Inside Online Learning:
Comparing Conceptual and Technique Learning Performance in Place-based and ALN
Formats
Drew
Parker
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Faculty of Business Administration
Simon Fraser University
8888 University Drive
Burnaby, British Columbia
Canada V5A 1S6
Phone: 1-604-291-3102
Fax: 1-604-291-5738
drew@sfu.ca
Andrew Gemino
Assistant Professor of Information Technology
Simon Fraser University
8888 University Drive
Burnaby, British Columbia
Canada V5A 1S6
Phone: 1-604-291-4991 Fax: 1-604-291-4920
gemino@sfu.ca
Abstract
Online learning is coming of age. 'Traditional' universities are embracing
online components to courses, online courses, and even complete online
programs. With the advantage of distance and time insensitivity for the
learning process, there appears to be a growing sense that this form of
teaching and learning has strong pedagogical merit. Research has shown
that students do comparatively well in this new format. There is, however,
a lack of evidence illustrating particular
strengths and weaknesses of online teaching and learning. This paper
discusses experiences with a single course taught using two forms: (1)
traditional place-based, and (2) a form of asynchronous learning network
(ALN) defined as interactive virtual seminars. Differences in learning
performance are tested using longitudinal observations. In a course comprised
of both conceptual material and the application of techniques, the students
performed overall equally well in either place-based or virtual format.
Their degree of learning, however, differed significantly between conceptual
and technique-based material. Implications are promising, showing that
there are relative strengths to be exploited in both place-based and virtual
formats.
Keywords
Comparison, E-Learning, Learning Theory, Longitudinal Experiment
I. Introduction
The Internet changed everything. Post-secondary education was traditionally
offered as a place-based, classroom-oriented phenomenon, with 'distance
education' available as a correspondence option. Since the revolution
of email and the world wide web in 1994, universities have changed dramatically
in pedagogical structure, embracing telecommunications-enabled teaching
and learning opportunities. This radical change, begun by 'evangelists'
who simply believed there could be a new way to teach and learn, has been
followed by evaluative research, anecdotal evidence, and experimentation
suggesting that alternative learning environments could provide comparable,
even preferable, learning outcomes [3].
While evidence is encouraging for proponents of ALN, the results are preliminary
and there remains much to be learned. This paper discusses the comparison
of a course offered in two formats that alternated between a traditional
place-based and an ALN format over a four-year period. Identical material
and grading instruments were offered across the two formats providing
an opportunity to examine differences between the two formats. The findings
illustrate that students provide similar overall learning performance
scores from either format. They do not, however, develop skills in the
same way. These results suggest two key conclusions. First, different
formats give significantly different results when comparing the learning
of conceptual material and the ability to apply techniques. Second, purely
ALN-based courses and place-based offerings could benefit from further
research into the effectiveness of alternative learning approaches.
II. Background: Course History
The course outlined in the study is a 3rd year Business Administration
course which teaches elements of Systems Analysis and Design to (mostly)
declared Business majors taking either an Accounting or a Management Information
Systems specialization. The course was considered for adaptation to an
ALN format in 1995 due to a perceived fit between demand and methodological
possibilities. Many of the students who take this course are co-operative
education students who expressed interest in taking one course during
a co-operative work term, but didn't want to spend the time commuting
weekly to a university campus located outside of the downtown core. Additionally,
the material outlined appeared, heuristically, to be a good fit for an
attempt at an online offering.
The course was first offered in a completely online format in the Spring term
of 1996. The instructor offered two sections per year, one place-based
the other as an ALN. The ALN was formed as a 'virtual seminar,' where
students take the course completely online in the standard 13-week term.
Topics are covered weekly with assignments due in the same time frame
as the place-based format and a final examination during the regular exam
period. The student grades in the online format were equivalent to those
of earlier place-based formats, so the decision was made to continue to
offer this course online once out of three annual offerings. Other than
routine checks of final grade distribution, no distinct experimental measures
were made on the course. The evaluative instruments, namely assignments,
tutorial exercises, and examinations were identical in format for either
treatment.
