Evaluating the Effectiveness of an ODL Hypermedia System and Courseware
at the National Technical University of Athens: A Case Study
Vassilis Makrakis
(University of Crete, Greece
makrakis@softlab.ntua.gr)
Symeon Retalis
(National Technical University of Athens,
retal@softlab.ntua.gr)
Anastasios Koutoumanos
(National Technical University of Athens,
tkout@softlab.ntua.gr)
Nikos Papaspyrou
(National Technical University of Athens,
nickie@softlab.ntua.gr)
Manolis Skordalakis
(National Technical University of Athens,
skordala@softlab.ntua.gr)
Abstract: The main purpose of this paper is to test a conceptual
framework for the evaluation of the effectiveness of an open and distance
learning (ODL) hypermedia system (EONT-ODL system) and courseware developed
and trial used at the National Technical University of Athens (NTUA), Greece,
within the EONT project. EONT is a partnership project between seven universities
from seven European Union countries within the Socrates Framework Program.
In this paper we deal with data elicited from the NTUA, since it was the
only partner institution which provided adequate data for quantitative
analysis. The evaluation framework is based on the assumption that ODL
hypermedia systems are complex systems with a variety of organisational,
administrative, instructional, and technological components. It has been
hypothesized that the effectiveness of the EONT-ODL system would be influenced
by a number of independent variables such as: design and presentation of
the courseware; previous experience; time spent on working through the
courseware; preference of mode of study; learning styles; interactions
with peers, instructors and means of communication. In this evaluation
research, two instruments integrated into one questionnaire for data collection
were developed: the first was based on a number of standardized questions,
reflecting the previously stated theoretical framework and the second on
a number of open-ended questions, reflecting, likes and dislikes, added
value, problems identified, suggestions etc. The regression analysis indicates
that the `design and presentation of instructional material' alone explained
almost 28% of the EONT- ODL system's effectiveness (R2 adj.=
.278). The preferred `mode of study' entered second by adding 11% (R2
ch.=.113) of the effectiveness variance and finally students interactions
with the instructor increased the effectiveness explained variance to 48%,
a quite high percentage accounted for three significant predictors alone.
All the other predictors, that is, previous experience with computers,
time spent working with the EONT-ODL courseware, student learning styles,
and interactions among students and communication means (e-mail and
computer conferencing) did not significantly contribute to the prediction
of the effectiveness measure. These quantitative results are complemented
by the qualitative conclusions.
Key Words: Evaluation, Open and Distance Learning systems, Hypermedia
Courseware,
1. Background and Objectives
The Software Engineering Laboratory (Softlab) of the Electrical and
Computer Engineering Department of the National Technical University of
Athens (NTUA), Greece, offers an introductory course is Software Engineering
targeted primarily to ninth semester students. Since 1996, the course components
were: lectures, discussions, projects and text-based study material. It
had been evidenced, however, that the percentage of students attending
this course was less than 60 percent, mainly due to students' engagement
in employment. A needs analysis for this course also revealed that the
traditional mode of teaching faces major problems [Koutoumanos
et al., 1996], such as:
- It was difficult for students to ask questions and receive answers
outside of the instructor's appointed office hours.
- There was low interaction in classroom. Students often preferred not
to ask questions in the classroom because they felt shy or that their questions
might sound silly.
- The curriculum of the course was changing so rapidly that textbooks
became quickly obsolete.
Having identified these problems, the Softlab research team started
looking for remedies. It was discussed that the merger of the open distance
learning (ODL) methods with new information technologies, such as the Internet
and the World Wide Web (WWW), might contribute to the solution of the identified
problems. A literature search revealed that providers of university education
today are faced with the challenge of building an education system which
could meet the current and future needs of society [Ford
et al., 1996]. In this effort, open and distance learning (ODL), in
particular based on hypermedia and computer networks, has witnessed an
increased development, acceptance and recognition as an innovative and
productive delivery mode of instruction and learning [Kaye,
1991]; [McConnell, 1991]; [MCConnell,1994];
[Riel & Harasim, 1994]; [Hiltz,
1995]. Indeed with the advent of the Internet, the WWW, and the accompanying
WWW browsers, the provision of ODL courseware has taken on a whole new
dimension [Maddux, 1996]; [Makrakis,
1996]; [Marshall & Hurley, 1996]. These technologies
can be used in various ways for the implementation of learning systems
in ODL.
