Research Article
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Should I Stay, or Should I Go? Revisiting Student Retention Models in Distance Education

Year 2019, Volume: 20 Issue: 3, 29 - 40, 01.07.2019
https://doi.org/10.17718/tojde.598211

Abstract

Supporters of distance education highlight the many advantages of online learning as compared to face-to-face education, such as greater openness, diversity of teaching materials, adjustment to student learning styles, the speed of learning, and more. Despite the advantages, the growing number of programs, and the increased acceptance of distance education in national strategies worldwide, distance learning providers are faced with the problem of dropouts. Studies have shown that the dropout rate in distance educational programs is higher than the dropout rate in traditional programs. Understanding of the reasons and determinants behind dropping out of an educational program is a challenging task for educators, researchers, and policy-makers. In this paper, we describe the main characteristics of distance education, and analyze the models that try to describe and prevent students from dropping out of these programs. Our analysis suggests that the circumstances that affect the dropout rate should be considered in the planning and implementation of distance education programs.

References

  • Bawa, P. (2016). Retention in Online Courses: Exploring Issues and Solutions—A Literature Review. SAGE Open, 6(1), 2158244015621777. https://doi.org/10.1177/2158244015621777 Bean, J. P., & Metzner, B. S. (1985). A Conceptual Model of Nontraditional Undergraduate Student Attrition. Review of Educational Research, 55(4), 485–540. Benson, S. (2013, August 6). What is Personalized Learning? A Working Draft. Retrieved August 9, 2018, from https://scottebenson.wordpress.com/2013/08/06/what-is-personalized-learning/ Brewer, S. A., & Yucedag-Ozcan, A. (2013). Educational Persistence: Self-Efficacy and Topics in a College Orientation Course. Journal of College Student Retention: Research, Theory & Practice, 14(4), 451–465. https://doi.org/10.2190/CS.14.4.B Carr, S. (2000). As Distance Education Comes of Age, the Challenge Is Keeping the Students. Chronicle of Higher Education, 46(23), 39–41. Carroll, D., Ng, E., & Birch, D. (2013). Strategies to Improve Retention of Postgraduate Business Students in Distance Education Courses: An Australian Case. Turkish Online Journal of Distance Education, 14(1), 140–153. Conrad, R.-M., & Donaldson, J. A. (2011). Engaging the Online Learner: Activities and Resources for Creative Instruction (Updated edition). San Francisco: Jossey-Bass. Diaz, D. P. (2002). Online drop rates revisited. The Technology Source, (1). Retrieved from http://technologysource.org/article/online_drop_rates_revisited/ Docebo. (2018). eLearning Trends for 2018. London; Toronto; Athens: Docebo Inc. Retrieved from https:// www.docebo.com/resource/whitepaper-elearning-trends-2018/ Eraut, M. (2009). Transfer of knowledge between education and workplace settings. In H. Daniels, H. Lauder, & J. Porter (Eds.), Knowledge, values, and educational policy: a critical perspective (pp. 65–84). London; New York, NY: Routledge. Flood, J. (2002). Read all about it: online learning facing 80% attrition rates. The Turkish Online Journal of Distance Education, 3(2). Retrieved from http://tojde.anadolu.edu.tr/makale_goster.php?id=48 Gomez-Zermeno, M. G., & Aleman de La Garza, L. (2016). Research Analysis on MOOC Course Dropout and Retention Rates. Turkish Online Journal of Distance Education, 17(2), 3–14. Gregori, P., Martínez, V., & Moyano-Fernández, J. J. (2018). Basic actions to reduce dropout rates in distance learning. Evaluation and Program Planning, 66, 48–52. https://doi.org/10/gcr4b7 Herbert, M. (2006). Staying the Course: A Study in Online Student Satisfaction and Retention. Online Journal of Distance Learning Administration, 9(4). Retrieved from https://www.westga.edu/~distance/ojdla/winter94/herbert94.htm Keegan, D. (1996). Foundations of distance education (3rd ed.). London: Routledge. Kember, D. (1989). A Longitudinal-Process Model of Drop-Out from Distance Education. The Journal of Higher Education, 60(3), 278–301. https://doi.org/10.1080/00221546.1989.11775036 Kember, D. (1995). Open learning courses for adults: A model of student progress. Englewood Cliffs, NJ: Educational Technology Publications. Lee, E., Pate, J. A., & Cozart, D. (2015). Autonomy Support for Online Students. TechTrends, 59(4), 54–61. https://doi.org/10.1007/S11528-015-0871-9 Liu, D., Huang, R., & Wosinski, M. (2017). Smart Learning in Corporate University. In D. Liu, R. Huang, & M. Wosinski (Eds.), Smart Learning in Smart Cities (pp. 119–145). Singapore: Springer Singapore. https://doi.org/10.1007/978-981-10-4343-7_6 Makovec, D. (2018). The teacher’s role and professional development. International Journal of Cognitive Research in Science Engineering and Education, 6(2), 33–45. https://doi.org/10.5937/ ijcrsee1802033M 39 Marland, P. (1997). Towards more effective open and distance teaching. London: Kogan Page. OECD. (2017). Who is expected to graduate from tertiary education? In Education at a Glance 2017 (pp. 64–74). OECD Publishing. https://doi.org/10.1787/eag-2017-en Park, J.