 |
Edited by Dr. David J. Ayersman, Mary Washington College, and
Dr. W. Michael Reed, New York University
Incoming editor: Dr. Lynne Schrum, University of Georgia
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| formerly Journal of Research on Computing in
Education |
Volume 35 Number 2
Winter 2002—2003
Predicting Success of Virtual High School Students:
Preliminary Results from an Educational Success Prediction
Instrument
M. D. Roblyer
University of Maryland University College
Jon C. Marshall
State University of West Georgia
Abstract
Results are reported on a preliminary use of the  Educational
Success Prediction Instrument (ESPRI), a measure designed to
discriminate
between successful and unsuccessful students in virtual high school
(VHS) courses
and provide a basis for counseling and support for future VHS students
to make
them more effective online learners. When used with 135 students in 13
virtual
high schools, the instrument was found to discriminate with high
accuracy and
reliability between groups of successful and unsuccessful students.
Suggestions
are given for how ESPRI results might be used to help VHS students,
and recommendations
are discussed for further research in this area.
Contributors
Dr. M. D. Roblyer is an adjunct professor of educational
technology in the Graduate School of Management and Technology at the
University of
Maryland University College, teaching online from her home in
Georgia. She has been a writer and researcher in educational technology
for more
than 25 years. Her specialty areas are instructional design of
technology-based learning materials and research on characteristics of
online
learners. Dr. Jon C. Marshall is a professor of educational
leadership in the Educational Leadership and Foundations Department in
the College
of Education at the State University of West Georgia. He has been
active in evaluation and research for more than 35 years. His specialty
areas are measurement and statistics with application to
organizational development.
Contact
Dr. M. D. Roblyer
300 Hidden Lakes Dr.
Carrollton, GA 30116
mroblyer@polaris.umuc.edu
A PDF file of the full articles is available. Contact: jrte@iste.org.
Please specifiy Volume and Issue number and article name.
Copyright © 2002, ISTE (International Society for Technology
in Education).
All rights reserved.
| distance learning, discriminant analysis, dropout prevention, online learners, virtual high school |
|
