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Articles

Persistence factors revealed: students’ reflections on completing a fully online program

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Pages 23-36 | Received 30 Aug 2016, Accepted 28 Dec 2016, Published online: 02 Apr 2017

References

  • Allen, I. A., & Seaman, J. (2016). Online report card. Tracking online education in the United States. Babson Park, MA: Babson Survey Research Group.
  • Aragon, S. R., & Johnson, E. S. (2008). Factors influencing completion and noncompletion of community college online courses. The American Journal of Distance Education, 22, 146–158. doi:10.1080/08923640802239962.
  • Association for Educational Communications and Technology. (2001). What are the initial standards? Retrieved from http://www.aect.org/standards/initstand.html
  • Baker, C. (2010). The impact of instructor immediacy and presence for online student affective learning, cognition, and motivation. Journal of Educators Online, 7(1). Retrieved from https://www.thejeo.com
  • Bannier, B. J. (2010). Motivating and assisting adult, online chemistry students: A review of the literature. Journal of Science Education and Technology, 19, 215–236. doi:10.1007/s10956-009-9195-x
  • Bawa, P. (2016). Retention in online courses: Exploring issues and solutions – A literature review. Sage Open. Retrieved from http://sgo.sagepub.com/content/spsgo/6/1/2158244015621777.full.pdf
  • Bocchi, J., Eastman, J. K., & Swift, C. O. (2004). Retaining the online learner: Profile of students in an online MBA program and implications for teaching them. Journal of Education for Business, 79, 245–253. doi:10.3200/JOEB.79.4.245-253
  • Bunn, J. (2004). Student persistence in a LIS distance education program. Australian Academic & Research Libraries, 35, 253–269. doi:10.1080/00048623.2004.10755275
  • Chiyaka, E. T., Sithole, A., Manyanga, F., McCarthy, P., & Bucklein, B. K. (2016). Institutional characteristics and student retention: What integrated postsecondary education data reveals about online learning. Online Journal of Distance Learning Administration, XIX(2). Retrieved from http://www.westga.edu/~distance/ojdla/
  • Chyung, Y., Winiecki, D. J., & Fenner, J. (1998). A case study: Increase enrollment by reducing dropout rates in adult distance education. In Distance Learning ‘98: Proceedings of the 14th Annual Conference on Distance Teaching & Learning (pp. 97–102). Madison, WI: University of Wisconsin-Madison. Retrieved from ERIC database. (ED422835).
  • Dupin-Bryant, P. (2004). Pre-entry variables related to retention in online distance education. American Journal of Distance Education, 18, 199–206. doi:10.1207/s15389286ajde1804_2
  • Eom, S. B., Wen, H. J., & Ashill, N. (2006). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An empirical investigation. Journal of Innovative Education, 4, 215–235. doi:10.1111/j.1540-4609.2006.00114.x
  • Farrell, P. L. (2009). Investing in staff for student retention. The NEA 2009 almanac of high education (pp. 85–92). Retrieved from http://www.nea.org/assets/img/PubAlmanac/ALM_09_08.pdf
  • Ferguson, J. M., & DeFelice, A. E. (2010). Length of online course and student satisfaction, perceived learning, and academic performance. The International Review of Research in Open and Distributed Learning, 11, 73–84. doi:10.19173/irrodl.v11i2.772
  • Harrell, I. L., & Bower, B. L. (2011). Student characteristics that predict persistence in community college online courses. American Journal of Distance Education, 25, 178–191. doi:10.1080/08923647.2011.590107
  • Hart, C. (2012). Factors associated with student persistence in an online program of study: A review of the literature. Journal of Interactive Online Learning, 11, 19–42. Retrieved from http://www.ncolr.org
  • Hawkins, A., Barbour, M. K., & Graham, C. R. (2012). Everybody is their own island: Teacher disconnection in a virtual school. The International Review of Research in Open and Distance Learning, 13(2), 1–15. Retrieved from http://www.irrodl.org/index.php/irrodl/index
