Sign up & Download
Sign in

e-Learning Theories in Practice : A Comparison of three

by Felix Mödritscher
Science And Technology (2006)

Abstract

As e-learning and distance learning tend to get more and more important for all kind of organisations, researchers and practitioners are becoming aware of the fact that a simple technology-focussed approach does not guarantee successful teaching and learning. Thus, a shift to pedagogy-based initiatives can be observed within the field of e-learning. This paper examines the implications of commonly known learning theories on online courses. Therefore, a case study was carried out within the field of adult education aiming at the implementation of different e-learning strategies with respect to the behaviouristic, cognitive, and constructivistic school of learning. Furthermore, these instructional approaches are compared with each other in order to examine aspects such as the effort for the teacher and the students, the effectiveness of each method, the students workload or collaborative and social aspects of e-learning.

Cite this document (BETA)

Available from Felix Mödritscher's profile on Mendeley.
Page 1
hidden

e-Learning Theories in Practice : A Comparison of three

e-Learning Theories in Practice: A Comparison of three
Methods
Felix Mödritscher
Institute for Information Systems and Computer Media (IICM)
Graz University of Technology, and Campus02, University of Applied Sciences Degree
Program in IT and IT-Marketing, Graz, Austria
fmoedrit@iicm.edu and felix.moedritscher@campus02.at

Abstract: As e-learning and distance learning tend to get more and more important for all kind
of organisations, researchers and practitioners are becoming aware of the fact that a simple
technology-focussed approach does not guarantee successful teaching and learning. Thus, a
shift to pedagogy-based initiatives can be observed within the field of e-learning. This paper
examines the implications of commonly known learning theories on online courses. Therefore,
a case study was carried out within the field of adult education aiming at the implementation of
different e-learning strategies with respect to the behaviouristic, cognitive, and constructivistic
school of learning. Furthermore, these instructional approaches are compared with each other in
order to examine aspects such as the effort for the teacher and the students, the effectiveness of
each method, the students’ workload or collaborative and social aspects of e-learning.
Keywords: e-learning; learning theories; behaviourism; cognitivism; constructivism; case
study, Moodle.
Categories: TH.TH, TH.EV, TO.14, TO.18, TO.20, TO.27
1 Introduction
E-learning is identified as one of the emerging areas as shown by means of concrete
numbers in [Brennan 2003] and has turned out to be important for educational
institutions as well as for companies as highlighted by concrete application scenarios
in [Dietinger 2003]. Nevertheless, various problematic aspects such as higher costs
and political influences [Noble 2001], the focusing on technology and the negligence
of pedagogical principles [Park et al. 1987], usability problems of e-learning systems,
etc. were reported. According to [Gunawardena & McIsaac 2004], a shift from
technology- to pedagogy-based research can be observed within the field of distance
learning. Educators have become more interested in examining pedagogical themes
and strategies within online courses instead of experimenting with new technologies.

Against this background, the need for realising distance learning phases was
recognised at the Campus02, University of Applied Sciences, Graz, Austria
[Campus02 2005]. Thus, an internal project which aimed to support lecturers with
implementing their distance learning strategy was initiated. The study dealt with in
this paper is one result of this project’s outcomes and was initiated in order to
examine and compare different e-learning methods. Therefore, three online courses
were implemented with the intention to follow the ideas of commonly known learning
theories summarised in section 2. Afterwards, a detailed description of the e-learning
study, the didactical strategy and the implemented courses is given in section 3.
J. of Universal Science and Technology of Learning, vol. 0, no. 0 (2006), 3-18
Appeared: 28/5/06 © J.USTL
Page 2
hidden
Thereafter, the three methods are compared to each other and findings are pointed out
in section 4.

As this paper discusses different approaches for realising online courses, the
following assumptions about didactical aspects of e-learning were made by the
author:
• It is possible to implement an e-learning course on a certain topic in different
ways, and each of these methods is realisable in the area of adult education.
• E-learning courses implementing different pedagogical strategies may vary
in the preparation, implementation, or concluding stage.
• The behaviouristic and the constructivistic approach may not be that
effective and popular due to the disadvantages of these two learning theories.
• Group tasks may be more effective and popular than tasks for individuals.

