JOURNAL OF E-LEARNING AND KNOWLEDGE SOCIETY
Vol. 16, No. 02 (2020), pp. 61-72
A blended learning approach for general chemistry modules
using a Moodle platform for first year academic students
Chiara Schettinia, Daniela Amendolab, Ido Borsinic, Rossana Galassia1
a
b
c
University of Camerino, School of Science and Technology, Chemistry Division – Camerino (Italy)
Univeristy of Camerino, School of Biosciences and Veterinary Medicine – Camerino (Italy)
University of Camerino School of Science and Technology, Physics Division – Camerino (Italy)
(submitted: 09/12/2019; accepted: 29/04/2020; published: 30/04/2020)
Abstract
Three academic years have been considered for the evaluation of the impact of an online tutoring course of general and
inorganic chemistry for freshmen students of the University of Camerino (Italy). The online material mainly consists of video
tutorials, other open source web tools and multi-choice self-assessment exercises. During the academic year 2016-2017, the
e-Learning course was not available yet, but then the online course was first implemented (2017/18) and fully adopted
(2018/2019).The online tutoring support was activated alongside a traditional general chemistry course, adopting a blended
mode, with the aims of: (i) homogenizing freshmen’s chemistry knowledge; (ii) fostering the most appropriate method of
study in a multi access modality; (iii) implementing the Johnstone’s three levels’ knowledge and (iv) increasing students’
self-confidence, by the means of a self-evaluation training process. Differently from previous studies, the online course herein
aimed mainly to develop a correct method of study of chemistry topics, with a punctual description of what-and-how to do.
The results, i.e. the exam's scores, the time spent in the platform, and the successful percentage of students per year, have
been collected and analysed through qualitative and quantitative methods. Apart a general satisfaction of the students
perceived by the answers to a survey questionnaire, the analysis of the data shows an increase of 11 % of students passing
the final exam within three exam sessions together with an improvement and a positive correlation between the time spent
on the platform and the mid-term scores achieved.
KEYWORDS: Moodle, Chemistry Education, Blended Learning, ICT, Tutorial Online
expanded rapidly since its first introduction (Dori &
Rodrigues, 2013). ICT can support learning processes
and facilitate the transition from a teacher-centred
instruction towards a flexible student-centred learning
process in which students actively build their knowledge
using different sources (Brouwer & McDonnell, 2009).
Blended learning is a commonly adopted learning
approach in higher education, which combines face-toface teaching with online instruction and feedback. This
pedagogical model fosters students to learn in an
interactive and collaborative environment, offering
flexible time frames that can be personalized to fit
individual learning needs (Saltzberg & Polyson,1995).
Learning strategies adopting blended learning models
were reported and widely discussed even in the context
of higher education (Collis, 2003; Garrison & Kanuka,
DOI
https://doi.org/10.20368/1971-8829/1135197
CITE AS
Schettini C., Amendola D., Borsinic I., Galassia R., (2020), A
blended learning approach for general chemistry modules using a
Moodle platform for first year academic students. Journal of ELearning and Knowledge Society, 16(2), 61-72.
https://doi.org/10.20368/1971-8829/1135197
1. Introduction
The use of information and communication technology
(ICT) in Higher education chemistry teaching has
1
corresponding author - email: rossana.galassi@unicam.it– address: Via Sant’Agostino 1, 62032, Camerino MC (Italy)
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knowledge regarding chemical principles and concepts,
optimizing time and resources in chemistry education in
universities. Experimental results indicate that online
video tutorials are a valuable, flexible and cost-effective
tool to improve the ability of the students in chemistry
problem solving (Tallmadge & Chitester, 2010; He,
Swenson & Lents, 2012; Roggenkämper & Waitz, 2017).
In Italy the development of e-Learning system in
Universities has taken place in the absence of significant
regulatory action but through independent initiatives for
elevating the quality of traditional didactics with the
support and integration of different online communication
(Baldi et al., 2006; Capogna, 2012). In 2008, the
University of Genoa successfully implemented an online
support for first year students, undertaking an inorganic
chemistry module. Students were required to afford some
series of stoichiometry online exercises, supplemented by
several face to face tutorials, and to complete a pre-lab
online activity incorporating an explanatory video
(Cardinale, 2008).
