 2016; Setlhodi, 2019; Terblanché, 2010; Vos & Van Oort, 2018);
● focus-group interviews (Abubakar & Arshad, 2015; De Klerk & Fourie, 2017; Lekalakala-Mokgele
& Caka, 2015; Maistry, 2009; Malan et al., 2014; Nottidge & Louw, 2017; Statham et al., 2014);
● individual interviews (Breed & Bailey, 2018; De Beer, 2019b; De Beer & Mentz, 2017; Du Toit et
al., 2016; Du Toit-Brits, 2019; Du Toit-Brits & Van Zyl, 2017; Iiyambo & Geduld, 2019; Jacobs
and Van Loggerenberg, 1996; Maistry, 2009);
● interactive interviews (Setlhodi, 2019);
● netnography (Sujee et al., 2015);
● observations (Abubakar & Arshad, 2015; Lumina, 2005; Malan et al., 2014);
● open-ended questionnaires (Aheto et al., 2017; Breed, 2016; Du Toit et al., 2016; Jacobs & Van
Loggerenberg, 1996; Maistry, 2009; Mthethwa, 2018; Olivier, 2016; Petersen, 2018; Stegmann &
Malan, 2016);
● researcher reflections (Lumina, 2005);
● a bricolage of different artefacts and documents (Van Wyk, 2017); and
● the critical incident technique (Van Rensburg & Botma, 2015);
In terms of quantitative data, the SRSSDL by Williamson (2007) seems to be the most common
instrument used. Interestingly, neither the SDLP nor the SDLI was used at all. Despite some work towards
creating context-specific instruments and some being translated into local languages, there seems to be a
need for the development of instruments to gauge SDL in the varied African contexts.
Within the qualitative context, many strategies were followed with document analyses, different
types of interviews and open-ended questionnaires being the most common. However, it is evident that
more observation research might be necessary to understand the SDL context in African classrooms.
32
Self-directed learning at school and in higher education in Africa
4.5 Main trends from the corpus
In terms of broad trends from the corpus, the relevance of SDL is evident from all the sources part of this
corpus used in this chapter. SDL is also considered an essential twenty-first-century skill (Du Toit-Brits &
Blignaut, 2019). However, it is clear that in many cases, formal education in schools and even in higher
education is teacher-centred (De Beer & Mentz, 2017; Iiyambo & Geduld, 2019). Furthermore, there is a
need for teachers to be empowered to use strategies such as collaborative learning and others to foster SDL
(De Beer, 2016; De Beer & Mentz, 2017).
Some of the sources relate to the role or impact of SDL on other constructs. In this regard, it was
found that students measuring a high SDL would find career decision-making easier as there are correlations
between SDL and career decision-making self-efficacy (De Bruin & Cornelius, 2011). Lubbe (2017)
established that keyboarding skills of students increased for students with an average or high level of SDL
readiness. Moreover, existing scholarship on SDL informed several interventions (Fakolade & Adeniyi,
2010; Mbagwu et al., 2020).
Limited studies explicitly focussed on the SDL instruments alone, and the overall trend was on
research in exploring or measuring SDL. A unique case was the study by De Bruin et al. (2001) in which
the psychometric properties Self-Directed Learning Readiness Scale (SDLRS) were explored. They
empirically determined the following factors “Openness to learning opportunities, Love of learning,
Positive self-concept as an effective and independent learner, and Acceptance of responsibility for own
learning” (De Bruin et al., 2001, p. 128).
On the side of teachers, despite the focus on the learner within SDL, specific actions can contribute
to fostering SDL among students (Du Toit-Brits, 2018b). Du Toit-Brits (2019) found that educators’
positive expectations can support SDL. The importance of motivation was also evident in terms of
supporting SDL (Du Toit et al., 2016; Du Toit-Brits & Van Zyl, 2017; Mulube & Jooste, 2014). The need
for teacher support for SRL and ultimately also SDL is evident (Iiyambo & Geduld, 2019; Shishigu et al.,
2019). Interestingly, Greyling et al. (2016) explored how learning materials could be structured to create
opportunities for the development of SDL.
Some studies showed how specific strategies such as cooperative learning, project-based learning
and problem-based learning could be supportive of SDL. In this regard, cooperative learning can be
supportive of SDL. Breed (2016) notes how incorporating “positive interdependence, individual
accountability, promotive face-to-face interaction, appropriate social skills, and group processing” (p. 1) in
group work can influence SDL. Petersen (2018) also concurs that cooperative learning can foster SDL.
Malan et al. (2014) also agree that problem-based learning promotes significant learning patterns that
positively contribute to the development of SDL skills.