The course has two distinct objectives. First, the nature and importance
of the role of a systems analyst needs to be understood. Included in this
understanding is the nature of the process of the analysis and design
of information systems, audit and quality control approaches, and procedural
fit within an organizational unit. This material is abstract and conceptual
in nature. The second objective is to provide students with experience
in the use of technical tools used by a systems analyst, such as Data
Flow Diagrams, Entity-Relationship Diagrams, and tools in the Unified
Modeling Language (UML). This material is focused on developing students'
ability to apply specific techniques. The course design followed
a cognitive flexibility approach, where students were provided with background
material through advanced readings and then applied these concepts in
situations meaningful to them [9].
The first offering of the course in an ALN format was in the Spring term
of 1996. Technology itself offered a significant challenge, but the course
progressed and met expectations of both faculty and students. Preliminary
feedback was anecdotal, but indicated that different parts of the course
were both stronger and weaker for one treatment over another. A first
positive outcome was noted very early on, in that the ALN format facilitated
significantly greater opportunities for student participation and communication
in the weekly discussion. For example, if 50 students were expected to
contribute a weekly comment that would require approximately 10 minutes
of class discussion, there was an opportunity to require the equivalent
of 500 minutes discussion per week when total face-to-face meeting time
in the synchronous format was only four hours, or 240 minutes. These 500
minutes were also exclusive of the lecture material. This also enabled
considerable socialization among the students, the opposite of the anticipated
result. For further discussion of this finding, see [8].
A further result was a perception by the instructor that the techniques
were considerably more difficult to teach. This perception was supported
by student feedback, where they expressed less confidence in their abilities
to deal with the techniques, yet greater confidence in their overall understanding
of which technique should be used and why these techniques
were appropriate.
General feedback from the students confirmed these differences. The ALN
format naturally lent itself to rich discussions of the conceptual material.
Teaching in this format required considerably more effort on the instructor's
part to communicate the technique-oriented material. Further, the students
anecdotally expressed a greater lack of confidence in their ability to
master techniques than witnessed in the synchronous, face-to-face group.
The results observed from the ALN course were not inconsistent with results
reported in other studies ([2]; [3];
[4]). Discussions of the course material kept leading,
however, to a sense of differing strengths of place-based and ALN approaches.
These strengths appeared to focus on the student's ability to handle conceptual
material related to the course versus applying techniques. It was these
discussions that led to the development of the theoretical framework described
in the next section and research question driving the empirical analysis.
III. Theoretical Framework
Mayer's learning process model provides the basis for the theoretical
framework used in the study [5]. While Mayer's model
was designed to describe the learning process in particular situations,
we believe it can be extended to the larger task of course design and
delivery. This model is extended later in this paper by further refining
the "presentation method" construct. Mayer's original model is provided
below in Figure 1.
Figure
1: Components of Mayer's Learning Model
A brief description of the model begins with the material to be learned. In our study, the material to be learned would
be the content of the course. In particular we separate the content into
two areas: conceptual material and the application of technique. We will
show that an important difference between place-based and virtual seminars,
in our study, is the different levels of conceptual and technical learning
that occurs within groups.
The material must be presented to someone for learning to take place.
The learner characteristics
include attributes of individual learners such as ability, skill, and
motivation. These characteristics will influence the learning process,
and eventually, the learning performance as measured by performance tests.
The material to be learned is then presented using some sort of method.
The method is described in more detail below. 'Prior knowledge may be
given at the outset through instructional or text-based overviews, but
these serve primarily as advance organizers for the acquisition of richer
layers of meaning to come' [9]. A result of the process
is the learning outcome. The
learning outcome is not directly measurable, however, so we rely on measuring
the learning performance. While
the performance is not observable, the test scores relating to that learning
performance are measurable.
The method(s) used to present material to the learner is called the presentation
method. In Mayer's research ([5]; [6]),
the presentation method is the treatment variable. One group is provided
with text, the other group with text and an additional resource (diagram,
animation, or narration). For particular tasks that can be well controlled,
the presentation method can be seen as one construct. When considering
the wider task of course design and delivery, however, the presentation
method must be separated into several constructs.