In the University of Camerino, the degree courses in
Biology, Biotechnology, Geology and Natural Sciences
are attended by international groups of European and
non-European students with different backgrounds in
terms of university entry points and prior knowledge of
chemistry, and for whom English is not their first
language. In the first semester of the first year, the course
in General and Inorganic Chemistry is organized with
lectures in the traditional way and with class sizes of
more than a hundred students, making hard to give
individualized student attention and timely feedback on
formative assessment. A rough analysis of students'
performances at the mid-term test and at the final exam
of the last ten years (2006-2016) shows that, even
though most students pass the exam within one
academic year, the scores are low or medium-low for 5060% of them. These results highlight a superficial
knowledge of the Chemistry topics covered and, above
all, difficulties in critical thinking and problem solving
skills, even more evident in the resolution of
stoichiometric problems, as already referred in
educational research (Gulacar et al., 2013). Moreover,
first year students have incomplete mental models and
often represent scientific problems in a superficial way
showing problems in understanding and correlating the
three levels (Figure 1), described by Johnstone
(Johnstone, 1991).
The heterogeneity of the initial levels of students,
coming from different education systems and the related
widely varying interest and motivation in the subject,
combined to a mostly memory based method and a
limited attitude to self-evaluation, represent further
challenges for lecturers (Zusho, Pintrich & Coppola,
2003).
It becomes clear that for many of current students
learning chemistry is a complex and demanding process
that requires something extra beyond the material
presented in a textbook or lecture.
2004). Among the wide range of blended learning
models reported, the Graham’s framework with
enhancing blends are the most commonly adopted at
university. In this model, technology increases student
productivity, extending the amount of information
students can learn or increasing the richness of the
material (Graham, 2007). Moreover, according to the
Resource-Based Learning (RBL) pedagogical approach,
materials can be delivered through study packages in a
digital, user-centred learning environment (Hill &
Hannafin, 2001), helping students to recognize their
learning needs, locate suitable resources, assess their
progress and manage their learning. A virtual learning
environment (VLE), as a Moodle platform, is a software
tool that provides a single framework within which
students can access a wide range of online resources,
allowing staff and students to interact using different
communication tools at any time. Different assessment
tools, as in example self-test quizzes, provide instant
feedback to learners about the knowledge and the skills
acquired in face-to-face lectures. Several authors have
described the use of VLEs in Chemistry courses in
Higher education, often addressed to first year
undergraduates, reporting an improvement in student
achievement and satisfaction (Vician & Charlesworth,
2003; Lovatt, Finlayson & James, 2007; Williams,
Bland and Christie, 2008). On the other side, from the
didactics’ point of view, in the first approach to the study
of chemistry, students deal with difficulties and relative
misconceptions due, for example, to the overlying of
three different levels (macro, sub-micro and symbolic),
according to Johnstone’s model (Johnstone, 1982).
More specifically, since the mid-1970s, it has been
established that most of the resistance to change the
misconceptions of the students are due to inadequate or
inaccurate mental model at the sub microscopic level
(Kleinman, 1987; Lijnse, 1990), even among students
who were performing well in formal examinations
(Nakhleh & Mitchell, 1993). Molecular animations,
video demonstrations and simulations help students to
better correlate all three levels of representation, as
described by several authors (Williamson & Abraham,
1995; Sanger & Greenbowe, 1997). Russell and
colleagues (1997) reported that the use of simultaneoussynchronized macroscopic, microscopic and symbolic
representations through a specially designed software
provides an improvement of students’ conceptual
understanding and ability to create dynamic mental
models. Velazquez-Marcano (2004) described the
successful use of both video demonstrations and
molecular animations in the conceptual understanding of
three chemical phenomena by the students of the first
year chemistry course. The constructivist VisChem
Learning design (Tasker & Dalton, 2006) investigated
the mental model of the students regarding a substance
or reaction at the molecular level before showing
animations portraying the phenomenon, enhancing a
deeper comprehension of the threefold representation of
matter. Task-based video tutorials are another effective
way to support students in acquiring fundamental
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In this paper the platform’s design and the results of
these two years are discussed to evaluate the impact of
the VLE in terms of exam success and the degree of
students’ satisfaction with the blended learning
approach.
The evaluation of students’ usage of the online tutoring
course has been examined through the following
research questions:
a. Will students use the online resources available
through Moodle and, if so, how they use them?
b. Do students who access the online material have a
better general performance and in the mid-term
evaluation test?
c. How do students perceive the effect of online
resources on their examination performance and
chemical concepts’ understanding?
d. What are students’ opinion regarding online
tutoring?
To obtain answers to these research questions, a blended
teaching model has been planned and adopted. The
didactics model was structured with classical frontal
lessons delivered together tutoring materials (Figure 2).
These latter indicate step by step how to face up the
chemical reactions study correlating the three levels of
chemistry, approaching the problem solving and the
issue of the self-assessments. The mid-term results were
extrapolated from the platform and examined on
comparison with those obtained when the platform was
not adopted yet. Moreover, the outputs of the final
exams of the different academic years together to the
answers to a survey questionnaire uploaded in the
Moodle platform were analysed. The results are herein
shown and discussed.