  • Holder, B. (2007). An investigation of hope, academics, environment, and motivation as predictors of persistence in higher education online programs. The Internet and Higher Education, 10, 245–260. doi:10.1016/j.iheduc.2007.08.002
  • Ivankova, N. V., & Stick, S. L. (2007). Students’ persistence in a distributed doctoral program in educational leadership in higher education: A mixed methods study. Research in Higher Education, 48, 93–135. doi:10.1007/s11162-006-9025-4
  • Johnston, J., Killion, J., & Oomen, J. (2005). Student satisfaction in the virtual classroom. The Internet Journal of Allied Health Sciences and Practice, 3(2), 1–7. Retrieved from http://nsuworks.nova.edu/ijahsp/
  • Katiso, A. E. (2015). Online adult students’ time management skills and their academic achievement and persistence: Technology-based learning and student success. Retrieved from ProQuest Dissertations & Theses database. (UMI No. 1099971).
  • Kim, K. J., & Frick, T. W. (2011). Changes in student motivation during online learning. Journal of Educational Computing Research, 44, 1–23. doi:10.2190/EC.44.1.a
  • Lee, Y., & Choi, J. (2011). A review of online course dropout research: Implications for practice and future research. Educational Technology Research and Development, 59, 593–618. doi:10.1007/s11423-010-9177-y
  • Lim, D. H., & Kim, H. (2003). Motivation and learner characteristics affecting online learning and learning application. Journal of Educational Technology Systems, 31, 423–439. doi:10.2190/0LW0-KE8X-MDYH-X27F
  • Meyer, K. A., Bruwelheide, J., & Poulin, R. (2009). Why they stayed: Near-perfect retention in an online certification program in library media. Journal of Asynchronous Learning Networks, 13, 99–115. Retrieved from http://sloanconsortium.org/publications/olj_main
  • Meyer, K. A., & Murrell, V. (2014). A national study of training content and activities for faculty development for online teaching. Journal of Asynchronous Learning Networks, 18, 3–18. Retrieved from http://sloanconsortium.org/publications/olj_main
  • Mujtaba, B. (2011). Faculty training and development practices in distance education to achieve high performance through extraordinary teaching. Journal of College Teaching & Learning (TLC), 1, 73–89. doi:10.19030/tlc.v1i6.1957
  • Müller, T. (2008). Persistence of women in online degree-completion programs. The International Review of Research in Open & Distance Learning, 9(2). Retrieved from http://www.irrodl.org/index.php/irrodl/index
  • National Center for Education Statistics. (2014). Integrated postsecondary education data system (IPEDS). Washington, DC: U.S. Department of Education. Retrieved from http://nces.ed.gov/ipeds/
  • Pandit, N. R. (1996). The creation of theory: A recent application of the grounded theory method. The Qualitative Report, 2(4), 1–15. Retrieved from http://nsuworks.nova.edu/tqr/
  • Park, J. H., & Choi, H. J. (2009). Factors influencing adult learners’ decision to drop out or persist in online learning. Journal of Educational Technology & Society, 12, 207–217. Retrieved from http://www.ifets.info/index.php
  • Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: Sage.
  • Rovai, A. P. (2003). In search of higher persistence rates in distance education online programs. The Internet and Higher Education, 6, 1–16. doi:10.1016/S1096-7516(02)00158-6
  • Sansone, C., Fraughton, T., Zachary, J. L., Butner, J., & Heiner, C. (2011). Self-regulation of motivation when learning online: The importance of who, why and how. Educational Technology Research and Development, 59, 199–212. doi:10.1007/s11423-011-9193-6
  • Willging, P. A., & Johnson, S. D. (2004). Factors that influence students’ decision to dropout of online courses. Journal of Asynchronous Learning Networks, 8, 105–118. Retrieved from http://sloanconsortium.org/publications/olj_main
  • Yang, D., Richardson, J. C., French, B. F., & Lehman, J. D. (2011). The development of a content analysis model for assessing students’ cognitive learning in asynchronous online discussions. Educational Technology Research and Development, 59, 43–70. doi:10.1007/s11423-010-9166-1

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