One such learning system, the EONT-ODL system, was developed by the
Softlab research team and is depicted in Fig. 1 [Koutoumanos
et al., 1996]. In this system the course instructional material refers
to courseware in hypermedia format on the introduction to software engineering
which is stored in a server computer and accessed by the learners through
multimedia client computers connected to the server via a computer network.
The heart of the EONT-ODL system is the hypermedia system HyperWave [Maurer,
1996].

Figure 1: Schematic view of the EONT-ODL learning environment
to be used in the experiment.
This learning system has been used in the EONT project [Papaspyrou
et al. 1996]. EONT was a partnership project between seven universities
from seven European Union countries within the Socrates Framework Program.
Two of these universities were Distance Learning, whereas the rest were
conventional. The partnership was formed on the basis of the partners'
common interest in experimenting with ODL using new information and communication
technologies with goals of investigating the effectiveness of these technologies.
The project started on December 1st, 1995, and has been completed in two
years (September 1997). The project partners, however, continue developments
on a voluntarily basis. For the purpose of the experiment, each partner
developed multimedia instructional material within the domain of Informatics
as shown in Table 1, by adopting a common courseware engineering methodology
[Retalis 1997]. The language of each course was both
the native language of the associated partner (native version) and English
for the international version. The national version had been offered once
during the second year (1996/97) of the project and would have also been
offered once during the third year. The international version would have
also been offered during the third year, as a means of providing learners
in one partner's country with access opportunities to the course instructional
material of the other partners. However, the application for third year
funding by the European Union was rejected.
Table 1: Courses offered.
Partner Course content Language
P1 Introduction to Software Engineering Greek (GR)
P2 Hypermedia Systems German (DE)
P3 User Interface Design and Development English (EN)
P4 Multimedia Dutch (NL)
P5 Introduction to the Unix Operating System Norwegian (NO)
P6 Elementary Course in Mathematics French (FR)
P7 Software Engineering for Distributed Systems German (DE)
To assess whether the goals set for the project were achieved, both
formative and summative evaluation activities were conducted. These undertakings
were considered as integral parts of the whole development and implementation
process, since they provide valuable insights and feedback to the development
team for necessary changes and additions.
In this paper, we deal with data from summative evaluation elicited
from NTUA, since it was the only partner institution which provided adequate
data for quantitative analysis. Two basic evaluation research questions
guided the summative evaluation activities of the project:
- Is the EONT-ODL system effective for delivering university courses
either supplementary to the face-to-face, traditional university courses,
and/or independently?
- Which variables are associated with and explain or predict either good
or poor outcomes in this new teaching and learning system?
2. Theoretical Framework
ODL systems have increasingly come to be viewed as complex systems with
a variety of organisational, administrative, instructional, and technological
components. As such, ODL systems are dynamic in nature and any change in
one component of the system has effects on all others. While there is a
consensus that ODL systems consist of multiple interrelated components,
there are few evaluation instruments that document these components holistically
or study their relationship to the effectiveness of the whole system of
which they are a part. In most evaluation studies, the question in focus
concerns the comparative effectiveness of various types of ODL systems
as instructional
delivery modes to traditional modes [e.g. Hartley,
1994]; [Hiltz, 1995] rather than the innovation
of the delivery mode itself and the factors which may contribute to its
effectiveness. Effectiveness in this study was conceptualized as being
related to a multiple measurement index consisting of cognitive and attitudinal
outcomes.