Figure 1 - Schematic representation of the three levels of chemistry
and their expression in chemistry taken in consideration in this study.
Therefore, in 2017, we decided to implement a
supplemental online tutoring course, in order to fill the
background’s gaps and to support students in their first
weeks of learning path, providing guidance and
organization for study in the period afore the mid-term
test of stoichiometry. Our general aim was to improve
student performance in terms of exam’s success,
consisting of both grade level and time spent to get the
exam. Additional learning targets lie on the development
of learning skills such as to interrelate the chemistry
levels of learning, to accelerate the adoption of a proper
method of study, to develop sensitivity to a selfevaluation process. For this purpose, we have chosen a
blended learning approach, in which e-Learning is
integrated into the teaching, the learning, the assessment
and a real-time feedback of the topics, beyond to a faceto-face teaching which is still retained. Based on the
previous experiences of the use of the Moodle platform
in the teaching-learning process of Chemistry described
in literature (Lovatt, Finlayson & James, 2007; Benedict
& Pence, 2012; Milner-Bolotin, 2012; Lau González et
al., 2014), we integrated them in an innovative way,
designing a course in a virtual learning environment that
not only delivered the needed inorganic chemistry and
stoichiometry contents for the mid-term test, but that
aimed to: (i) illustrate the method for solving the
stoichiometry exercises through video tutorials and with
the help of an “Overview” section, which details the
step-by-step procedure showed in the video tutorial; (ii)
show representations of the Johnstone’s three levels
involved in the chemical phenomena related to each
stoichiometric exercise, through videos of aboratory
experiments (macro level) and computer animations
(sub microscopic level).
Since the 2017/18 Academic Year, the online tutoring
course was structured in seven modules, designed,
prepared, uploaded, and delivered in the Moodle
platform of the University of Camerino. First year
students of Natural Sciences, Earth Sciences, Biology
and Biotechnology in two different academic years
(2017/2018 and 2018/2019) have practised the modules
as a preparation for the mid-term stoichiometry test. The
course provides two mid-term exam on stoichiometry
and a final exam on the general chemistry themes.
Figure 2 - Sketch of a horizontal structure of the course in the
academic years taken in consideration in this study along the
academic year. In yellow the learning’s structure of academic year
2016/2017 and in blue that for the academic years 2017/2018 and
2018/2019. The orange arrows detail the didactics’ step producing
the data for the herein discussion.
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Video tutorials are based on voice and handwriting,
simulating teacher’s exposition and addressing students
with different backgrounds of knowledge and problem
solving skills. Handwriting is accomplished by using a
Wacom tablet. The videos have an average duration of
15 minutes and the file size is from 100 to 150 MB. In
the video tutorials, detailed step-by-step explanations
show the solution of the assigned problems or exercises,
along with the principles and formulas of the symbolic
level needed for the specific task. Key information about
the followed method of analysis and solution, as well as
theoretical references, are included in the videos, with
the aim to make the student able to apply the method to
similar cases, once mastered the required skills.
Within each module other sections have been added to
complete the learning path:
• A “Background knowledge” section, which lists the
knowledge and skills required to afford the study
of the module, so that students can check and fill
their gaps;
• An “Overview” section, which details the steps
needed to solve the stoichiometric exercise
illustrated in the video tutorial;
• An “Other material to support learning” section, in
which more learning support materials (interactive
guides, tutorials, tables, etc.) are added;
• A “Multiple choice exercises” section, with a
multiple choice test of 10 randomly-selected
questions on the topics of the module, to allow
students’ self-assessment.
2. Materials and methods
The online tutoring course design has been preceded by
an accurate identification of the first part course’s topics
and related stoichiometric problems that students found
more difficult and/or for which poorer performances in
the final exam were recorded. Within the course, seven
study packs or modules are included, each one
addressing one of the detected issues. Our goal was to
promote deeper conceptual understanding by prompting
students to connect quantitative calculations to chemical
processes at the microscopic level (e.g., the level of
atoms and molecules) and to outcome at the
macroscopic level (e.g., final concentrations, colour,
temperature) (Johnstone, 1997). The VLE used in this
study is a Moodle, a web based Course Management
System, that it is an open source software that can be
freely downloaded from the web and allows the educator
to develop a course with multiple functions, including
file hosting, quizzes, assignments, chats, discussion
forums, glossaries and questionnaires.