We argue that the presentation method can be split into two constructs:
Presentation Format and Learning Approach. The Presentation Format describes the dissemination of material to be
learned. There are four dimensions included in the Presentation Format
of a course. These dimensions describe by whom, where, when, and how the
material is presented. For a place-based course, the format is described
as a teacher presenting both visual and verbal information to students
who are located in the same room at the same time as the teacher. Virtual
seminars, on the other hand, are presented by the teacher using primarily
visual information and do not necessarily require teacher and students
to be available in the same time and same place. These differences
are summarized below in Table 1:
Table 1: Dimensions in the Presentation Format Construct
|
Format
|
Who Presents the Material?
|
Where is Material Presented?
|
When do students view the Material?
|
How is the Information presented?
|
|
Place-based
|
Teacher
|
Classroom
|
Same time as teacher
|
Visually and Verbally
|
|
Virtual Seminar
|
Teacher
|
Web Page
|
Different time than teacher
|
Visually
(Text, Exhibits and Diagrams)
|
Note that Table 1 above describes two formats for a single learning task,
namely the delivery of lecture material. It is important to note that
this model should be used to describe or compare the delivery of only
a single learning task in a course. A learning task such as a virtual
'lecture' should not be combined with other tasks such as assignments,
feedback, virtual office hours, or exams. Instead, each of these tasks
should be treated separately so that different formats and material to
be learned can be considered.
Since we are considering a single learning task, it is important to situate
the task in the learning environment. The Learning Approach construct
does this by enabling the consideration of the reasons behind the learning
task. There are several examples of learning approach. Two of the most
frequently used are cognitive flexibility [9] and problem
integration [7].
The Learning Approach is important because courses with the same material
to present, using the same Format (for example place-based) might yield
significantly different learning performance outcomes if different approaches
are used. Since the Learning Approach can impact learning performance
independent of the material to be learned and format used, it is an important
construct in the model. The revised model of the learning process is provided
below in Figure 2.
Figure 2: Revised Learning Process Model
One of the objectives in outlining this Learning Process Model has been
to provide a clear and comprehensive indication of the choices that teaching
professionals face when designing and delivering courses. Having developed
the model we suggest that course development requires the serious consideration
of four primary constructs: (1) What is the material to be learned, (2)
What approach to learning will guide the design, (3) What is the best
format to present the material, and (4) What are the special characteristics
of learners that should be kept in mind.
Having outlined the model, it is important to note that the Learning
Process Model described above does not describe the entire learning environment.
The learning process described above has been abstracted from other influences.
In the real world, the learning process is situated in a learning environment
that is subject to a large number of influences. Hiltz et. al.
[3] provide a comprehensive list of these factors including
technology, instructor skill and effort, student motivation, class size,
and equipment access. These factors are important considerations in the
development of any course. Any empirical study of alternative formats
or learning approaches should consider these factors carefully.
IV. Research Question
The Learning Process Model discussed above provides a framework for the
analysis of learning performance associated with alternative course designs.
Our previous discussion relating to course history suggested an opportunity
for comparing two alternative designs. Consistent with previous findings
([2]; [4]), we hypothesize no significant
difference in terms of overall score between the two formats.
HA: There is no difference in overall results of a comprehensive
final examination between a course offered in an ALN format or Place-Based.
Anecdotal evidence, however, pointed toward a higher level of conceptual
learning and a lower ability to apply techniques for students in the ALN
offering. Taken together these suggest a possible empirical test
of the conceptual and technique learning associated with place-based and
virtual seminar formats. As previously stated, the virtual seminars allowed
for a richer communication environment. Students had the opportunity of
considerably more input and dialog, and were expected to contribute to
a discussion much richer than that available in a 240 minute weekly place-based
meeting of 50 to 70 students. Since cognitive flexibility can be described
as the layering of meaning over basic understanding of a situation [1],
the level of dialog would imply a greater situational understanding. This
leads us to the following hypothesis
HB: Students taking a course in ALN format will have significantly
higher scores on conceptual understanding than those taking the same place-based
course.