With respect to [Oblinger & Hawkins 2005], the term “e-learning” is currently used
for different educational scenarios in literature. Therefore, at this point, the term has
to be defined by describing the character of the case study: The study deals with the
scenario of running three online courses entirely virtually over a period of two month.
Each course aims at mediating a set of competencies given by objectives, materials,
and instructions. All interactions between the learners (students) and the instructor
(teacher) are accomplished online utilising an e-learning system. The three courses
differ with respect to instructional design, which means that each course is determined
by another set of tasks. The learning objectives as well as the learning content are
equal for each course.
2 E-Learning Theories
Implementing e-learning courses can be seen as a complex process going beyond
systematically executing steps within an instructional design model. Among a large
number of critical aspects, [McLeod 2003] suggests instructors to consider principles
of learning by means of historically grown learning theories. Thus, it is possible to
reuse certain procedures, for instance pre-defined instructional components as stated
in [Merrill 2001]. Within the e-learning situation, three learning theories – the
Behaviourism, the Cognitivism, and the Constructivism – are of importance as shown
in [Cooper 1993], [Dietinger 2003], etc.. In the following, these three theories are
described in short, and implications for realising online courses are derived.
2.1 Behaviourism
The behaviourist school of thought, influenced by researchers like Watson,
Thorndike, Pavlov, and Skinner who postulates that “learning is a chance in
observable behaviour caused by external stimuli in environment” [Skinner 1974].
Behaviourists see the mind as a “black box”, in the sense that a response to a stimulus
can be observed quantitatively, totally ignoring the effect of thought processes
occurring in mind. [Atkins 1993] highlights four aspects relevant for realising online
courses with respect to the behaviourist school:
4 Moedritscher F.: E-Learning Theories in Practice ...
Page 3
hidden
• The learning material should be broken down into small instructional steps
being presented in a deductive way by means of starting with a rule,
category, principle, formula or definition, giving positive examples to
reinforce understanding, and showing negative examples to establish
conceptual boundaries;
• Course designers have to define sequences of instructions using conditional
or unconditional branching to other instructional units and pre-determining
choices within the course. Normally, activities are sequenced for increasing
difficulty or complexity. The sequence and pacing through the materials are
usually beyond learner control;
• To maximise learning efficiency, learners may be routed to miss or repeat
certain sections based on the performance on diagnostic tests, or on tests
within the sequence of learning activities. Nevertheless, the instructional
designer may also allow a learner to choose the next instruction out of a set
of activities, giving the learner more control over the learning process;
• The behaviouristic approach for learning suggests to demonstrate the
required operation, procedure or skill, and to break it down into its parts with
appropriate explanation before learners are expected to copy the desired
behaviour. Learners are supposed to build proficiency from frequent review
or revision with check tests at strategic points or repeat practice with
feedback. Instructional design emphasises low error rate and the usage of
remedial loops back through material if necessary. Furthermore,
reinforcement messages should be used to maintain motivation.

Overall, behaviourists recommend a structured, deductive approach to design an
online course, so that basic concepts, skills, and factual information can rapidly be
acquired by the learners. Further implications on online learning can be summarised
by the concept of drill and practice, portioning materials and assessing learner’s
achievement levels, and giving external feedback. However, the effectiveness of
behavioural design approaches for higher-order learning tasks or for transfer of
learning is as yet unproven.
2.2 Cognitivism
Cognitivists consider learning as an internal process that involves memory, thinking,
reflection, abstraction, motivation, and meta-cognition as outlined by [Ally 2004].
Cognitive psychology comprises the learning process from an information processing
point of view, where information is received in the sensory store through different
senses and, further, transferred to the short-term and the long-term memory through
different cognitive processes.

Furthermore, the cognitive school recognises the importance of individual differences
and of including a variety of learning strategies to accommodate those differences.
Thus, different learning styles [Kolb 1984], [Myers 1978], etc. refer to how a learner
perceives, interacts with, and responds to learning material. In addition, cognitive
styles as addressed e.g. in [Witkin et al. 1977] describe learner’s preferred way of
processing information, that is a person’s typical mode of thinking, remembering, or
problem solving.
5Moedritscher F.: E-Learning Theories in Practice ...
Page 4
hidden
Besides, the individual cognitive trend derived from Piaget’s theory, [Deubel 2003]
states that the learning process also includes socio-cultural perspectives emphasising
socially and culturally situated contexts of cognition as expressed by Vygotsky (see
[Duffy & Cunningham 1996]). Instructional designers have to consider the following
aspects for realising online courses:
• The teaching strategy should enhance the learning process by facilitating
all sensors, focussing the learner’s attention by highlighting important and
critical information, reasoning each instruction, and matching the cognitive
level of the learner;
• The instructional designer should tie up to new information with existing
information from long-term memory using advanced organisers to activate
exiting cognitive structures or to incorporate the details of the lesson,
providing conceptual models to enable the learner to retrieve existing mental
models, using pre-instructional questions to set expectations and to activate
the learner’s existing knowledge structure, and using prerequisite test
questions to activate the prerequisite knowledge structure required for new
materials;
• The learning content should be chunked to prevent cognitive overload.
Exceeding a number of five to nine items to learn, linear, hierarchical, or
spider-shaped information maps should be provided;
• Strategies requiring the learner to apply, analyse, synthesise, and evaluate
should be used to promote deep processing of information and higher-level
learning;
• Online learning materials should include activities for the different learning
and cognitive styles. Furthermore, it is necessary to provide adequate and
the right type of support for students with different types of learners;
• With respect to dual-coding theory [Paivio 1990], information should be
presented in different modes to accommodate individual differences in
processing and to facilitate transfer to long-term memory;
• Students need to be motivated to learn by means of learning strategies
addressing the intrinsic motivation (driven from within the learner) and the
extrinsic motivation (instructor or performance driven). Therefore, methods
such as Keller’s ARCS model – the abbreviation for attention, relevance,
confidence, and satisfaction [Keller & Suzuki 1988] – could be applied by
the instructor;
• With respect to [Meyer 1998], the teaching strategy should enforce learners
to use their meta-cognitive skills by reflecting on what they learn,
collaborating with other learners or checking their progress;
• Finally, the teaching strategy should connect learning content with different
real-life situations, so that the learners can tie up to own experiences and,
therefore, memorise things better. Furthermore, a transfer to real-life
situations could support the development of personal meaning and
contextualisation of the information.