Research shows that the effectiveness of hypermedia is constrained by
two important factors: first, the design of the user interface, and second,
the motivation and expertise possessed by the users [Reeves,
1992]. It has been also argued that the more valuable variables in
evaluation research are those concerning the learner characteristics and
numerous others, including instructional material design, pedagogy as well
as content variables [Moore & Kearsley, 1996]. The evaluation of learning
design in hypermedia courseware can involve a range of different dimensions
of interest. Barker and King (1993) have developed
a basic set of categories by which instructional software could be evaluated,
such as mode and style of interaction, learning styles, adequacy of ancillary
learning support tools, outstanding strengths, and attractive features.
Marshall and Hurley (1996) have also included frequency
of computer and ODL online courseware use as important variables in evaluating
online ODL systems.
Moreover, for hypermedia-based learning, a dimension particular to the
characteristics of hypermedia must be added to the evaluation design. This
dimension includes variables related to the process of learning affected
by access, learner control, and collaboration [Nielsen,
1990]. It would also be difficult and probably futile to evaluate ODL
hypermedia courseware outside the context of its use. McDougall
and Squires (1995) argue that the use of courseware can only be evaluated
by considering the use of a package in particular learning situations.
This requirement poses an inherent problem for predictive evaluation where,
by definition, the evaluation is conducted out of context. McDougall and
Squires propose a situated approach to predictive evaluation. This approach
generates context specific evaluation issues by considering the interactions
between the three principal actors associated with the development and
use of educational software -- the teacher, the designer, and the students.
All these actors have been considered in the formative evaluation undertakings.
In the summative part presented here, the parameters that were used
to evaluate the EONT-ODL system and courseware were determined by a combination
of the usability of the hypermedia system, the usability of the content
and structure of the hypermedia courseware, the effects of the courseware
and the learning processes involved on the user, and by how well these
three components fit together. More specifically, it has been hypothesized
that the effectiveness of the EONT-ODL system would be influenced by a
number of independent variables such as:
- design and presentation of the instructional material;
- previous experience;
- time spent on working through the courseware;
- preference of mode of study
- learning styles
- interactions with peers, instructors and means of communication.
The analysis of the data provided by end-users will feed designers and
instructors with
valuable interventions.
3. Research Methods
Contemporary perspectives of evaluation range from absolute ''measurement``
to a completely relativistic ''constructivistic`` perspective [Shadish,
Cook and Leviton, 1991]. Effective evaluation should encompass both
the empirical-analytic (measurement) and naturalistic (constructivistic)
paradigms [Guba & Lincoln, 1981]; [House,
1991]; [Makrakis, 1997]. This view of evaluation
enquiry is significant for the study of technology in ODL since many of
the issues and questions which need to be addressed cannot be answered
by the empirical-analytic paradigm alone, nor can they be answered by assessing
individual ODL in isolation from the broader context [Dillon
& Gunawardena, 1992], [Makrakis, 1996]. In
the present evaluation research, two instruments integrated into one questionnaire
for data collection were developed: the first was based on a number of
standardized questions, reflecting the previously stated theoretical framework
and the second on a number of open-ended questions, reflecting, likes and
dislikes, added value, problems identified, suggestions etc.
3.1 Subjects
The total number of students from the NTUA which responded to the evaluation
study reached 50 (15% women and 85% men) out of the 61 registered in the
course. Of these students 4% indicated that they were computer novices,
30% had good experience, 44% had very good experience and 22% had professional
experience. In terms of time spent working with the EONT-ODL system, 48%
spent less than one hour , 38% from 1 - 2 hours, and 14% from 3 - 4 hours
per week.
3.2 Research Instruments
Most of the main variables in this study are measured by multiple items,
each measuring a slightly different aspect of the main variable. In building
composite measurement scales, items included were first scrutinized for
`face validity'. After the data were collected, the validated items in
each composite variable were subjected to a Cronbach's Alpha reliability
analysis for internal consistency of the instrument. In arriving at the
final composite measurement indexes, every item which substantially lowered
the Alpha coefficient was omitted and a new analysis was conducted in order
to arrive at an index which had the highest possible reliability measure.