The second factor under study, namely the application of technique, could
also be explained by considering the learning environment. Mayer [7] describes
various methods for teaching and learning. A particular technique, along
with its approach for standardized application, could best be thought
of as an analog. 'An analog is a problem that contains a similar
structure but not necessarily the same story line as another problem,
that is, an analog has structural similarity but not surface similarity
with a target problem' [7]. The place-based version of the course
included structured tutorials where problems were postulated and discussed
with considerable hand waving, iterative technique development and application,
and repeated problem solving. The learning process was spontaneous, visual
and interactive, methods that present a somewhat daunting challenge for
an online offering. Replacing place-based learning environments with an
online step-by-step explanation for self study would, assumedly, lose
some of the richness of the learning process itself. This leads to the
final hypothesis:
HC: Students taking a course in ALN format will have significantly
lower scores on technical ability than those taking the same place-based
course.
V. Method
Our empirical analysis consists of a longitudinal exploratory study of
final exams grades associated with students taking an undergraduate system
analysis and design class (BUS 362) at Simon Fraser University. Five semesters
worth of data gathered from the fall of 1996 to the summer of 2000 was
included in the study. In two of these semesters, the course was run as
a placed-based course with 13 weekly 3-hour lectures and weekly one-hour
tutorials in a computer lab. The placed-based courses were supported with
a course web page containing lecture notes and supplementary information.
In the remaining three semesters, the same course material was offered
virtually. The "FirstClass"
conferencing system was used to provide areas for discussion and the same
web site used for the place-based course was used to support the ALN class.
Lecture notes were altered from place-based offering and written in a
more narrative style in order to provide a wider perspective to students
taking the ALN format.
The content covered in the lecture notes remained constant throughout the period.
The same instructor taught all five sections. The material in the course
was altered only slightly from semester to semester.
A. Participants
All participants were third year undergraduate students in the Faculty
of Business Administration at Simon Fraser University. A total of 107
students received final exams grades for the two place-based offerings
(1996, 1999). The three ALN offerings (1997, 1999, and 2000) included
a total of 128 students. There were no dropouts from either the ALN or
place-based courses. No significant difference in class size or average
grade on final was found between groups as shown below in Table 2.
Table 2: Summary of
Variables Across Classes
|
Year
and Semester
|
Place-based
or ALN
|
Number
of Students
|
Average
Grade on Final
|
| 1996
– Fall |
Place-based |
53
|
74.1
|
| 1997
– Spring |
ALN |
46
|
77.7
|
| 1999
– Spring |
ALN |
54
|
76.9
|
| 1999
– Fall |
Place-based |
36
|
75.9
|
| 2000
– Spring |
ALN |
46
|
72.7
|
B. Data: The Final Exam
The final exam format was exactly the same across the five semesters.
The same amount of time to complete the exam was provided in all 5 sections.
There were no substantial differences in the types of material the students
were provided in the exam, and all students - place-based and ALN - wrote
the exam at the same time and in the same room.
Students in both formats had similar, identically structured evaluative
instruments. Included in their materials was a final examination designed
to test exactly what the two key learning objectives of the course were.
First, there were twenty-five short answer questions asking such conceptual
issues as 'Describe the relationship between a systems analyst and
a professional accountant during the various stages of the design and
implementation of a new information system.' While these questions
varied across the years, the level of difficulty, as judged by average
grades across years, was not significantly different. The second part
of the final examination was a short (two page) case describing a systems
design situation. The students were asked to apply their understanding
of the various techniques learned to the material described in the case.
While the case changed over the years, the difficulty, as judged by average
grades, was not significantly different. These examinations offered insight
into the effectiveness of longer term learning in each of the two areas
under study.
VI. Analysis
There were two sections in the test: one for conceptual and the other for technique.
The exam scores were compiled for each section and assigned marks were
divided by the total for each section. This provided the percentage assigned
to each section of the test. Multiplying this percentage by the weight
attributed to each section of the exam created the contribution of each
section to the final exam score.