Our course includes the following sections:
1. An initial test of 30 multiple choice items, checking
students’ General and inorganic Chemistry basic
knowledge;
2. Three Forums for student-teacher interaction: a
“News Forum” for general notices, a “Technical
Forum” for technical problems and an “Interaction
Forum with the course tutor and the professor2, for
more detailed explanations and scaffolding;
3. A “Prerequisites” section with some preparatory
materials (significant figures, units of measure,
etc);
4. Seven Modules, organized as described below,
inserted simultaneously at the opening of the VLE;
5. A mid-term evaluation test of 24 multiple choice
items, in six different equivalent versions,
administered to all enrolled students;
6. A survey questionnaire, consisting of 43 questions
aiming to acquire variables of interest to the study
and to test students’ perception and satisfaction.
All course materials are delivered in English. The initial
and the mid-term test were performed by students in the
classroom, with mobile devices (mobile, tablet, laptop).
2.2 Participants
In the first edition of the course (A.Y. 2017/18), 185
students of both degree courses (140 students of Biology
and Biotechnology and 45 students of Geology and
Natural Sciences) were enrolled on the platform and its
use was highly encouraged, even not mandatory. In the
second edition of the course (A.Y. 2018/19) 155
students of both degree courses (118 students of Biology
and Biotechnology and 37 students of Geology and
Natural Sciences) were enrolled on the platform.
However, the data were analysed without distinguishing
the frequency course. The percentage of enrolled
females (2017/2018, 61.08%; 2018/2019, 57.42%) on
the total number of students was higher than the males
(2017/2018, 38.92%; 2018/2019, 42.58%) in both
editions, but decreased from one edition to another,
while that of males increased (+3.66%). Regarding their
nationality, most of the students enrolled in the two
degree courses were Italian in both editions (2017/2018,
62.70%; 2018/2019, 72.26%), followed by NonEuropean countries’ students (2017/2018, 31.35%;
2018/2019 20.65%) and Other European’s countries
students (2017/2018, 5.95 %; 2018/2019, 7.10 %). The
statistical analysis of the students’ mid-term test
evaluations also examined the results of the students
enrolled in the 2016/17 academic year when the VLE
2.1 Structure of the Modules
The seven modules were designed to allow students to
rapidly interconnect the three levels of representation in
Chemistry (macroscopic, sub microscopic and
symbolic). After the title of the task, the macroscopic
level is being introduced using short videoclips of the
experiment related to the assignment. The sub
microscopic level of the phenomena is being visualized
via computer animations, found in Chemistry didactics’
websites. To understand the symbolic level, a video
tutorial guides the students, step-by-step, in solving the
stoichiometry exercises, related to the investigated
chemical phenomena.
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Academic Year
Number of
%M
Je-LKS, Vol. 16, No. 02 (2020)
%F
students
% Italian
% European
% Non-
students
students
European
students
2016-2017
186
54.06
45.94
60.5
4.37
35,13
2017-2018
185
38.92
61.08
62.70
5.95
31.35
2018-2019
155
42.58
57.42
72.26
7.10
20.65
Table 1 - Demographic characteristics of students enrolled in A.Y. 2016/17, 2017/18, 2018/2019.
values of F-crit can demonstrate if exist a significant
difference between the analyzed samples of students. As
for (iii), we have considered for the three academic year
under analysis the percentage of students passing the
final exam within the first three exam sessions,
comparing and discussing in both qualitative and
quantitative way the obtained results. As for (iv), the
questionnaire consisted of 43 questions and was divided
into 4 sections: (a) Personal data; (b) Behaviours; (c)
Intentions/Preferences/Opinions; (d) Open questions,
comments. The first section (a) collects basic
demographic information (age, gender, country of
origin, degree course) and data regarding digital and
English language skills. The second section (b) contains
five questions to elicit qualitative data on students’
previous e-Learning experience and mode of use of the
current VLE. The third section (c) consists of 19 Likerttype statements and one closed question, regarding
students’ satisfaction and perception of the online course
advantages and any difficulty related to materials’
comprehension and usage. Finally, in the fourth section
(d) we have asked to the students to give their general
opinion on the platform through five open questions,
while the last eight Likert-type statements investigate
the preferred class modality of the students, and how the
students use personal devices and social networks in the
preparation for the exams. Only 50% of the active
students of the A.Y. 2018/2019 answered the
questionnaire (66 students). In this work we will discuss
the results of the questionnaire about section (c).
was not yet present. The main characteristics of the
students enrolled in the three academic years examined
are described in the table below (Table 1).
2.3 Collection and Data Analysis methodology
The results of the study are based on the data extracted
from the Moodle platform. The statistical analysis of the
mid-term evaluation test administered to the students
and the analysis of the results of a questionnaire on the
students’ subjective perception of the VLE learning
activity, are all related to the second edition of the course
(A. Y. 2018/19). As a matter of fact, the A.Y. 2017/18
edition was a pilot study whose results (Schettini et al.,
2018) improved the next full scale implementation.