To sum up this subsection, cognitive psychology focuses on learners’ receiving and
processing of information to transfer it into long-term memory for storage. Therefore,
instructional designers have to consider different aspects beginning from chunking the
6 Moedritscher F.: E-Learning Theories in Practice ...
Page 5
hidden
learning content into smaller parts and supporting different learning styles up to
higher concepts such as motivation, collaboration or meta-cognition. Although the
cognitive-focused approach is well suited for reaching higher-level objectives, a
major weakness can be identified, if a learner lacks of relevant prerequisite
knowledge. To account this, a course designer has to ensure that the instructions are
appropriate for all skill levels and experiences, which is evidently costly and time-
consuming.
2.3 Constructivism
The constructivist school of learning suggests that learners construct personal
knowledge from the learning experience itself as stated in [McLeod 2003]. Thus,
learning can be seen as an active process, and knowledge cannot be received from
outside or from someone else. According to [Duffy & Cunningham 1996], learners
should be allowed to construct knowledge rather than being given knowledge through
instructions. Furthermore, constructivists emphasise situated learning, which sees
learning as contextual and suggests strategies promoting multi-contextual learning to
make sure that learners can apply the information broadly.

With respect to [Boethel & Dimock 1999], the following assumptions can be made up
on this learning theory: Learning is an adaptive activity and situated in the context
where it occurs. Knowledge is constructed by the learner who also deals with
resistance to change. Experiences and social interactions play a role in the learning
process. By deriving implications for creating instructions for online learning, the
following statements have to be made up:
• Learning should be an active process by means of keeping learners active
doing high-level activities such as asking learners to apply information in
practical situations, facilitating personal interpretation of learning content,
discussing topics within a group, and so forth;
• To enforce learners constructing their own knowledge, instructors have to
provide good interactive online instructions, since the students have to take
the initiative to learn and interact with other students and the instructor and
since the learning agenda is controlled by students [Murphy & Cifuentes
2001]. In contrary to traditional lecture where instructors contextualise and
personalise information to meet their own needs, students have to experience
the learning content at first-hand;
• As stated e.g. in [Hooper & Hannafin 1991], collaborative and cooperative
learning should be encouraged to facilitate constructivist learning. Working
with other learners gives students real-life experience and allows them to use
and improve their meta-cognitive skills. When assigning learners for a group
work, membership should be based on the expertise level and learning style,
so that team members can benefit from one another’s strengths;
• Learners should be given control of the learning process. Besides, there
should be a form of guided discovery where learners can make their decision
on learning goals, but can also use some guidance from the instructor;
• When learning online, students should be given time and opportunity to
reflect the learning content. Embedded questions on the content can be used
7Moedritscher F.: E-Learning Theories in Practice ...
Page 6
hidden
throughout the lesson to encourage reflection and processing of the
information;
• Learning should be made meaningful and illustrative for learners by
including examples and use cases for theoretical information. Besides,
activities should enforce learners to apply and personalise the learning
content offered;
• Instructors should focus on interactive learning activities to promote
higher-level learning and social presence and to help develop personal
meaning. As learning focuses on developing new knowledge, skills, and
attitudes, e-learning faces the problem that psychomotor, affective and
higher-level objectives are hard to reach within virtual learning phases.
Therefore, [Mödritscher & Sindler 2005] suggest providing other ways –
such as social or interactive activities, context-based learning, assessment
through open-ended questions, etc. – to realise such didactical aspects.

Examples of constructivist learning can be found within the scope of experiential
learning, self-directed learning, context-aware learning, and reflective practice.
Despite a variety of advantages of Constructivism, like the presentation of content
from multiple perspectives, the active knowledge construction, the development of
meta-cognitive strategies, this learning theory also faces a few disadvantages, such as
problems in adequately evaluating the learning process, lack of instructional resources
to respond to the multitude of student interests or higher effort to create context-based
learning content, restrictions on driving the learning process to a certain direction
given e.g. by science, higher drop-out rate due to a lack of extrinsic motivation for
students with low capabilities on self-directed learning, etc..

