Katrina A. Meyer, Janis Bruwelheide, Russell Poulin


This paper focuses on an assessment of an online certification program in K–12 library media which has a near-perfect record of retaining students. Students and graduates of the program were asked to identify reasons for enrolling (and staying enrolled) in the program as well as functions that faculty performed well. These reasons were drawn upon three theoretical models of student retention: Tinto, Bean and Metzner, the Community of Inquiry Model, plus advantages of online programs. Openended questions and Likert-style items provide some support for the academic integration portion of Tinto’s retention model, Bean and Metzner’s retention model for adult non-traditional students, and the importance of the program being available online in explaining why students stayed. Open-ended questions and Likert-style items also support the use of the Community of Inquiry model as a way of identifying what faculty did well in the program and perhaps contributed to the students’ willingness to stay enrolled in the program.


Retention,Attrition,Community of Inquiry,Online Learning,Teaching Presence,Social Presence,Certificate Programs

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Brigham, D. Benchmark information survey. Unpublished presentation, Excelsior University, 2003.

Carr, S. As distance education comes of age, the challenge is keeping the students. The Chronicle of Higher

Education: A39–A41, February 11, 2000.

Jung, I. and I. Rha. Effectiveness and cost-effectiveness of online education: A review of the literature. Educational Technology 40(4): 57–60, 2000.

Roach, R. Staying connected: Getting retention right is high priority for online degree programs. Black Issues in Higher Education: October 24, 2002.

Twigg, C. A. Improving quality and reducing cost: Designs for effective learning. Change 35(4): 23–29, 2003.

Tinto, V. Leaving College: Rethinking the Causes and Cures of Student Attrition. Chicago, IL: University of Chicago Press, 1987.

Bean, J. P. and B. S. Metzner. A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research 55(4): 485–540, 1985.

Garrison, D. R., T. Anderson, and W. Archer. Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education 2(2–3): 87–105, 2000.

Tinto, V. Colleges as communities: Taking research on student persistence seriously. Review of Higher Education 21(2): 167–177, 1998.

Astin, A. Student involvement: A developmental theory for higher education. Journal of College Student Personnel 25(3): 297–308, 1984.

Nora, A. Determinants of retention among Chicano college students. Research in Higher Education, 26(1): 31–59, 1987.

Pascarella, E. T. and P. Terenzini. Predicting persistence and voluntary dropout decisions from a theoretical model. Journal of Higher Education 51(1): 60–75, 1980.

Terenzini, P. T. and E. T. Pascarella. Voluntary freshman attrition and patterns of social and academic integration in a university: A test of a conceptual model. Research in Higher Education 6(1): 25–43, 1997.

Rovai, A. P. In search of higher persistence rates in distance education online programs. The Internet and Higher Education 6: 1–16, 2003.

Contreras-Castillo, J., J. Favela, C. Pérez-Fragoso and E. Santamaría-del-Angel. Informal interactions and their implications for online courses. Computers & Education 42(2): 49–168, 2004.

Morris, L. V., C. Finnegan and S. Wu. Tracking student behavior, persistence, and achievement in online courses. The Internet and Higher Education 8(3): 221–231, 2005.

Rendon, L. Validating culturally diverse students: Toward a new model of learning and student development. Innovative Higher Education 9(1): 33–52, 1994.

Terenzini, P., et al. The transition to college: Diverse students, diverse stories. Research in Higher Education 35(1): 57–73, 1994.

Metzner, B. S. and J. P. Bean. The estimation of a conceptual model of nontraditional undergraduate student attrition. Research in Higher Education 27(1): 15–38, 1987.

Henry, T. C. and G. P. Smith. Planning student success and persistence: Implementing a statue system strategy. Community College Review 22(2): 26–36, 1993.

Ashar, H. and R. Skenes. Can Tinto’s student departure model be applied to nontraditional students? Adult Education Quarterly 43: 90–100, 1993.

Grosset, J. M. Patterns of integration, commitment, and student characteristics and retention among younger and older students. Research in Higher Education 32(2): 159–178, 1991.

Garrison, D. R., T. Anderson and W. Archer. Critical Thinking, Cognitive Presence, and Computer Conferencing in Distance Education. The American Journal of Distance Education 15(1): 7–23, 2001.

Anderson, T., L. Rourke, D. R. Garrison and W. Archer. Assessing social presence in asynchronous text-based computer conferencing. Journal of Distance Education 14(2): 2001. http://cade.icaap.org/vol14.2/rourke_et_al.html.

Anderson, T., L. Rourke, D. R. Garrison and W. Archer. Assessing teaching presence in a computer conferencing context. Journal of Asynchronous Learning Networks 5(2): 2001. http://www.sloan-c.org/publications/jaln/v5n2/v5n2_anderson.asp.

Wise, A., J. Chang, T. Duffy and R. Del Valle. The effects of teacher social presence on student satisfaction, engagement, and learning. Journal of Educational Computing Research 31(3): 247–271, 2004.

Sims, R. and B. Bovard. Interacting with online learners: How new elaborations of online presence can foster critical thinking and reflection. http://www.ascilite.org.au/conferences/perth04/procs/sims.html.

Meyer, K. A. Face-to-Face versus Threaded Discussions: The Role of Time and Higher-Order Thinking. Journal of Asynchronous Learning Networks 7(3): 2003. http://www.sloan-c.org/publications/jaln/v7n3/v7n3_meyer.asp.

Meyer, K. A. Evaluating Online Discussions: Four Frames of Analysis. Journal of Asynchronous Learning Networks 8(2): 2004. http://www.sloan-c.org/publications/jaln/v8n2/v8n2_meyer.asp.

Russo, T. and S. Benson. Learning with invisible others: Perceptions of online presence and their relationship to cognitive and affective learning. Educational Technology & Society 8(1): 54–62, 2005.

Willging, P. A. and S. D. Johnson. Factors that influence students’ decision to dropout of online courses. Journal of Asynchronous Learning Networks 8(4): 2004. http://www.sloan-c.org/publications/jaln/v8n4/v8n4_willging.asp.

Terry, N. Assessing enrollment and attrition rates for the online MBA. T.H.E. Journal,2001. http://www.thejournal.com/magazine/vault/articleprintversion.cfm?aid=3299.

Jones, P., G. Packham, C. Miller and A. Jones. An initial evaluation of student withdrawals within an e-learning environment: The case of e-College Wales. http://www.ejel.org/volume-2/vol2-issue1/issue1-art13-jones.pdf.

Diaz, D. P. Online drop rates revisited. The Technology Source: May/June 2002. http://technologysource.org/article/online_drop_rates_revisited/.

Workman, J. J. and R. A. Stenard. Student support services for distance learners. DEOSNEWS 6(3). Distance Education Online Symposium Website, http://www.ed.psu.edu/acsde/deos/deosnews/deosnews6_3.asp.

DOI: http://dx.doi.org/10.24059/olj.v13i3.1662

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