In the study by Mbagwu et al. (2020), an intervention was constructed around the nine factors
identified by Ayyildiz and Tarhan (2015) and this increased SDL skills:
● attitude towards learning,
● learning responsibility,
● motivation and self-confidence,
● ability to plan learning,
● ability to use learning opportunities,
● ability to manage information,
● ability to apply learning strategies,
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Self-directed learning at school and in higher education in Africa
●
●
assessment of learning process, and
evaluation of learning success/results.
Furthermore, metacognition is also regarded as an important factor in terms of SDL (Mariano &
Batchelor, 2018). In the corpus, this was also evident, and Breed and Bailey (2018) found “that the use of
the metacognitive self-questions during cooperative pair problem-solving, positively influenced the
students’ levels of self-directed learning” (p. 1). Van der Walt (2014) found correlations between
dimensions of questionnaires for SDL and metacognition.
Other sources in the corpus also indicated the advantages of cooperative learning (De Beer &
Mentz, 2017), project-based learning (De Beer, 2019b; Du Toit et al., 2016; Havenga & De Beer, 2016),
problem-based learning (Abubakar & Arshad, 2015; De Beer & Mentz, 2017; Malan, Ndlovu &
Engelbrecht, 2014; Statham et al., 2014) for SDL. Abubakar and Arshad (2015) noted the affordances of
introducing real-life problems towards supporting SDL and Hugo et al. (2012) associate SDL with authentic
learning. While Setlhodi (2019) advocated the use of a self-paced learning framework.
Malan et al. (2014) indicated that the introduction of problem-based learning promotes significant
learning patterns, encourages SDL skills in students and ignites a “process of growth towards lifelong
learning”. This finding is echoed by Kidane, Roebertsen and Van der Vleuten (2020) that SDL is “an
appropriate and preferred learning process to prepare students for lifelong learning”. Mbagwu, Chukwuedo
and Ogbuanya (2020) in their study to promote lifelong learning (LLL) in VET students, also found that
SDL positively increases students’ LLL tendencies.
It was found that certain personality traits are related to SDL readiness (De Bruin, 2007). In this
regard, it was found that “students who are emotionally stable, trusting, well-controlled and relatively
relaxed have good potential to be self-directed learners” and that in terms of the 16 Personality Factor
Questionnaire (16PF), “Independence, Superego Strength and Sensitivity also seem to act as codeterminants of self-directedness” (De Bruin, 2007, p. 236).
Extrinsic motivation and positive influence contribute to students developing SDL. Du Toit-Brits
(2019), found that educators’ expectations in an SDL learning environment influence students to apply their
SDL skills to direct their learning in class. The findings further showed that teachers who are confident in
the delivery positively influence students and enhance their SDL readiness. In another study, Mulube and
Jooste (2014) explored first-year learner nurses’ perceptions of SDL. It was found that students had a
positive perception of their learning which revealed that they are driven to learn. Although their selfconfidence lacked, SDL enhanced their clinical skills and better prepared them for assessment. On the other
hand, Nottidge and Louw (2017) evaluated the perceptions of faculty leadership towards SDL in a Nigerian
medical school. They found that this leadership believe that students need to be guided by teachers towards
SDL.
Some studies focus on SDL and assessment. Aheto et al. (2017) described how the WikiEducator
E-quiz platform could be used to support the self-assessment of students. Lumina (2005) found that the use
of portfolios and peer marking supported student SDL according to the Law students in that research.
Similarly, Van Wyk (2017) also observed that ePortfolios could be useful in fostering SDL. While with an
overview of different studies on portfolios, De Beer (2019b), Kruger et al. (2015) and Terblanché (2010)
found that portfolios can be used effectively to support SDL. Stegmann and Malan (2016) explored the role
of detailed feedback and peer-assessment, and they found despite some negativity towards peer-assessment
among students, changes in the way feedback were approached supported self-assessment and SDL.
34
Self-directed learning at school and in higher education in Africa
There were also studies in the corpus exploring the role of technology in the process of promoting
SDL. In this regard, there was research related to the use of Turnitin for writing instruction (Sujee et al.,
2015) as well as the use of online assessment tools (Aheto et al., 2017). Orton and Nokes (2012) also
reported on SDL within a blended learning context for an occupational health nursing course.
The affordances of SDL for professional development and within the workplace is evident. In this
regard, Van Rensburg and Botma (2015) found that SDL can have a positive effect on forming life-long
learners and on quality in practice within the professional environment. Similarly, Wittmann and Olivier
(2019) also note the importance of SDL for the professional development of language teachers and De
Klerk and Fourie (2017) for professional cataloguers. The study by De Bruin and De Bruin (2011) aimed
to create an instrument to be used to gauge SDL in the work environment and found it to be a reliable
measure for their research sample.