Specifically, we analysed:
(i) the students’ pattern of usage of the platform,
numbering the logging hits of the VLE different
sections and of each section of the module;
(ii) the improvement of the results in the mid-term
evaluation test for the students who used the eLearning course (A.Y. 2018/2019);
(iii) The percentage of the students who passed the
exam in the first three sessions during the three
A.Y. 2016/2017; 2017/2018; 2018/2019;
(iv) The data collected through an online
questionnaire on the students’ experience and
perception about the blended learning activity,
proposed to the students at the end of the online
activities.
As for (i), we also compared the number of accesses of
the second edition with those of the pilot one, even
relative to gender and nationality. We have analysed the
learning analytics extracted from the Moodle platform
after the practising of the course by the students and
organized them in tables that represent the number of log
to different resources and activities, in order to obtain
the level of interaction that students have with each
them. As for (ii), we compared the mid-term exam’s
results obtained from the students of the A.Y.
2018/2019, who had available the tutorial course on the
Moodle platform, with the results obtained from the
students of the A.Y. 2016/2017 that have not available
the e-Learning course. To do that we compared the
results of the two academic years by submitting them to
the statistical analysis of ANOVA (Kozielska, 2004) and
then, to the analysis test of Snedecor-Fisher, where the
3. Results and discussion
Do students use the online resources available through
Moodle and, if so, how they used them?
In general, during the fully implemented Moodle
platform year, that is 2018/2019, students used the
platform in preparation for the mid-term test, but even
more between it and the final examination (230%
increase in the number of log hits after the mid-term test
date). 52.90% of the students enrolled took the mid-term
test (82 out of 155) and all were active students,
constituting 62.12% (82 out of 132). The fact that 100%
of active students took the mid-term test can mean either
that the platform made them more self-confident or
indeed that, being the most motivated and conscientious,
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Je-LKS, Vol. 16, No. 02 (2020)
followed by Italians (64.66%) and those coming from
non-EU countries (46.55%). In 2018/2019, the most
active students on the platform, compared to same
nationality’s total number, were still other EU countries’
students (90.91%, with an increase of 18.18%), now
followed by Non-European countries students (87.50%,
with a significant increase of 40.95%) and by Italian
students (83.93% with an increase of 19.27%).
they would still have addressed it, even without the
online resources. In detail, in the first edition of the
course, 110 students logged in to Moodle platform and
accessed to its resources (hereinafter referred to as active
students), whereas they were 132 in the second edition.
Comparing the two editions, the number of active
students on the platform increased (+25.70%), even if
there was a decrease in the number of students enrolled
(-16.22%). The percentage of active females
(2017/2018, 57.27%; 2018/2019, 55.30%) on the total
number of active students was slightly higher than the
males (2017/2018, 42.73 %; 2018/2019, 44.70%) in the
two editions and slightly decreased from one edition to
another, while there was a small increase in the males’
percentage (+1,97%). On the other hand, the percentage
of active males in the total of males (2017/2018,
65.28%; 2018/2019, 89.39 %) was definitely greater
than the percentage of active females versus the total of
females (2017/2018, 55.72%; 2018/2019, 82.02%), and
both increased from one edition to another (Males,
+24.11%; Females, +26.27%), with greater participation
of females who became more active in the second
edition. In 2018 and in 2019 Italian students represented
the largest proportion of active students (2017/2018,
62.70%; 2018/2019, 72.26%), compared to active
students’ total extent, followed by Non-European
countries’ students (2017/2018, 31.35 %; 2018/2019,
20.65%) and Other European countries’ students
(2017/2018, 5.95%; 2018/2019, 7.10%). On the other
hand, in 2017/2018 the most active students on the
platform, compared to same nationality students' total
3.1 Patterns of usage of the Moodle platform
In this study, we analysed only the data of the second
edition of the online course (2018/2019). An indication
of overall usage can be obtained from the log of hits,
demonstrating the general level of interaction students
had with each resource (Table 2), even if it is possible
that a student can access to the same resource several
times.
The ranking of the modules with the highest number of
accesses reflects the order in which these are placed into
the platform, except for Module 7. The fact that the latter
modules have been less visited may be due to the
insufficient time students had available for their study
before the exam so, following the list, they failed to
complete all the modules. Moreover, students didn't use
the forums at all, preferring the traditional explanation
face-to-face in the classroom.