The contributions of the conceptual, technique, and total scores were
then compared using One-Way ANOVA with the method of presentation (ALN
or place-based) as the treatment variable. One-way ANOVA is a robust
parametric technique that is appropriate in comparing means between one
or more groups when the sample size is relatively large (greater than
30). Means and standard deviations for the variables are provide below
in Table 3:
Table 3: Descriptives for Contribution of Conceptual and
Technique to Final Exam
|
Variable
|
Format
|
N
|
Mean
|
Std. Dev.
|
Min.
|
Max
|
|
Technical
Contribution to Final Exam Score
|
ALN |
128 |
37.0% |
5.24 |
22 % |
48% |
| Place-based |
107 |
41.0% |
6.62 |
25.5% |
47% |
| Total |
235 |
38.8% |
6.22 |
22 % |
48% |
|
Conceptual
Contribution to Final Exam Score
|
ALN |
128 |
38.1% |
4.95 |
24 % |
48% |
| Place-based |
107 |
34.5% |
5.70 |
24% |
47% |
| Total |
235 |
36.4% |
5.60 |
24% |
48% |
|
Combined Totals for Exam Score
|
ALN |
128 |
75.1% |
8.22 |
52% |
91% |
| Place-based |
107 |
75.5% |
8.82 |
49% |
97% |
| Total |
235 |
75.3% |
8.49 |
49% |
97% |
Results from the ANOVA are shown in Table 4. The analysis of combined totals
reveals that the average combined exam score for ALN students was 75.1
while for place-based it was 75.5. The results suggest there is no significant
difference between the ALN and place-based students in overall score,
proving HA.
The results also indicate that the group of students in the ALN course
scored significantly higher in conceptual contribution than place-based
students (a contribution of 38.1% for the ALN versus 34.5% for place-based),
proving HB. Finally, the results also indicate that students
in the ALN course score significantly lower in the technique contribution
to the final exam score when compared to place-based students (a technical
contribution of 37% for the ALN as compared with 41% for the place-based
group), proving HC. Both of these results are significant
at the p=.001 level as shown below in Table 4.
Table 4: Results from One Way ANOVA: Place-based versus
Virtual Seminar
|
Variable
|
Type
|
Sum
of Squares
|
df
|
Mean
Square
|
F.
|
Sig.
|
|
Technical
Contribution to Final Exam Score
|
Between |
945.9 |
1 |
945.9 |
27.1 |
.000 |
| Within |
8135.9 |
233 |
34.9 |
| Total
|
9081.8
|
234
|
|
|
Conceptual
Contribution to Final Exam Score
|
Between |
749.1 |
1 |
749.1 |
26.6 |
.000 |
| Within |
6571.9 |
233 |
28.6 |
| Total
|
7321.0
|
234
|
|
|
Combined Totals for Final Exam Score
|
Between |
11.46 |
1 |
11.46 |
0.159 |
.691 |
| Within |
16850.80 |
233 |
72.32 |
| Total
|
16862.27
|
234
|
|
These results provide some validity for the proposition that while there
may be no overall difference in performance, ALN courses may provide a
better environment for conceptual learning whereas place-based courses
may provide a superior environment for learning the application of techniques.
VII. Discussion and Conclusions
This study has focused on the comparison of conceptual and technique learning
in ALN and place-based environments. The study is based on results gathered
from one course that was offered in two different formats: virtual seminar
and place-based. The course was taught in both formats by the same instructor,
using the same textbook, and focusing on the same material. The final
examinations followed the same format and were roughly equivalent. This
provided the researchers with an opportunity to compare several offerings
of the same course in two different formats when a large amount of similarity
existed between course offerings.
Three important findings emerge from the analysis. These are listed below:
- No
significant difference was found in final exam scores between place-based
and virtual seminar students (HA).
This result indicates that place-based and virtual seminars can both
be effective methods for delivering course information.
- Students
taking the virtual seminar scored significantly higher on the conceptual
section of the final exam than place-based students (HB).
We have hypothesized that the higher conceptual scores for students using
virtual seminars are related to the increased interactivity associated
with virtual seminars. As noted earlier, the online environment helps
to increase the level of interactivity with students as they are not limited
to same room same time participation which includes fixed time allocations
for discussion.
- Students
taking the virtual seminar scored significantly lower on the technique
section of the final exam than place-based students (HC).