These three commonly known learning theories are of central relevance for the
implementation of different e-learning strategies as shown in the case study described
in the next two sections.
3 Realisation of the Courses regarding the Learning Theories
The following study was accomplished within the scope of an e-learning project at
Campus02 [Sindler 2005] and dealt with an online course on the topic “document
formats”. Although the instructional unit can be considered as a lecture on the basics
of information technology, attempts were made towards reaching the whole range of
competencies and some higher-level objectives to cover and examine a broad range of
didactical aspects. Characterising the course with reference to [Bloom 1956], the
educational objectives mainly dealt with imparting knowledge on the students, but
included also two skills and one affective goal as shown in Table 1.






8 Moedritscher F.: E-Learning Theories in Practice ...
Page 7
hidden
Table 1: Statistics of the course’s educational object
Domains according to Bloom Taxonomy Level 1 Level 2 Level 3
Cognitive Domain 5 4 2
Psychomotor Domain 0 0 2
Affective Domain 0 0 1

When planning this study, the lecture was implemented in three different online
courses, each one realising the didactical strategy related to one learning theory
described in the last section. Therefore, the 38 students were split up into three groups
according to the students’ performance on a previous lecture related to the topic and
assigned to the courses. Subsequently, a customised version of the open source
platform Moodle was used to launch the courses which, then, were successfully
running over a two month’s period. The online courses dealt with the same learning
content and, in addition, tried to achieve the same objectives depicted in Table 1.
Hence, each course applied different didactical activities as shown in the following
subsections.
3.1 Course A – the Behaviouristic Approach
Course A was planned with respect to Behaviourism, whereat learning objectives and
materials were portioned into three modules by the teacher and each of the 14
students had to study each module and finish it within a certain period of time. The
sequence of the instructional portions as well as the schedule was given by the
teacher. The students’ achievement levels were measured with online examination.
Furthermore, this course included some playful activities, such as the possibility of
several attempts in the exam, an increasing difficulty level on later modules, one task
to gain a bonus, etc., to keep the learners motivated. The learning process was
assessed by typical behaviouristic elements like multiple-choice questions,
assignment tasks or short answers. To examine the high-level objectives of the
psychomotor and affective domain, ITS methods were simulated by the teacher, e.g.
by manually evaluating submitted strings encoded by Huffman or LZW compression.
3.2 Course B – the Cognitive Approach
Course B attended by 12 students was implemented according to the ideas of
Cognitivism. Therefore, its tasks can be characterised by classical cognitive elements,
such as repeating learning content in different ways, working out parts of the course
within a group work or re-structuring the content. Different learning styles were
covered by providing different kind of instructional support using various learning
activities of Moodle. Motivational aspects were realised by fast responsiveness of the
teacher as well as by a bonus system. Further, meta-cognitive skills of students were
reflected or even enhanced by enforcing students to work in groups. Finally, the
students’ tasks were focussed on including own experiences within their work.

Overall, this course was divided into two phases. Firstly, three groups consisting of
four students each had to work out a part of the course’s objectives. In the second
phase, the groups were reassembled to four groups with three members, while each
9Moedritscher F.: E-Learning Theories in Practice ...
Page 8
hidden
group had to restructure the results of the first phase using a WIKI environment. To
motivate the groups, the best work of the second phase was awarded with a bonus. To
assess the learning process, the results of each phase were graded by the teacher based
on the quality and quantity of the students’ work within the group. WIKI enables the
reproduction of the student’s part within the group.
3.3 Course C – the Constructivistic Approach
Course C comprises the idea of constructivism enforcing each of the 12 participating
students to work actively on the tasks within a group of three members. Further, all
kind of interactive elements such as chat, discussion group, tasks, etc. were provided
within the Moodle system, and the students were also allowed to collaborate outside
the e-learning platform. Thus, students held full control over the learning process and
were able to manage the schedule on their own. The approach was realised by giving
the four groups all materials and the task to create a document for mediating the
course’s learning objectives to colleagues. In the second phase, the three members of
each group had to compare the works of the other groups, evaluate them by
distributing a certain amount of points and reason this distribution. Again, the group
with the best work received a bonus. The group assignment work was graded by the
teacher on basis of the students’ peer reviews.

While the e-learning phase was in process, students of the courses were instructed to
document certain aspects, such as the effort for learning, a self-assessment on
reaching the objectives, etc.. Furthermore, an unannounced and challenging
examination as well as a post-questionnaire was carried out in the course of the
lecture held after the e-learning experiment. Based on the whole amount of data
retrieved from this study, the next section summarises the experiences gained about
the different e-learning strategies comparing them to each other.
4 Comparison of the three e-Learning Strategies
To evaluate the different e-learning methods following the learning theories dealt with
in section 2, the three courses are compared to each other with respect to different
aspects such as the effort for the teacher or the students, the effectiveness, and so
forth. In the following subsections each stage of the study is examined closer.
4.1 Preparation Stage
First of all, the preparation stage for the study took the lecturer approximately 15.5
hours distributed as shown in Table 2. As materials had existed already, there was not
much effort for preparing the online materials, which were the same in each course.







