Decision Sciences Journal
Volume 32, Number 3
Summer 2001
Improving Computer Training Effectiveness for Decision Technologies:
Behavior Modeling and Retention Enhancement
Mun Y. Yi
Moore School of Business, University of South Carolina, Columbia,
SC 29208,
email: myi@moore.sc.edu
Fred D. Davis
Sam M. Walton College of Business, University of Arkansas, Fayetteville,
AR 72701, email: fdavis@walton.uark.edu
Abstract. Managers and analysts increasingly need to
master the hands-on use of computer-based decision technologies
including spreadsheet models. Effective training can prevent
the lack of skill from impeding potential effectiveness gains
from decision technologies. Among the wide variety of software
training approaches in use today, recent research indicates that
techniques based on behavior modeling, which consists of computer
skill demonstration and hands-on practice, are among the most
effective for achieving positive training outcomes. The present
research examines whether the established behavior-modeling approach
to software training can be improved by adding a retention enhancement
intervention as a substitute for, or complement to, hands-on
practice. One hundred and eleven trainees were randomly assigned
to one of three versions of a training program for spreadsheets:
retention enhancement only, practice only, and retention enhancement
plus practice. Results obtained while controlling for total training
time indicate that a combination of retention enhancement and
practice led to significantly better cognitive learning than
practice alone. The initial difference in cognitive achievement
was still evident one week after training. Implications for future
computer training research and practice are discussed.
Subject Areas: Behavior Modeling, Computer Training,
End-User Computing, IS Implementation, and Multivariate Statistics. |