The summary statistics of the item analysis for homogeneity and reliability
indices, shown in Table 2 , indicate that the `effectiveness measurement'
reached a very high alpha coefficient (a= .93), retaining all the 23 intended
items. These items included dimensions of cognitive and attitudinal outcomes.
The `design of instructional material' composite variable retained seven
out of the ten intended items with a reliability a= .82. The items retained
covered issues of content, coherence, presentation, objectives, and structure.
The preferred `mode of study' composite variable retained all the five
intended items
with a reliability a=.81 and measured the comparative outcomes of the
traditional mode of teaching and the EONT-ODL mode. All composite variables
were measured by a five-point Likert-type scale, where 1 was coded as the
lowest value and 5 the highest. Learning styles were measured by a number
of variables which reflected three main dimensions: collaboration, innovation,
and systematicity. The first refers to those who value more group-based
course interactions, the second to those who value the challenge of something
new and different and the third to those who value the formality of setting
specific goals, plans, and detailed procedures. The interactions among
peers, instructors, and means of communication included measurements of
the frequency of using means such as e-mail, computer conferencing, and
frequency of meetings among students and with instructors.
Table 2. Reliability of Items in the EONT-ODL Effectiveness Scale
ITEM-TOTAL STATISTICS
FOR EONT-ODL EFFECTIVENESS SCALE
ALPHA IF ITEM
DELETED
The EONT-ODL system increased my .92
knowledge and skill on the subject matter.
The EONT-ODL system created a new and .92
innovative learning environment.
The EONT-ODL system helped me to cope .92
with the demands of the course.
The EONT-ODL system widen communication .93
with the instructor and other students.
The EONT-ODL system relieved some of the .93
physical constraints at attending regularly
face to face lecturing.
The EONT-ODL system allowed me to pursue .93
learning experiences in a self-directed way.
The EONT-ODL system increased the potential .92
to pursue collaborative project work with other students.
The EONT-ODL system increased my interest in .93
the subject matter.
The EONT-ODL system increased the potential to .92
gather, send and receive information.
The EONT-ODL courseware developed my problem .92
solving skills.
A variety of learning experiences was provided .93
through The EONT-ODL mode of teaching.
The EONT-ODL system gave me sufficient .93
opportunity to utilize my personal experience.
The design of The EONT-ODL courseware allowed me .93
enough freedom to choose where, when and how to study.
The EONT-ODL courseware links to activities in the .92
classroom.
The EONT-ODL courseware encouraged me to .93
participate actively in normal class activities
with other students.
I have sufficient opportunity to demonstrate what I have .92
learned in the subject through The EONT-ODL system
of teaching.
The EONT-ODL courseware required me to synthesize .93
and put together ideas.
The EONT-ODL system teaching stimulated me to .92
communicate more with other students in the class.
The EONT-ODL courseware required me to evaluate .93
using my judgment and intuition.
The EONT-ODL courseware required me to apply what .93
I have learned .
The EONT-ODL courseware required me to understand .92
concepts and ideas.
The EONT-ODL system of teaching effectively .92
stimulated my interest in the subject matter.
The EONT-ODL courseware motivated me for more .93
study on the subject matter.
RELIABILITY COEFFICIENTS 23 ITEMS
ALPHA= .93
Table 3. Reliability of Items in the Preferred Mode of Study
and Courseware Design Scales
ITEM-TOTAL STATISTICS
FOR PREFERRED MODE OF STUDY SCALE
ALPHA IF ITEM
DELETED
The EONT-ODL mode proved to be more beneficial than .77
conventional way of lecturing.
The EONT-ODL mode has made me to prefer learning .75
from this mode even when the same teaching is given
in other ways.
I found The EONT-ODL mode of teaching to offer better .75
experiences than conventional way of lecturing.