10 Moedritscher F.: E-Learning Theories in Practice ...
Page 9
hidden
Table 2: Characteristics of the three courses for the preparation stage
Teacher’s activities and effort (* all courses alike) A B C
1. Determining organisational parameters 1* 1* 1*
2. Defining the learning objectives 1* 1* 1*
3. Preparing the existing materials 2* 2* 2*
4. Assigning students to the three courses ½* ½* ½*
5. Creating instruction for the ongoing evaluation ½* ½* ½*
6. Creating instructions and activities for the course 5 ½ 1 ½ 1 ½
7. Preparing concluding tests and post-questionnaire 2* 2* 2*
Teacher’s overall effort [in hours] 12 ½ 8 ½ 8 ½

Including the effort of seven hours for course-independent activities, the teacher spent
more time to create course A than to prepare the courses B or C. These differences
can mainly be reasoned by the high effort for creating questions with the Moodle
system. Nevertheless, the quizzes created allowed for quick grading and can be reused
for other online courses on this topic.
4.2 Running the Online Courses
Secondly, the implementation of the three courses required an amount of 11.5 hours
of work from the teacher. An overview on the teacher’s activities and efforts for
carrying out each course is given in Table 3. In addition, students of course A meant
to master most of the 14 learning objectives, while students of course C slightly
doubted about it, and students of course B were very pessimistic about the
achievement of the defined competencies. Moreover, student groups of course A and
C declared to work on the tasks separately most of the time, while the participants of
course B quoted to work with other students at least for 30% of the time.
Table 3: Characteristics of the three courses for the implementation stage
Teacher’s activities and effort (* all courses alike) A B C
1. Introducing the online course in the lecture 1* 1* 1*
2. Weekly mail to inform and motivate students 2 1 1
3. Supervising the group tasks - 1 ½ ½
4. Individual feedback on students and group tasks 2 1 ½
Teacher’s overall effort [in hours] 5 4 ½ 3
Further Characteristics
Students’ self-assessment of effort [in hours] 12.2 9.4 7.6
Students’ self-assessment of mastering objectives 92.9% 46.8% 74.3%
Students’ self-assessment of learning alone 96.9% 69.2% 98.8%
Number of teacher’s activities 3278 3712 1773
Number of students’ activities 2969 8037 3162

An interesting aspect in this stage is the distribution of online activities of the teacher
and the students in the e-learning platform Moodle. Although the online activities are
only a part of the teaching and learning process itself, the distribution of the clicks
11Moedritscher F.: E-Learning Theories in Practice ...
Page 10
hidden
over the period of the e-learning phase might give some interesting interpretations on
different aspects of the course.

Analysing the number of activities in the three courses, course A is characterised by
the fact that the teacher had more activities than the 14 students altogether (3278 vs.
2969 activities). Interpreting Figure 1, it is obvious that the number of activities
amounts up to 500 activities right before each module ended, because the students had
to pass the examination until these deadlines. As shown in the chart, these peaks can
be found before the deadlines (21st April, 19th May and 2nd June 2005), while the
activities at the other events, as for example the intensive and course-independent
discussion at the beginning of the e-learning phase, are significantly lower.
0
50
100
150
200
250
300
350
400
450
500
01
Ap
ril 2
00
5
04

Ap
ril 2
00
5
07
Ap
ril 2
00
5
10
Ap
ril
20
05
13

Ap
ril 2
00
5
16
Ap
ril 2
00
5
19
Ap
ril 2
00
5
22
Ap
ril 2
00
5
25
Ap
ril 2
00
5
28
Ap
ril 2
00
5
01
M
ay
20
05
04

Ma
y 2
00
5
07
M
ay
20
05
10
M
ay
20
05
13
M
ay
20
05
16
M
ay
20
05
19
M
ay
20
05
22
M
ay
20
05
25
M
ay
20
05
28
M
ay
20
05
31

Ma
y 2
00
5
03
Ju
ne

20
05
Period of e-Learning Phase
Nu
m
be
r
o
f A
ct
iv
iti
es

Figure 1: Distribution of teacher’s (blue), students’ (pink) and overall (yellow)
activities for course A
Contrary to course A, the 12 students of course B had to act more than twice as much
as the teacher (3712 vs. 8037 activities) due to the usage of the WIKI module.
12 Moedritscher F.: E-Learning Theories in Practice ...
Page 11
hidden
0200
400
600
800
1000
1200
01
Ap
ril 2
00
5
04
Ap
ril 2
00
5
07
Ap
ril 2
00
5
10
Ap
ril 2
00
5
13
Ap
ril 2
00
5
16
Ap
ril 2
00
5
19
Ap
ril 2
00
5
22
Ap
ril 2
00
5
25
Ap
ril 2
00
5
28
Ap
ril 2
00
5
01
Ma
y 2
00
5
04
Ma
y 2
00
5
07
Ma
y 2
00
5
10
Ma
y 2
00
5
13
Ma
y 2
00
5
16
Ma
y 2
00
5
19
Ma
y 2
00
5
22
Ma
y 2
00
5
25
Ma
y 2
00
5
28
Ma
y 2
00
5
31
Ma
y 2
00
5
03
Ju
ne