In the African context and recently specifically in the South African milieu (Le Grange, 2019), the
issue of decolonisation of the curriculum is highly relevant. To this end, including indigenous knowledge
(Ezeanya-Esiobu, 2019) in the curriculum is regarded as a suitable vehicle (Breidlid & Botha, 2015; De
Beer & Mentz, 2019). In this regard, from the corpus, the work of De Beer (2016) and De Beer and Mentz
(2017) is in support of this movement while considering the implications of SDL.
5.
FINDINGS
The overview of research from the created corpus of publications on SDL in Africa presented in this chapter
has shown various trends as well as opportunities for future research. Steady growth in research on SDL is
evident. Various disciplines and themes have been researched in terms of SDL; however, the majority of
the works have focussed on education and specifically teacher education as well as health sciences.
Strategies that are in support of SDL have also been considered especially also in terms of open distance
contexts. Methodologically most of the research is qualitative in nature and is, in most cases done with
university students and to an extent, lecturers. Consequently, there is a need for increased school-based and
vocational education level research. Certain instruments are commonly used, and this may provide
opportunities for comparison; however, there is a need for additional instruments to be developed in and
for African contexts.
In terms of the findings from the studies, overall, the need for SDL is clear. In many studies, the
interaction between SDL and various variables was explored. The role of the teacher in terms of facilitating
SDL, was identified as significant in many studies. Cooperative learning, project-based learning and
problem-based learning as strategies to foster SDL were also prominent. The role of metacognition,
authentic real-life problems and motivation were also highlighted.
Interestingly quite a number of studies focussed on assessment, and here, the role of portfolios was
quite significant. Yet, the role of assessment with regards to SDL needs to be explored further. Finally, in
terms of context, the increased importance of technology and situating learning as part of the decolonisation
of the curriculum, were also noted.
35
Self-directed learning at school and in higher education in Africa
6.
CONCLUSION
At the start of the chapter, it was noted that this research aimed to determine the nature of SDL research on
the African continent between 1990 and 2020 and this was done employing a systematic literature review.
This chapter explored the nature of SDL research within the context of Africa for the past 20 years.
In this chapter, SDL was understood as both a learning process and learner characteristic. The 54
publications identified for analysis covered many disciplines and fields; however, most of the work was
done within education and specifically teacher education and health sciences. The majority of research is
done in and on South Africa, but there was also some research from Ethiopia, Ghana, Namibia and Nigeria.
In terms of research methodologies, a lot of variety was observed, yet, most of the work is the research is
qualitative and is done within university contexts.
Consequently, more research is needed at school, vocational education and professional
development levels. Various standard SDL measuring instruments are used, but there is a need for the
development of more instruments for the varied African contexts. Broadly the findings of the various SDL
studies show how strategies like cooperative learning, project-based learning and problem-based learning
can foster SDL. Also, variables such as metacognition, motivation, the teacher, the learning environment
and unique African contexts are important.
Some limitations can be identified in terms of this research as the corpus was limited to specific
criteria and databases. From the databases sources written in English and Afrikaans were identified from
searches being done in English only. Hence, publications in other languages were not included in the
analysis. In addition, the interpretations are based on the judgement of the two researchers. Thus, they are
influenced by their approaches to SDL and their respective epistemological lenses inherent to their analyses.
The findings from this research cannot be generalised to all research in Africa. But, it does provide an
impression of what has been done.
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Jako Olivier is the holder of the UNESCO Chair in Multimodal Learning and Open Educational Resources
and is a professor of Multimodal Learning in the Faculty of Education at North-West University. His
research, within the Research Unit Self-Directed Learning, focuses on self-directed multimodal learning,
open educational resources, multiliteracies, blended and e-learning in language classrooms as well as
multilingualism in education. He currently holds a Y rating from the National Research Foundation and
was awarded the Education Association of South Africa’s Emerging Researcher Medal in 2018. In addition
to recently editing a book on self-directed multimodal learning, he has published numerous articles and
book chapters at the national and international levels, and he also acts as a supervisor for postgraduate
students.
Antoinette Wentworth holds a Master’s Degree in Educational Technology: Instructional Design and is
currently the Manager of instructional material development, print and online, for Open and Distance
Learning at the Namibia University of Science and Technology. She serves on the eLearning Standing
Committee under the umbrella of the Namibia Open Learning Network Trust with a keen focus on the
development of Open Education Resources. Her research interest involves re-thinking instructional design
models to convert traditional face-to-face course material to a Technology Enhanced Learning
Environment. Her newly found interest is in self-directed learning, specifically on what role self-directed
learning play in online teaching and learning.
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