The EONT-ODL mode was more pleasant than conventional .78
way of lecturing.
The EONT-ODL mode of teaching was more convenient than .81
conventional way of lecturing.
RELIABILITY COEFFICIENTS 5 ITEMS
ALPHA= .81
ITEM-TOTAL STATISTICS
FOR COURSEWARE DESIGN SCALE
The aims and objectives of the EONT-ODL system were clear. .76
The courseware included in the EONT-ODL system explained
things clearly. .76
It was easy to find out hat was expected in the EONT-ODL system. .79
The assignments on the EONT-ODL courseware were appropriate to the
learning objectives. .82
The components of the EONT-ODL courseware linked well together. .78
The EONT-ODL courseware was presented in an attractive way. .80
The sequence of units/blocks in the EONT-ODL courseware is logical .82
and well structured.
RELIABILITY COEFFICIENTS 7 ITEMS
ALPHA= .82
3.3 Data Analysis
The analysis of the structured part of the questionnaire was based on
univariate and multivariate statistical analysis and the open-ended part
on qualitative content analysis. All appropriate tests for examining whether
these variables fulfill the conditions for undertaking a regression analysis
were conducted (e.g. normality, multicolinearity). These tests showed that
all requirements were attained.
4. Evaluation Results
The regression analysis shown in Table 4, indicates that the ''design
and presentation of instructional material`` alone explained almost 28%
of the EONT-ODL system's effectiveness (R2 adj.= .278). The
preferred ''mode of study`` entered second by adding 11% (R2
ch.=.113) of the effectiveness variance and finally students interactions
with the instructor increased the effectiveness explained variance to 48%,
a quite high percentage accounted for three significant predictors alone.
All the other predictors, that is, previous experience with computers,
time spent working with the EONT-ODL courseware, student learning styles,
and interactions among students via communication means (e-mail and computer
conferencing) did not significantly contribute to the prediction of the
effectiveness measure.
The qualitative results complement the quantitative conclusion that
the ''design of courseware`` and ''preferred mode of study`` are the most
significant predicting variables for effectiveness. It is also important
to note that the reason why ''previous computer experience`` had not accounted
anything significant to the system's effectiveness, may be because most
of the end-users had similar computer skills. Also
the time spent on the EONT-ODL system was very little to produce any
significant impact on the EONT-ODL system's effectiveness. As revealed
by the content analysis of the open-ended research questions, this might
be caused by the difficulties in accessing the system outside the Softlab,
mainly due to the lack of sufficient telecommunication lines available.
Although the quantitative analysis shows that learning styles did not
contribute significantly to the effectiveness of the system, the content
analysis of the responses provided by open-ended questions revealed a number
of patterns, concerning the degree students' learning styles have been
affected as a result of their experience with the EONT-ODL courseware delivery.
It has been found that the great majority of the students revealed that
the EONT-ODL system, despite of problems identified, had positively affected
their study patterns, especially as it concerns the independence of learning
and the deeep-level and fast level of information processing provided through
this system. In the later way, students are required to take an active
involvement in the acquisition and development of knowledge. In the former
way, students are required to be more analytic and field independent. These
ways seem to be affected by the flexibility provided by the EONT-ODL system
in terms of time, place, and pace of instruction and learning, the high-tech
design of lessons, and the searching facilities integrated in the EONT-ODL
system.
In general, the average score of the effectiveness measurement was 3.25
on the five-point Likert scale, where 5 was coded as the highest subjective
effectiveness perceptions and 1 the lowest. This is relatively high considering
that the EONT-ODL system developed was at its first version. The `design
of instructional material' factor reached an average score of 3.25 of the
same scale, which shows a close correspondence with the effectiveness score.
This implies that if design factors are improved, the effectiveness of
the EONT-ODL system and of instructional material will show higher effectiveness
score. The least score was found with respect to the preferred mode of
study (Mean=2.80). Student responses indicate that there is a slight disagreement
that the EONT-ODL system or mode of instruction is comparatively more preferred
than the traditional face-to-face course instruction. This is explained
by the attachment of students to more human-centred modes of instruction
and secondarily on problems related to the administration, design, and
development of EONT-ODL system.