20
05
Period of e-Learning Phase
N
u
m
be
r
o
f A
c
tiv
iti
e
s

Figure 2: Distribution of teacher’s (blue), students’ (pink) and overall (yellow)
activities for course B
Furthermore, the deadlines for the two phases (6th May and 2nd June 2005) are not
clearly recognisable. The peaks of activity numbers (up to 1000) can be identified in
the second phase as shown in Figure 2. This could be seen as an indicator that the first
phase was too long, or the workload in the second phase was too high. Nevertheless,
in this course each student had to work with the Moodle system, which was
guaranteed by the tasks and the version-control feature of the WIKI environment.
0
50
100
150
200
250
300
350
400
450
500
01
Ap
ril 2
00
5
04
Ap
ril 2
00
5
07
Ap
ril 2
00
5
10
Ap
ril 2
00
5
13
Ap
ril 2
00
5
16
Ap
ril 2
00
5
19
Ap
ril 2
00
5
22
Ap
ril 2
00
5
25
Ap
ril 2
00
5
28
Ap
ril 2
00
5
01
Ma
y 2
00
5
04
Ma
y 2
00
5
07
Ma
y 2
00
5
10
Ma
y 2
00
5
13
Ma
y 2
00
5
16
Ma
y 2
00
5
19
Ma
y 2
00
5
22
Ma
y 2
00
5
25
Ma
y 2
00
5
28
Ma
y 2
00
5
31
Ma
y 2
00
5
03
Ju
ne

20
05
Period of e-Learning Phase
N
u
m
be
r
o
f A
c
tiv
iti
e
s

Figure 3: Distribution of teacher’s (blue), students’ (pink) and overall (yellow)
activities for course C
13Moedritscher F.: E-Learning Theories in Practice ...
Page 12
hidden
In course C, the teacher’s activities were about half of the ones carried out by the 12
students (1773 vs. 3162 activities). Having a look on the distribution of the activities
in this course (see Figure 3), the peaks of the activities are distributed over the whole
course, and the deadlines (13th May and 2nd June 2005) cannot be clearly identified.
Other events such as an extensive usage of the discussion group or course
announcements caused more activity in the course than the deadlines. Furthermore, in
this course the possibility was offered that only one of the three group members
posted the results of the first phase, while the other work was done offline.
Summarising the distribution of activities over the period of the e-learning
phase, the following statements can be put forward:
• The behaviouristic approach is characterised by a high degree of online
learning and teaching as well as clearly recognisable deadlines, as it is
obvious that most students prefer to finish a module as late as possible;
• The cognitive approach (including the usage of the WIKI module to enforce
students to work online) seems to cause a lot of work load for the students as
well as harder effort for the teacher;
• In contrast, the constructivistic approach is characterised by a fewer effort
for both the students and the teacher. The activities seem to be distributed
equally over the whole period;
• Generally, group works can be characterised by a better distributions of
activities. Besides, unbalanced workload can be identified much better if
students work in teams.
4.3 Concluding the Study
Finally, the concluding stage of the e-learning phase took the teacher about 5.5 hours,
which is distributed as shown in Table 4. The results of the ongoing assessment were
rather equal in each course due to a very moderate grading to keep the students
motivated. In fact, the results of the unannounced and demanding concluding exam
carried out in the classroom are more reliable and allow evaluating the effectiveness
of each course, which is strongly related to the students’ self-assessment of being able
to master the objectives (Table 3).
Table 4: Characteristics of the three courses for the concluding stage
Teacher’s activities and effort (* all courses alike) A B C
1. Assessment of learning process and grading ½ 2 1
2. Concluding exam and post-questionnaire 2* 2* 2*
Teacher’s overall effort 2 ½ 4 3
Further Characteristics
Results of the running courses’ assessment 78.1% 78.9% 79.9%
Results of the concluding exam 54.8% 37.4% 43.2%

Considering the effort for each course, it has to be stated that the most time-
consuming course for both the teacher and the students was course A. The teacher had
much more preparation effort, while the students had to invest a lot of time due to the
fact that they had to master the course on their own. Besides, only the teacher’s
14 Moedritscher F.: E-Learning Theories in Practice ...
Page 13
hidden
grading was fast and easy in this course due to the usage of Moodle’s quizzes module.
Course B demanded a fewer effort from both the teacher and students, even though
the grading was more complex. Since the students of this course spent a great amount
of time on the tasks, it was obviously not very effective to use the WIKI module for
extensive group works – the students considered themselves to be more concentrated
on the tool than on the learning content. Course C is characterised by the lowest effort
for all aspects except the grading of the group works. In contrary to course B, the peer
review task supported the teacher in grading.

