"A
comparative analysis of performance and behavioral outcomes in technology-based
learning"
Katia
Passerini,
Doctoral
Candidate in the Information and Decisions Systems, pkatia@gwu.edu
Department
of Management Science, School of Business and Public Management
The George Washington University
Introduction and Summary
A systematic understanding of
the impact of different technological media on the achievement of instructional
goals enables educators to deliver the subject matter more effectively.This
research focuses on the impact of selected instructional delivery modes
in supporting the learning of business management topics. Among the various
instructional technologies that advance learning, interactive multimedia
is recurrently identified as a very powerful tool. The dissertation measures
the effects of multimedia technology, compared to both traditional classroom
and text-based instruction. It analyzes learners’ performance within a
knowledge representation framework that looks at
recall and application
of facts, concepts, principles, or procedures, as representations of instructional
outcomes. The research uses a pretest-posttest quasi-experimental
design to address concerns expressed by earlier comparison analyses. The
design supports the examination of selected instructional objectives achieved
within a specific timeframe, and isolates the effect of the medium on students’
(graduate and undergraduate) learning and satisfaction outcomes.
Prior Research
There is
an on-going controversy in the literature dealing with the question of
the learning effectiveness of instructional technology. In the last three
decades, every time a new instructional technology has come about, researchers
have tried to assess its impact on learning. Some scholars (Kozma, 1991)
claim that media influences learning. Many others (Clark, 1983, 1985, 1991,
1994; Souder, 1993; Martin & Rainey, 1993; Barry & Runyan, 1995;
McClure, 1996) claim that there is no difference in learning outcomes based
on the medium. Few scholars (Moore & Kearsley, 1996) argue that researchers
should not be asking effectiveness questions because “for any group
of students, the environment in which learning occurs and the medium of
communication between the teacher and the learners are not significant
as predictors of achievement” (pg. 65). More recently, others (Jones
& Paolucci, 1998) are calling for further research. There is no final
answer yet. In spite of the several studies (Nugent, 1982; Mayer &
Anderson,1991) and meta-analyses (Hartley, 1977; Burns & Bozeman, 1981;
Kulik & Bangert-Drowns, 1983, Bosco, 1986; Kulik, Kulik & Shwalb,
1986; Kulik & Kulik, 1989, 1991; Roblyer, Castine & King, 1988;
Kulik, 1994; Khalili & Shashaani, 1994; Fletcher-Flinn & Gravatt,
1995;) competing to answer the question: “do computers and other related
technologies make a difference in learning?” this controversy is still
alive.
Theoretical Background
The most
relevant learning theories supporting the model tested in this research
are related to studies on interactive multimedia and its impact on the
cognitive system (figure 1).
Research Goals and Methodology
There are three main goals associated with this research:
1.The
elaboration of a simplified theoretical model to assess learning.
2.The
application of a research methodology that overcomes limitations – such
as temporal and instructor-based biases - of earlier studies.
3.The
delineation of a task-driven matrix on the comparative advantages of different
instructional environments.
To achieve these goals, the dissertation applies a quasi-experimental
design, which involves one factor (learning project management topics such
as scheduling tools and change control) with three treatments (learning
from the in-class lecture, reading the textbook, or using the interactive
multimedia CD-ROM). The participants in the study are graduates and undergraduates
enrolled in business administration degree programs at a major University
in the East Coast. The study is replicated, under comparable conditions,
with the two groups. The purpose of the replication is to investigate whether
effectiveness (in recall and application tasks) and satisfaction vary by
age (graduate and undergraduate), and by subject topic characteristics
(complexity). The latter include topics such as ‘scheduling tools’ (higher
complexity topic, or ‘hard-topic’) and ‘change control” (lower complexity
topic, or ‘soft-topic’) – where complexity definition is based on a well
know cognitive taxonomy (Bloom 1953).
The main and secondary research questions focus on performance and behavioral
outcomes:
Question 1: Which instructional delivery environment
best supports learning: multimedia, textbooks, or in-class lectures?
§Question
1.1: Which environment is more effective at achieving the learning
objectives of recall or application?
§Question
1.2: Which environment is more effective at delivering a low-complexity
and high-complexity topic?
Question 2: Which learning environment
is more appealing: multimedia, textbooks, or in-class lectures?
§Question
2.1: Which environment, if any, is more appealing to graduates and undergraduates?
Figure 2 presents the learning model tested in the dissertation, and
summarizes the expected media relationships developed on the basis of an
extensive review of the literature.
To test
the model presented in Figure 2, several univariate and multivariate data
analysis techniques are employed. In addition, exploratory factor analysis
is used to identify the underlying model, the number of factors in the
model, and the variables associated with each factor. The expectation is
that the analysis supports at least a 2-factor model (the recall and application
groupings), although it may support other combinations and explain knowledge
hierarchies.
Expected Contributions
This research
contributes to research on technology effectiveness in several ways:
§Offering
an actionable theoretical framework that integrates different learning
models, enabling the research to draw conclusions on the comparative effects
of the medium as a whole, rather than on the individual components, methods,
or specific media characteristics.
§Presenting
a unique comparative situation that enables the researcher to control for
content-differences biases found in earlier studies. The research design
overcomes several limitations of these earlier studies (controll