We have hypothesized that the lower technical scores for the students in the
virtual seminar may be the lack of appropriate analogs upon which to base
their knowledge. Place-based seminars provide an immediate feedback and
can more thoroughly handle questions about a particular case. Since the
students in a place-based environment are provided with a better opportunity
to develop analogs early in their learning, place-based students were
expected to have higher technique scores. The results indicate that place-based
students did indeed show significantly better scores in technique than
virtual seminars.
Having reported these differences, it is important to note that more research
is needed to better confirm and identify the source of these differences.
While a longitudinal field study reported in this study provided a good
opportunity to view the difference between conceptual and technique learning
across different formats, more controlled experiments should be able to
more precisely indicate where the differences lie. For example, it cannot
be stated conclusively that the students were randomly assigned to treatments.
The format of each class was announced in advance and followed a pattern
of online courses offered in the Spring term with place-based either in
the Summer or Fall. Students could, to the extent their academic schedule
allowed, self-select for a particular format.
It is also important to note that not all courses have both conceptual and
technique learning. The results reported in this study suggest that courses
that contain largely conceptual material may offer excellent opportunities
for ALN, while courses focusing on technique may be best provided in a
traditional place-based environment.
Even more interesting is the implication that it may be possible to capture
the best of both worlds in course design and delivery. For example, place-based
courses with rich conceptual learning objectives could be augmented with
online discussion areas. This would provide increased participation that
proved to be valuable for conceptual learning in the virtual seminar environment.
Conversely, virtual seminars could be augmented many simple examples of
technique that provided some level of interactivity such as animation,
interactivity through object-oriented environments, or a combination of
image and sound. This would provide a more favorable environment for developing
analogs that could lead to improved performance in techniques.
VII. References
-
Ausubel,
D.P., Novack, J.D., and Hanesian, H., Educational Psychology:
A Cognitive View, Holt Rinehart and Winston, New York, 1978.
-
Gersting, J.L., Chen, B., Muraoka, K.T.,
Web-Based Education in Hawai'i, WebNet 99 Proceedings,
Association for the Advancement of Computers in Education, http://www.aace.org
-
Hiltz,
S.R., Coppola, N., Rotter, N., Turoff, M., Measuring the Importance
of Learning for the Effectiveness of ALN: A Multi-Measure, Multi-Method
Approach, Journal of Asynchronous Learning Networks, Vol. 4,
Issue 2, 2001.
-
LaMaster,
K.L., Martin, D.B. and Vinge, S., Does Electronic Communication
Enhance Guided Reflection among Graduate Students?, Society for
Information Technology and Teacher Education (SITE) 1999 Conference
Proceedings, Association for the Advancement of Computers in Education,
pp 1380-1386.
-
Mayer,
Richard E., "Models for Understanding," Review
of Educational Research, Spring 1989, Vol. 59, No. 1, pp 43-64.
-
Mayer,
Richard E. and J.K. Gallini, "When is an Illustration
Worth Ten Thousand Words?" Journal of Educational Psychology,
1990, Vol. 82, no.4, pp. 715-726.
-
Mayer,
Richard E., Thinking, Problem Solving, Cognition, Second
Edition, W.H. Freeman and Company, New York, 1992.
-
Parker, D.C., Rossner-Merrill, V., 'Socialization
of Distance Education: The Web as Enabler,' WebNet '98 Proceedings,
Association for the Advancement of Computing in Education, Orlando,
FLA, This paper is online at http://parker.bus.sfu.ca/webnet/webnet98.html
-
Rossner-Merrill,
V., Parker, D., Mamchur, C., and Chu, S., Using Constructivist
Instructional Design Featured in Two Online Courses: Notes from the
Field, Journal of Educational
Media International, Volume 35, No. 4, December 1998.
VIII. ABOUT THE AUTHORS
Drew Parker is Associate Professor of Information Technology in the
Faculty of Business Administration at Simon Fraser University. He has
been teaching online since the start of this study in 1996, and has helped
develop and launch several courses and a completely online Graduate Diploma
in Business Administration at Simon Fraser University. He holds a B.Comm.
and MBA from the University of Calgary, and a Ph.D. from the Ivey School
of the University of Western Ontario.
Andrew Gemino
is Assistant Professor of Information Technology in the Faculty of Business
Administration at Simon Fraser University.
|