Drawing conclusions from the students’ self-assessment of their effort (Table 3), their
online activities (Figures 1 to 3) and the results of the concluding exam (Table 4), the
students’ workload concerning the course’s topic seemed to be at a high level in
course A and at a medium level in course C. Although the students meant to spend a
lot of time on the tasks and had to use the platform more intensively in course B, the
achievement levels as well as the self-assessment of mastering the learning objectives
was relatively low. As a consequence, the overall educational strategy of this course
proved to be inefficient. Although the workload of the group tasks was certainly high,
the students focused too much on the system usage than on the learning content.

Summarising the questionnaire students had to fill out, course A was rated neutral, but
both positive remarks like “a good extension for a course” as well as negative
statements such as “missing explanations for more complex content” or
“disappointment about the online course” can be found. In contrary, course B was
pounced due to the usage of the WIKI module. Students of course C were neutral
about the e-learning phase, but gave a few negative remarks, such as “doubt on the
didactical model”, “hard effort” or “tasks too low-level”. It has to be said that this
course was less time-consuming for learners than the other two. The learning
materials were rated as neutral, while the e-learning platform was largely accepted by
the students. In particular, the usability of the system’s features (except the WIKI
module) was highlighted as good.
5 Conclusions
To sum up this study, the four assumptions made in the introduction of the paper can
be commented on in the following way:
• First of all, it is possible to implement an online course on a certain topic in
different ways, e.g. by following principles of the three learning theories. All
of these e-learning strategies can be considered as realisable in the area of
adult education;
• Secondly, each of the three courses varied in several aspects (such as the
effort, the effectiveness, the teaching and learning behaviours, the
acceptance, and so forth) within the stages of preparation, implementation
and conclusion for both the teacher and the students;
• Thirdly, the behaviouristic and the constructivistic approach showed better
results on effectiveness in teaching and earned a better rating from the
students;
15Moedritscher F.: E-Learning Theories in Practice ...
Page 14
hidden
• Finally, this study showed that the best efficiency of knowledge transfer
measured by the students’ achievement can be obtained through those tasks
that students have to complete on their own. It has to be noted that, although
the first phase of the constructivistic approach was intended to be a group
task, most members of the groups decided to work separately on parts of the
task and merge their results afterwards.

