| Edited by Diane McGrath, Kansas State University |
formerly Journal of Research on Computing in
Education
Predicting Academic
Achievement of College Computer Science
Majors
Tai-Sheng Fan and Yi-Ching
Li
National Pingtung University of Science and
Technology
Margaret L.
Niess
Oregon State
University
Abstract
This study investigated whether student academic achievement
in college computer science programs in Taiwan
could be
predicted by factors reported to be effective in
U.S. studies.
Subjects were 940 college students enrolled in
five universities
offering computer science programs. A correlation
study
was conducted and prediction models were
established. The
predictive powers of college entrance examination
(CEE)
scores in relation to subsequent college
performance appeared
to be limited. Overall high school achievement and
math
course averages were identified as effective
performance
predictors. The close relationship between
performance in
introductory computer science courses and
performance in
complete computer science programs was validated.
Significant
linear prediction models with limited predictive
powers
were generated for overall performance but not for
introductory
computer science course performance. Model
predictive powers
were significantly improved when performance in
introductory
computer science courses was included in the
models. No
significant gender differences were found for CEE
performance.
However, female subjects outperformed male
counterparts
in course performance at both the high school and
college
levels.
Contributors
Tai-Sheng Fan is an associate professor in the
Department
of Management Information Systems at the National
Pingtung
University of Science and Technology, Taiwan. He
teaches
courses in managerial psychology, computer ethics,
and computer
security management. His research interests
include computer
education, social impact, and legal issues related
to the
introduction of information technology. Yi-Ching
Li is a
professor in the Department of Applied Life
Science at the
National Pingtung University of Science and
Technology,
Taiwan, where she teaches courses in nutrition,
diet therapy,
community nutrition as well as love and marriage.
With broad
research interests, she is currently in charge of
textbook
evaluation and curriculum reforms of the
vocational high
school in Home Economics, Interior Layout, Food
Science,
Clothing, Child Care and Cosmetology programs in
Taiwan.
Margaret L. Niess is a professor and chair of the
Science
and Mathematics Education Department at Oregon
State University.
She teaches courses in methods and pedagogy as
well as instructional
technology. Her research interests include
integrating technology
into education, specifically science and
mathematics education.
She also works with gender-equity issues in
preparing teachers
in science, mathematics, and technology. (Address:
Tai-Sheng
Fan, Department of Management Information Systems,
National
Pingtung University of Science and Technology, No.
1 Hsueh-Fu
Rd., Neipu Hsiang, Pingtung, Taiwan ROC 91207; allen@mail.npust.edu.tw.)
A PDF file of the full article is available. Contact: jrte@iste.org. Please specifiy Volume
and Issue number and article name.
Copyright © 1998, ISTE (International
Society for Technology in Education).
All rights reserved.
| college entrance exam scores, overall academic achievement |
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