Resources
Hits
Forum news
0
Technical forum
0
Forum for interaction
0
Module 1-Net Ionic Equation for an Acid-Base Reaction
1709
Module 2-Mass Relation in Chemical Reaction
1164
Module 3-Oxidation-Reduction Reaction
1001
Module 4-Writing the Equation for a Precipitation Reaction
879
Module 5-A reaction with a limiting reactant
746
Module 7-Recognizing the Common Types of Reactions
720
Module 6- Theoretical and Percentation Yield
678
Prerequisites
182
Table 2 - Total Moodle resource hits.
number, were other EU countries students (72.73%),
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Je-LKS, Vol. 16, No. 02 (2020)
Sections
Hits
Multiple choice exercises
5453
Other materials to support learning
632
Videotutorial
282
Background knowledge
200
Overview
151
Video experiment
101
Submicroscopic view
78
Table 3 - Total Module’s sections hits.
Table 3 shows which modules’ sections were the most
accessed in total. “Multiple choice exercises” had the
most number of hits, followed by “Other materials to
support learning” and “Video tutorial”. As shown in
Table 3 “Module’s sections hits”, this ranking is the
same within each module, as well as the number of
students who accessed the single sections. The exercises
were delivered on the platform at the same time as the
other resources and for each of them students had an
unlimited number of attempts. They were not used for
formal assessment and students received solutions only
after submitting their answers. Students’ preference for
multiple choice exercises revealed the need to assess
their knowledge and to receive an immediate feedback
that facilitates the understanding and learning process.
Furthermore, the possibility of receiving systematic
feedback gave the students the ability to complete their
preparation before facing both the mid-term test and the
final exam. Indeed, as these self-assessment activities
are aimed to provide students information on the
knowledge acquired, other authors have emphasized the
use of self-assessment resources allowing the
reorganization of students’ self-learning strategy (Bell &
Volckmann, 2007; Lovatt, 2007; Kennepohl & Guay,
2010; Lau Gonzalez et al., 2014).
sufficient, while there is a clear shift of a sizable number
of students from the third group (sufficient-good) to the
fourth group of top performing students (very goodexcellent). Hence, empowering the classical teaching
with online resources (the blended method) is not
enough to solve the large ensemble of problems for the
very outperforming students, in some way an expected
result, while there is a very positive effect of the blended
approach in the case of students who knows how to
orient them self in the study of a discipline.
Do students who access the online material have a better
general performance and result in the mid-term
evaluation test?
Combining a qualitative and a quantitative analysis on
the data set, we observed a substantial difference in the
skills acquired by students, with a clear improvement of
the scores of the students when, during the second year
considered (2018-19), the blended methodology has
been adopted. In order to visualize the difference in
scores among the two academic years, we clusterized the
data in such a way to form four ranges of scores obtained
by the students: 1-10 (strongly insufficient); 11-17
(insufficient); 18-23 (sufficient-good); 24-30 (very
good-excellent). Comparing the two bar plots of Figure
3, we are able to conclude that the blended methodology
was almost ineffective with the first and the second
group of students having low (strongly insufficient) or
very low scores (insufficient), except for few cases of
improvements in the score from insufficient to
Figure 3 - The difference in scores among the two academic
years 2016/2017 and 2018/2019.
The students need to have a minimal set of instruments
and knowledge to benefit from a more reach teaching
and learning approach. This qualitative picture coming
out from a visual data analysis is then confirmed by a
more rigorous statistical approach, as follows. In Table
4a and in Table 4b we reported the data obtained by
applying the statistical method of Anova. The Anova is
based on the Analysis of variance, a method of
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Je-LKS, Vol. 16, No. 02 (2020)
ONE FACTOR ANOVA SUMMARY
Groups
Number of students
SUM of normalized score
MEAN of
Variance
normalized score
2018-2019
81
54.4250
0.6719
0.0332
2016-2017
99
55.7833
0.5634
0.0494
Table 4a - Number of students for each academic year, sum of the normalized score (0-1),
average of the normalized score and variance.
ONE FACTOR ANOVA ANALYSIS
Origin of the
SQ
DoF
MQ
F
Variations
Between
Significance
F crit
value
0.5239
1
0.5239
Within groups
7.5000
178
0.0421
TOTAL
8.02
179
12.4345
0.0005
3.8942
groups
Table 4b - Statistical test of Snedecor-Fisher: the values of F and F-crit (in bold) of the academic years 2016-2017 and 2018-2019
show that the differences in the averages of the scores acquired by the students
in the two examined academic years are considerable from a statistical point of view.
inferential statistics which allows to compare two or
more groups of data set by considering the variance of
the data within each group and comparing it with the
variance of the other groups. In this work, the Anova is
applied to the mid-term scores of the students of the two
academic years 2016-17 and 2018-19, that are the
academic years in which the two methodologies (classic
and blended) were performed in their complete form. In
the statistical test of Snedecor-Fisher, which is a
standard hypothesis test to compare in a quantitative
way the variance of two data set, the values of F and Fcrit of the academic years 2016-2017 and 2018-2019
show that the differences in the averages of the scores
acquired by the students in the two examined academic
years are substantial from a statistical point of view.
passing the exam was 31%, while in 2018-2019 A.Y. the
percentage was 30%, very similar to the previous year,
showing a net increase of 11 % (Figure 4).