As a result of this study, the following advice can be given to instructional designers
of online courses. It is important to choose the appropriate e-learning strategy for
implementing an online course, e.g. by reusing a pre-defined didactical component
following a commonly-know learning theory. Within the scope of adult education, the
three e-learning strategies dealt with in this paper are realisable for a lecture which
mainly tries to address the cognitive domain. Nevertheless, important learning
objectives should be achieved by applying certain tasks which students have to master
on their own. From the didactical point of view, some kind of assessment is necessary
to enforce learning. Yet, it is not important whether the assessment is done by the
teacher or by the students themselves. Altogether, this study can be seen as a positive
example for implementing e-learning in the area of adult education.
Acknowledgements
I have to thank my employer, the Institute for Information Systems and Computer
Media (IICM) at Graz University of Technology, for arousing my interest in
hypermedia and e-learning as well as the Austrian ministries BMVIT and BMBWK
for funding my research work through the FHplus impulse programme. Furthermore, I
have to acknowledge the support of the Campus02 for offering me competencies and
the playground for this case study as well as the 38 students that had to participate in
this experiment.
References
[Ally 2004] Ally, M.: “Foundations of educational theory for online learning.” In Anderson, T.
& Elloumi, F. (Eds.): “Theory and practice of online learning”, Athabasca University,
Athabasca, 2004, pp. 3-31.
[Atkins 1993] Atkins, M.J.: “Theories of learning and multimedia applications: An overview”,
Research Papers in Education, 8(2), 1993, pp. 251-271.
[Bloom 1956] Bloom, B.S.: “Taxonomy of Education Objectives, Book 1: Cognitive Domain”,
Longman, New York, 1956.
[Boethel & Dimock 1999] Boethel, M. & Dimock, K.V.: “Constructing Knowledge with
Technology”, Southwest Educational Development Laboratory, Austin, 1999.
[Brennan 2003] Brennan, M.: “U.S. Corporate and Government eLearning Forecast, 2002-
2007”, International Data Corporation, 2003.
[Campus02 2005] Campus02: “Website”, Campus02, University of Applied Sciences, Graz,
2005, http://www.campus02.at (2005-10-22).
16 Moedritscher F.: E-Learning Theories in Practice ...
Page 15
hidden
[Cooper 1993] Cooper, P.A.: “Paradigm shifts in designing instruction: From behaviorism to
cognitivism”, Educational Technology, 33(5), 1993, pp. 12-19.
[Deubel 2003] Deubel, P.: “An Investigation of Behaviorist and Cognitive Approaches to
Instructional Multimedia Design”, Journal of Educational Multimedia and Hypermedia, 12(1),
2003, pp. 63-90.
[Dietinger 2003] Dietinger, T.: “Aspects of E-Learning Environments”, dissertation, Graz
University of Technology, Graz, 2003.
[Duffy & Cunningham 1996] Duffy, T.M. & Cunningham, D.J.: “Constructivism: Implications
for the design and delivery of instruction.” In Jonassen, D.H. (Ed.): “Handbook of Research for
Educational Communications and Technology”, Simon & Schuster Macmillan, New York,
1996, pp. 170-198.
[Gunawardena & McIsaac 2004] Gunawardena, C.N. & McIsaac, M.S.: “Distance education.”
In Jonassen, D.H. (Ed.): “Handbook of Research on Educational Communications and
Technology” (2nd ed.), Lawrence Erlbaum Associates, Mahwah, 2004, pp. 355-395.
[Hooper & Hannafin 1991] Hooper, S. & Hannafin, M.J.: “The effects of group composition on
achievement, interaction, and learning efficiency during computer-based cooperative
instruction”, Educational Technology Research and Development, 39(3), 1991, pp. 27-40.
[Keller & Suzuki 1988] Keller, J.M. & Suzuki, K.: “Use of the ARCS motivation model in
courseware design.” In Jonassen, D.H. (Ed.): “Instructional design for microcomputer
courseware”, Lawrence Erlbaum Associates, Hillsdale, 1988, pp. 401-434.
[Kolb 1984] Kolb, D.A.: “Experiential learning: Experience as the source of learning and
development”, Prentice-Hall, Englewood Cliffs, 1984.
[McLeod 2003] McLeod, G.: “Learning Theory and Instructional Design”, Learning Matters, 2,
2003, pp. 35-43.
[Merrill 2001] Merrill, M.D.: “Components of Instruction Toward a Theoretical Tool for
Instructional Design”, Instructional Science, 29(4), 2001, pp. 291-310.
[Meyer 1998] Meyer, R.E.: “Cognitive, metacognitive, and motivational aspects of problem
solving”, Instructional Science, 26(1-2), 1998, pp. 49-63.
[Mödritscher & Sindler 2005] Mödritscher, F. & Sindler, A.: “Quizzes are not enough to reach
high-level learning objectives!” In proceedings of the World Conference on Educational
Multimedia, Hypermedia & Telecommunications (ED-MEDIA 2005), AACE, Montreal, 2005,
pp. 3275-3278.
[Murphy & Cifuentes 2001] Murphy, K.L. & Cifuentes, L.: “Using Web tools, collaborating,
and learning online”, Distance Education, 22(2), 2001, pp. 285-305.
[Myers 1978] Myers, I.: “Myers-Briggs type indicator”, Consulting Psychologists Press, Palo
Alto, 1978.
[Noble 2001] Noble, D.: “Fool’s gold: Digital diploma mills, Part V”, 2001,
http://communication.ucsd.edu/dl/ddm5.html (2005-10-22).
[Oblinger & Hawkins 2005] Oblinger, D.G. & Hawkins, B.L.: “The Myth about E-Learning”,
EDUCAUSE, 2005, http://www.educause.edu/ir/library/pdf/erm05411.pdf (2005-10-22).
[Paivio 1990] Paivio, A.: “Mental representations: A dual coding approach”, 2nd ed., Oxford
University Press, Oxford, 1990.
17Moedritscher F.: E-Learning Theories in Practice ...
Page 16
hidden
[Park et al. 1987] Park O., Pérez, R.S., & Seidel, R.J.: “Intelligent CAI: Old wine in new bottles
or a new vintage?” In Kearsley, G. (Ed.): “Artificial intelligence and instruction: Applications
and methods”, 2nd ed., Addison-Wesley, Boston, 1987.
[Sindler 2005] Sindler, A.: “Einführung von Fernstudienelemente am Campus02”, internal
project report, Campus02 University of Applied Sciences, Graz, 2005. (in German).
[Skinner 1974] Skinner, B.F.: “About behaviorism”, Knopf, New York, 1974.
[Witkin et al. 1977] Witkin, H.A., Moore, C.A., Goodenough, D.R., & Cox, P.W.: “Field-
dependent and field-independent cognitive styles and their educational implications”, Review
of Educational Research, 47, 1977, pp. 1-64.
18 Moedritscher F.: E-Learning Theories in Practice ...

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Already have an account? Sign in

Readership Statistics

7 Readers on Mendeley
by Discipline
 
 
by Academic Status
 
29% Ph.D. Student
 
14% Student (Bachelor)
 
14% Student (Master)
by Country
 
14% Austria
 
14% United Kingdom
 
14% Australia