The Web-based community college student: An examination of factors that lead to success and risk

Internet and Higher Education - Tập 6 - Trang 241-261 - 2003
Herbert E. Muse1
1Montgomery College, 20200 Observation Drive, Germantown, MD, 20876 USA

Tài liệu tham khảo

Atman, 1987, The role of conation (striving) in distance education enterprise, American Journal of Distance Education, 1, 14, 10.1080/08923648709526568 Bailey, 1978 Bandura, 1977, Self-efficacy: Toward a unifying theory of behavioral change, Psychological Review, 84, 191, 10.1037/0033-295X.84.2.191 Bernt, 1993, Study practices and attitudes related to academic success in a distance learning programme, Distance Education, 14, 97, 10.1080/0158791930140108 1988, vol. 2(2), 23 Boshier, 1973, Educational participation and dropout: A theoretical model, Adult Education, 23, 255, 10.1177/074171367302300401 Chyung, 2001, Systematic and systemic approaches to reducing attrition rates in online higher education, American Journal of Distance Education, 15, 36, 10.1080/08923640109527092 Cjeda, 1998, The effect of academic factors on transfer student persistence and graduation: A community college to liberal arts college case study, Community College Journal of Research and Practice, 22, 675, 10.1080/1066892980220705 Clagett, 1996, Correlates of success in the community college: Using research to inform campus retention efforts, Journal of Applied Research in the Community College, 4, 49 Clark, 1994, Media will never influence learning, Educational Technology Research and Development, 42, 7, 10.1007/BF02298090 Commonwealth of Learning, 2001 Connick, 1999 Cookson, P. (1990). Persistence in distance education. In M. G. Moore (Ed.), Contemporary Issues in American Distance Education (pp. 193–197, 201–204). Oxford: Pergamon. Fjortoft, N. F. (1995, October). Predicting persistence in distance learning programs. Paper presented at the Mid-Western Educational Research Meeting, Chicago, IL. Fraenkel, 2000 Garland, 1993, Student perceptions of the situational, institutional, dispositional, and epistemological barriers to persistence, Distance Education, 14, 181, 10.1080/0158791930140203 Garrison, 1985, Predicting dropout in adult basic education using interaction effects among school and nonschool variables, Adult Education Quarterly, 36, 25, 10.1177/0001848185036001003 Garson, G.D. (1999). Discriminant function analysis [On-line]. Available: http://www2.chass.ncsu.edu/garson/pa765/discrim.htm. Accessed December 9, 2002. Garson, G.D. (2002). Factor analysis [On-line]. Available: http://www2.chass.ncsu.edu/garson/pa765/factor.htm. Accessed December 4, 2002. Giles, I. (1999). An examination of persistence and dropout in the online computer-conferenced classroom. Unpublished dissertation, Virginia Polytechnic Institute and State University, Blacksburg. Graziano, 2000 Jones, 2002 Kember, 1995 Kennedy, 1976, Student progress and withdrawal in the Open University, Teaching at a Distance, 7, 61 Kim, 1978 Knowles, 1996, Andragogy—An emerging technology for adult learning, 92 Kronheim, 2001 Lim, 2001, Computer self-efficacy, academic self-concept, and other predictors of satisfaction and future participation of adult distance learners, American Journal of Distance Education, 15, 41, 10.1080/08923640109527083 McVay, 2001, Effective student preparation for online learning, Technology Source Montgomery College. (2003a). Student Reporting: Credit GPA by semester [On-line]. Available: Banner Student Information System database. Accessed March 6, 2003. Montgomery College. (2003b). Web-based distance learning students Fall 2002 [On-line]. Available: http://www.mc.cc.md.us/Departments/inplrsh/t2002.html. Accessed March 6, 2003. Moore, 1996 Moss, S., & Triggs, T. (2002). Cross-validation in discriminant function analysis [On-line]. Available: http://www.med.monash.edu.au/psych/research/rda/. Accessed January 8, 2003. Nunnally, 1994 Osborn, V. (2000). Identifying at-risk students: An assessment instrument for distributed learning courses in higher education. Unpublished Doctoral Dissertation, University of North Texas. Osborn, 2000 Parker, 1999, A study of variables that predict dropout from distance education, International Journal of Educational Technology, 1 Peters, 1992, Some observations on dropping out in distance education, Distance Education, 13, 234, 10.1080/0158791920130206 Powell, 1990, Effects of student predisposing characteristics on student success, Journal of Distance Education, V, 5 Poulsen, J., & French, A. (2003). Discriminant function analysis (DA) [On-line]. Available: http://online.sfsu.edu/~efc/classes/biol710/discrim/discrim.pdf. Accessed February 1, 2003. Pugliese, 1994, Telecourse persistence and psychological variables, American Journal of Distance Education, 8, 22, 10.1080/08923649409526864 Russell, T. (1996). The no-significant difference phenomenon [On-line]. Available: http://teleeducation.nb.ca/nosignificantdifference/. Accessed June 3, 2001. Saba, 2000, Research in distance education: A status report, International Review of Research in Open and Distance Learning, 1, 10.19173/irrodl.v1i1.4 Simonson, 2002 SPSS for Windows 9.0.1 [computer software] (1999). Chicago, IL: SPSS. Stat Soft. (2002). Principal components and factor analysis [On-line]. Available: http://www.statsoftinc.com/textbook/stfacan.html. Accessed December 4, 2002. Tinto, 1975, Dropout from higher education: A theoretical synthesis of recent research, Review of Educational Research, 45, 89, 10.3102/00346543045001089 Tinto, 1982, Limits of theory and practice in student attrition, Journal of Higher Education, 53, 687, 10.2307/1981525 Tinto, 1997, Classrooms as communities, Journal of Higher Education, 68, 599, 10.2307/2959965 Web-Based Education Commission, 2000 Wulder, M. (2002). Principal components and factor analysis [On-line]. Available: http://www.pfc.forestry.ca/profiles/wulder/mvstats/pca_fa_e.html. Accessed December 6, 2002.