Predicting success of virtual high school students: Preliminary results from an educational success prediction instrument

Journal of Research on Technology in Education

Volumn 35, Issue 2, 2002, Pages 241-255

  Roblyer, M D ^a   Marshall, Jon C ^b  

^a University of Maryland University College   (United States)

^b UNIVERSITY OF WEST GEORGIA   (United States)

Author keywords

Discriminant analysis; Distance learning; Dropout prevention; Online learners; Virtual high school

Indexed keywords

EID: 85007857478     PISSN: 15391523     EISSN: 19450818     Source Type: Journal    
DOI: 10.1080/15391523.2002.10782384     Document Type: Article

References (24)

1. Battin-Pearson, S., Newcomb, M., & Abbott, R. (2000). Predictors of early high school dropout: A test of five theories. Journal of Educational Psychology, 92(3), 568-582.
2. Berman, S., & Tinker, R. (1997). The world’s the limit in the virtual high school. Educational Leadership, 55(3), 52-54.
3. Carr, S. (1999, December 10). Two more universities start diploma-granting virtual high schools. Chronicle of Higher Education [Online serial]. Available: http://chronicle.com.
4. Carr, S. (2000, February 11). As distance education comes of age, the challenge is keeping the students. Chronicle of Higher Education [Online serial]. Available: http://chronicle.com.
5. Carr, S., & Young, J. R. (1999, October 22). As distance learning boom spreads, colleges help set up virtual high schools. Chronicle of Higher Education [Online serial]. Available: http://chronicle.com.
6. Coussement, S. (1995). Educational telecommunication: Does it work? An attitude study. (ERIC No. ED 391 465)
7. Dille, B., & Mezack, M. (1991). Identifying predictors of high risk among community college telecourse students. The American Journal of Distance Education, 5(1), 24-35.
8. Elbaum, B. (1998, Winter). Is the virtual high school “educational reform”? @Concord. Org: Newsletter of the Concord Consortium, pp. 10-11.
9. Fabrigar, L., Wegener, D., MacCallum, R., & Strahan, E. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272-299.
10. Gibson, C, & Graf, A. (1992). Impact of adults’ preferred learning styles and perception of barriers on completion of external baccalaureate degree programs. Journal of Distance Education, 7(1), 39-51.
11. Hammonds, L. (1998). The virtual high school: Lumberton Senior High School, North Carolina. The Clearinghouse, 71(6), 324-325.
12. Hardy, D. W., & Boaz, M. H. (1997). Learner development: Beyond the technology. In T. E. Cyrs (Ed.), Teaching and learning at a distance: What it takes to effectively design, deliver, and evaluate programs (pp. 41-48). San Francisco: Jossey-Bass.
13. Johnston, S., & Mitchell, M. (2000). Teaching the FHS way: Florida High School. Multimedia Schools, 7(4), 52-55.
14. Johnston, S., Stark, S., & Young, J. (1998, September). The cyberface of tomorrow’s schools: The new Florida High School. The High School Magazine, 40-41
15. Kendall, J. (1998). Virtual ink and transcontinental writing: Writing at an experimental virtual school. Independent School, 57(3), 64-66.
16. Mather, M. (1998). Virtual schooling: Going the distance-any distance-to school. Technology & Learning, 78(8), 30-31.
17. Osborn, V. (2001). Identifying at-risk students in videoconferencing and Web-based distance education. The American Journal of Distance Education, 75(1), 41-54.
18. Richards, C., & Ridley, D. (1997). Factors affecting college students persistence in online computer-managed instruction. College Student journal, 31, 490-495
19. Roblyer, M. D. (1999). Is choice important in distance learning? A study of students’ motives for taking Internet-based courses at community college and high school levels. Journal of Research on Computing in Education, 32(1/2), 157-171.
20. Roblyer, M. D., & Elbaum, B. (2000). Virtual learning? Research on virtual high schools. Learning & Leading with Technology, 27(4), 58-61.
21. Statistical Package for the Social Sciences [Computer software]. (1984-2001). Chicago: SPSS, Inc.
22. Sullivan, M. (1998). Analysis of student field dependent status, attitude toward the technology, medium, and perception of interaction in a distance education setting: Triplications for improving the quality of distance education. Paper presented at the Conference for the Louisiana Educational Research Association. (ERIC No. ED 419 532)
23. Verona, M. (1999). Maryland Virtual High School: Integrating technology and teacher professionalism with science education reform. Journal of Education, 181(2), 91-121.
24. Wang, A, & Newlin, M. (2000). Characteristics of students who enroll and succeed in Web-based classes. Journal of Educational Psychology, 92(1), 137-143.