Figure 4 - Percentage of first year students passing the final exam
of general and inorganic chemistry, within the first available three
sessions of exams, in the three A.Y. taken in consideration.
Which is the percentage of the students who passed the
exam in the first three sessions?
Regarding students’ performances at the final exam of
general and inorganic chemistry, the percentage of first
year students passing the exam within the first three
sessions of exams in the three academic years taken in
consideration was analysed. If we compare the data, we
can observe that in the 2016/2017 A.Y., the percentage
of students passing the exam was as low as 19%. Thanks
to the additional support to help students in their study
organization and to give further explication of the basic
knowledge needed, this percentage was then increased in
2017-2018 A.Y, where the percentage of students
How do students perceive the effect of online resources
on their examination performance and chemical
concepts’ understanding?
In this section we report the results of the data extracted
from the questionnaire proposed to the students of the
A.Y. 2018/2019, the period during wich the online
tutorial course was completely adopted. The 50% of the
active students in the Moodle platform answered to the
questionnaire (66 students).
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Je-LKS, Vol. 16, No. 02 (2020)
Students’ perception and satisfaction
Students were asked to report on their perception of
usefulness of the platform as a whole and of the different
module’s sections and results are showed in Table 5
(legend: SDA = strongly disagree; DA = disagree;
NAND = neither agree nor disagree; A = agree; SA =
strongly agree).
Most of the students considered useful for the mid-term
test the platform as a whole (A + SA = 53.03%), also for
the topics’ deeper awareness (A + SA = 48.49%; NAND
= 39.39%), according with other studies’ results on
Chemistry blended learning courses (Lovatt, Finlayson
and James, 2007; Tekane, Pilcher and Potgieter, 2019).
The ranking of the perceived usefulness of the different
modules’ sections (A + SA: Multiple choice exercises
74.25%; Overview 69.69%; Video tutorials 56.06%;
Other materials 51.52%; Videos of the experiment
37.88%; Sub microscopic views 22.73%) almost
reflected the log hits’ ranking (Table 3).
It is noticeable that students reported greater difficulties
in understanding the sub microscopic level (SDA + DA
= 22.73%), compared to video tutorials (SDA + DA =
10.61%) and videos of experiments (SDA + DA =
7.55%). This could explain the lower number of
accesses and the lower perceived usefulness, possibly
due to a lack of familiarity with this type of
representation of chemical phenomena, with respect to
the macro and symbolic level. Being first year and firstsemester students, simultaneous shift between the three
levels of chemistry represents a long-term educational
goal, rather difficult to achieve in just over a month of
study without an adequate background. Regarding the
accessibility of materials, students mostly considered
adequate their previous knowledge to understand the
material (A + SA: 46.97%; NAND 25.76%; SDA + DA:
27.28%) and also to respond to the initial test (A + SA:
45.45%; NAND 31.82%; SDA + DA: 22.73%) and to
the choice exercises (A + SA 53.03; NAND 25.76%;
SDA + DA 21.22%).
NA
Questions
SDA
DA
ND
A
SA
The platform has been useful for the test
0.00
9.09
37.88
30.30
22.73
The videos have been useful for the test
4.55
16.67
40.91
27.27
10.61
The submicroscopic views have been useful for the test
10.61
16.67
50.00
12.12
10.61
for the test
0.00
6.06
24.24
27.27
42.42
The video tutorials have been useful for the test
1.52
13.64
28.79
21.21
34.85
for the test
1.52
4.55
19.70
22.73
51.52
Other materials have been useful for the test
3.03
6.06
39.39
31.82
19.70
awareness
1.52
10.61
39.39
31.82
16.67
I had no difficulty in understanding videos
3.03
4.55
36.36
30.30
25.76
3.03
19.70
36.36
25.76
15.15
3.03
7.58
31.82
28.79
28.79
platform materials
7.58
19.70
25.76
31.82
15.15
My previous knowledge was adequate to address the initial test
4.55
18.18
31.82
30.30
15.15
4.55
16.67
25.76
37.88
15.15
4.55
9.09
30.30
43.94
12.12
The overview of the resolution steps of the exercise has been useful
The multiple choice exercises have been useful
The platform has been useful for topics' deeper
I had no difficulty in understanding the
submicroscopic level
I had no difficulty in understanding video
tutorials
My previous knowledge was adequate to understand
My preparation was adequate to address the multiple
choice exercises
The difficulty of the final test was comparable to the level of the
multiple choice exercises
Table 5. Students’ perceptions on the usefulness and difficulty of the platform.