5. Concluding Remarks and Recommendations
Generally, the results obtained from this evaluation research seemed
to suggest that the quality of courseware design is of considerable importance
in producing an effective Web-based ODL system. Similar results are reported
by [Barker and King 1993]. Well-designed and dynamic
(e.g. animation sequences, motion, and sound) interfaces must be provided
to optimize the effectiveness of an ODL courseware, both in terms of content
presented and the interactions supported by the system. The analysis of
the qualitative data also suggests that in any web-based ODL courseware,
designers and courseware developers should provide the maximum amount of
user control, integrate group-oriented or collaborative learning assignments,
use feedback
messages to reinforce performance, focus on the object-oriented programming,
incorporate case tools and material related to new trends in the field,
and provide diagnostic messages to correct errors. The integration of more
authentic tasks in the form of interactive examples, case studies, and
simulation was particularly stressed by respondents. Authentic tasks are
those that have real-world relevance and utility, that have inter-disciplinary
potential, that provide appropriate levels of complexity, and that allow
students to select appropriate levels of difficulty or involvement [Jonassen,
1991].
This evaluation research also suggests that the ODL system design should
be centred on the characteristics of the students, the courseware and the
nature of the learning task rather than on the underlying technological
platform. A number of suggestions were made for achieving this, such as:
including more interactive examples, assignments, animation, and exercises,
enriching the content with new material which should be presented in a
more analytical way, providing summaries at the end of each chapter, highlighting
the major aspects and key concepts, and providing better consistency of
the topics, especially by merging small units. The world of tomorrow will
be digital. It is certain that education will not remain unaffected by
this evolution. New technologies seem promising to be used effectively.
However, it is still difficult (and premature) to draw a firm conclusion
rather than a tentative one.
Table 4. Summary Statistics of Stepwise Regression Analyses
Predicting the EONT- ODL Effectiveness.
Equation Number 1 Dependent Variable.. EONT-EFFECTIVENESS
Variable(s) Entered on Step Number
1.. COURSEWARE DESIGN
Multiple R .52786
R Square .27864 R Square Change .27864
Adjusted R Square .26186 F Change 16.60967
Standard Error .48883 Signif F Change .0002
Analysis of Variance
DF Sum of Squares Mean Square
Regression 1 3.96902 3.96902
Residual 43 10.27520 .23896
F = 16.60967 Signif F = .0002
Variable(s) Entered on Step Number
2.. MODE OF INSTRUCTION
Multiple R .62587
R Square .39171 R Square Change .11307
Adjusted R Square .36274 F Change 7.80676
Standard Error .45420 Signif F Change .0078
Analysis of Variance
DF Sum of Squares Mean Square
Regression 2 5.57956 2.78978
Residual 42 8.66465 .20630
F = 13.52284 Signif F = .0000
Variable(s) Entered on Step Number
3.. MEETINGS WITH INSTRUCTOR
Multiple R .69689
R Square .48565 R Square Change .09394
Adjusted R Square .44802 F Change 7.48857
Standard Error .42272 Signif F Change .0091
Analysis of Variance
DF Sum of Squares Mean Square
Regression 3 6.91773 2.30591
Residual 41 7.32649 .17869
F = 12.90418 Signif F = .0000
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
DESIGN .458597 .102515 .502194 4.473 .0001
MODE .253850 .089183 .320009 2.846 .0069
MEET WITH INSTR .127335 .046532 .307003 2.737 .0091
(Constant) .581848 .434064 1.340 .1875
Acknowledgements
The project EONT is partially funded by the European Commission's SOCRATES
Program. Its reference number is TM-OP-1995-1-GR-88(1/1). (URL address:
http://hyperg.softlab.ntua.gr/EONT)
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