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The Effects of Distance Education on
K–12 Student Outcomes:
A Meta-Analysis
October 2004
The Effects of Distance Education on
K–12 Student Outcomes:
A Meta-Analysis
October 2004
Cathy Cavanaugh
University of North Florida
Kathy Jo Gillan
Duval County Public Schools
Jeff Kromrey
University of South Florida
Melinda Hess
University of South Florida
Robert Blomeyer
North Central Regional Educational Laboratory
1120 East Diehl Road, Suite 200
Naperville, Illinois 60563-1486
(800) 356-2735 (630) 649-6500
www.learningpt.org
Copyright © 2004 Learning Point Associates, sponsored under government contract number ED-01-CO-0011.
All rights reserved.
This work was originally produced in whole or in part by the North Central Regional Educational Laboratory
with funds from the Institute of Education Sciences (IES), U.S. Department of Education, under contract number
ED-01-CO-0011. The content does not necessarily reflect the position or policy of IES or the Department of
Education, nor does mention or visual representation of trade names, commercial products, or organizations
imply endorsement by the federal government.
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Contents
Abstract........................................................................................................................4
Introduction..................................................................................................................5
Distance Education in the K–12 Context.............................................................5
Characteristics for Success..................................................................................6
Teaching and Learning Theory............................................................................7
Purpose of the Study.....................................................................................................8
Method.......................................................................................................................10
Location and Selection of Studies......................................................................11
Limitations of the Review.................................................................................13
Coding of Study Features..................................................................................13
Calculation of Effect Sizes................................................................................14
Statistical Analysis of Effect Sizes ....................................................................15
Results........................................................................................................................15
Characteristics of the Study...............................................................................15
Overall Effects on K–12 Distance Education.....................................................16
Publication and Methodological Variables.........................................................18
Distance Education Variables............................................................................18
Instructional and Program Variables..................................................................19
Discussion..................................................................................................................19
Implications for Research and Practice..............................................................19
Conclusions................................................................................................................21
The Need for Prospective Study in Virtual Schooling........................................22
Recommendations for K–12 Online Learning Policy and Practice ....................23
References..................................................................................................................26
Appendix: Coded Variables and Study Features in the Codebook ...............................32
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Abstract
The community of K–12 education has seen explosive growth over the last decade in distance
learning programs, defined as learning experiences in which students and instructors are
separated by space and/or time. While elementary and secondary students have learned through
the use of electronic distance learning systems since the 1930s, the development of online
distance learning schools is a relatively new phenomenon. Online virtual schools may be ideally
suited to meet the needs of stakeholders calling for school choice, high school reform, and
st
workforce preparation in 21 century skills. The growth in the numbers of students learning
online and the importance of online learning as a solution to educational challenges has increased
the need to study more closely the factors that affect student learning in virtual schooling
environments. This meta-analysis is a statistical review of 116 effect sizes from 14 web-
delivered K–12 distance education programs studied between 1999 and 2004. The analysis
shows that distance education can have the same effect on measures of student academic
achievement when compared to traditional instruction. The study-weighted mean effect size
across all outcomes was -0.028 with a 95 percent confidence interval from 0.060 to -0.116,
indicating no significant difference in performance between students who participated in online
programs and those who were taught in face-to-face classrooms. No factors were found to be
related to significant positive or negative effects. The factors that were tested included academic
content area, grade level of the students, role of the distance learning program, role of the
instructor, length of the program, type of school, frequency of the distance learning experience,
pacing of instruction, timing of instruction, instructor preparation and experience in distance
education, and the setting of the students.
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