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Schettini C., Amendola D. et al.
Je-LKS, Vol. 16, No. 02 (2020)
NA
Questions
SDA
DA
ND
A
SA
Online tutoring can replace traditional lectures
30,30
25,76
24,24
12,12
7,58
Online tutoring helps me better understand course materials
3,03
13,64
31,82
36,36
15,15
Online tutoring helps me better understand course requirements
0,00
12,12
30,30
39,39
18,18
I hope more course modules available on the platform
3,03
1,52
24,24
27,27
43,94
I hope more online tutoring courses available
1,52
3,03
30,30
28,79
36,36
Table 6. Student’s perception on this online tutoring facility.
legend: SDA = strongly disagree; DA = disagree; NA/ND = neither agree nor disagree; A = agree; SA = strongly agree.
Freshmen students feel the need to be guided for very
first approach to study chemistry, for their knowledge
gap filling and to individuate a method of study to have
success in chemistry exam. Furthermore, when asked
about the preferred class modality mostly they chose
frontal lessons blended with equal or minimal use of
online facilities (Figure 5).
In detail, 48 % of students opted for a blended learning
with equal distribution of online content and face-to-face
lessons, while only 12 % indicated entirely face to face
modality as the preferred one and 5 % would like only
online contents.
Finally, most of the students reported the same level of
difficulty in the mid-term test and in multiple choice
exercises (SA + A 56.06%), confirming their validity for
an adequate preparation. As a matter of fact, the midterm test was designed according to the structure of the
modules and considering the three Johnstone’s levels.
The overall difficulty of the mid-term test was weighted
with tests administered in the past.
Five statements in the questionnaire explored the
students’ perceptions about online tutoring and their
suggestions for future improvement. The results are
shown in percentage in Table 6. Although the majority
of students (SDA + DA = 56.06%) believed that online
tutoring could not replace traditional lectures, most of
them considered it useful for understanding both the
course materials (A + SA = 51.51 %) that knowledge
and skills’ requirements (A + SA = 58.17%). With a high
percentage (A + SA = 71.21%), students agreed with the
need of more online modules covering the other topics
of the course and, in general, with a higher number of
online tutoring courses (A + SA = 65.15%). These first
results underline as the students’ perception on
platform’s use was absolutely the expected one
(Vishnumolakala et al., 2017; Abrahim et al., 2019;
Stowe, 2019).
4. Conclusions
The first year students in an academic course are
obviously very different from each other with
heterogeneous backgrounds both from a cultural and a
scientific point of view. Generally, this is expressed with
a plurality of approaches to the learning and difficulties
in organizing the study. Moreover, in the first semester
of the first year, students are distracted by many stimuli
often concerning adaptation to a new lifestyle as well as
to the reconstruction of a new social life. Furthermore,
data extrapolated from input tests (pre-test) performed
by freshmen on the basic knowledge in chemistry reveal
a variable percentage of students who do not reach the
minimum knowledge about chemistry and therefore they
have the so-called additional educational objectives
(OFA). For a teacher of the first semester of the first year
the need to teach a proper approach to the study, for
example, the use of modelling, the need to introduce a
specific language, the implementation of problem
solving, becomes therefore a priority.
Hence, any resource that remains available to students
and that can be enjoyed at any free moment, becomes an
opportunity to stimulate and motivate the study of needy
students.
The preparation of tools and materials on virtual
learning environment, as discussed in this work,
responds to the aforementioned needs by providing
tutorial support to all students regardless of their
incoming situation, bringing in them a perception of
utility and satisfaction although shared with the
attribution of a fundamental value to the frontal lectures
Figure 5 - Students’ opinions on the didactics experience and
their preferences. The number relative to the entries represent:
1 (pale blue): entirely face-to-face, 2 (red): minimal use of the
web, mostly held in face-to-face format, 3 (grey): an equal mix
of face-to-face and web content, 4 (orange): extensive use of
the web, but still some face-to-face class time, 5 (dark blue):
entirely online with no face-to-face time.
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Je-LKS, Vol. 16, No. 02 (2020)
Capogna, S. (2012). University and E-learning Classes
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Supporting students’ learning to learn in general
in teaching. However, from the data of this study, we can
see some salient aspects.
For example, students like to study online, even though
not exclusively, but, surely the most intriguing aspect for
them is the possibility of having multiple access to a
quick self-assessment. This leads us to think that
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platform and the overall outcome in terms of score.
On conclusion of this work, we can assess that the
Moodle platform facility is a useful device because
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commitment, the perceive and the self-assessment
outcomes of the students. In this work we implemented
a Moodle platform with tutoring modules covering only
initial topics, making easier for first year chemistry
students, to get in a rigorous method of study to achieve
a win-win output.
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