-H. (2007). Factors Related to Learner Dropout in Online Learning. Presented at the International Research Conference in The Americas of the Academy of Human Resource Development, Indianapolis, IN, Feb 28-Mar 4, 2007. 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(4), 207–217. Parker, A. (1999). A study of variables That predict dropout from distance education. International Journal of Educational Technology, 1(2). Retrieved from http://ascilite.org/archived-journals/ijet/v1n2/ parker/ Peters, O. (2001). Learning and teaching in distance education: Pedagogical analyses and interpretations in an international perspective. New York: Routledge. Rovai, A. P. (2003). In search of higher persistence rates in distance education online programs. The Internet and Higher Education, 6(1), 1–16. https://doi.org/10.1016/S1096-7516(02)00158-6 Salmon, G. (2004). E-moderating: The key to teaching and learning online. Routledge. Simonson, M. R., Smaldino, S. E., & Zvacek, S. (2015). Teaching and learning at a distance: foundations of distance education (Sixth edition). Charlotte, North Carolina: Information Age Publishing. Simpson, O. (2003). Student retention in online, open, and distance learning. London and Sterling, VA: Kogan Page. Simpson, O. (2004). The impact on retention of interventions to support distance learning students. Open Learning, 19(1), 79–95. Simpson, O. (2013). Student retention in distance education: are we failing our students? Open Learning: The Journal of Open, Distance and e-Learning, 28(2), 105–119. https://doi.org/10.1080/0268051 3.2013.847363 Spady, W. G. (1971). Dropouts from higher education: Toward an empirical model. Interchange, 2(3), 38– 62. https://doi.org/10/dzrdk3 Spector, J. M. (2014). Conceptualizing the emerging field of smart learning environments. Smart Learning Environments, 1(1), 2. https://doi.org/10.1186/S40561-014-0002-7 Tait, A., & Mills, R. (1999). The convergence of distance and conventional education: Patterns of flexibility for the individual learner. In A. Tait & R. Mills, The convergence of distance and conventional education: Patterns of flexibility for the individual learner (pp. 1–4). New York: Routledge. Taylor, J. C. (2001). Fifth generation distance education. E-Journal of Instructional Science and Technology (e-JIST), 4(1), 1–14. Taylor, James C. (1995). Distance education technologies: The fourth generation. Australian Journal of Educational Technology, 11(2), 1–7. Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89. Tinto, V., & Smart, J. C. (2010). From Theory to Action: Exploring the Institutional Conditions for Student Retention. In Higher Education: Handbook of Theory and Research (Vol. 25, pp. 51–89). Dordrecht: Springer. Tinto, V. (2006). Research and Practice of Student Retention: What Next? Journal of College Student Retention: Research, Theory & Practice, 8(1), 1–19. https://doi.org/10/bct36r Tyler-Smith, K. (2006). Early attrition among first time elearners: A review of factors that contribute to drop-out, withdrawal and non-completion rates of adult learners undertaking elearning programmes. Journal of Online Learning and Teaching, 2(2), 73–85. 40 Van Ameijde, J., Weller, M., & Cross, S. (2016). Quality Enhancement Report: Designing for Student Retention - The ICEBERG Model and Key Design Tips (p. 40). Milton Keynes, UK: The Open University. Yorke, M. (2004). Retention, persistence and success in on-campus higher education, and their enhancement in open and distance learning. Open Learning, 19(1), 19–32. Yukselturk, E., & Inan, F. A. (2006). Examining the Factors Affecting Student Dropout in an Online Learning Environment. Turkish Online Journal of Distance Education, 7(3), 76–88.
Year 2019, Volume: 20 Issue: 3, 29 - 40, 01.07.2019
https://doi.org/10.17718/tojde.598211

Abstract

References

  • Bawa, P. (2016). Retention in Online Courses: Exploring Issues and Solutions—A Literature Review. SAGE Open, 6(1), 2158244015621777. https://doi.org/10.1177/2158244015621777 Bean, J. P., & Metzner, B. S. (1985). A Conceptual Model of Nontraditional Undergraduate Student Attrition. Review of Educational Research, 55(4), 485–540. Benson, S. (2013, August 6). What is Personalized Learning? A Working Draft. Retrieved August 9, 2018, from https://scottebenson.wordpress.com/2013/08/06/what-is-personalized-learning/ Brewer, S. A., & Yucedag-Ozcan, A. (2013). Educational Persistence: Self-Efficacy and Topics in a College Orientation Course. Journal of College Student Retention: Research, Theory & Practice, 14(4), 451–465. https://doi.org/10.2190/CS.14.4.B Carr, S. (2000). As Distance Education Comes of Age, the Challenge Is Keeping the Students. Chronicle of Higher Education, 46(23), 39–41. Carroll, D., Ng, E., & Birch, D. (2013). Strategies to Improve Retention of Postgraduate Business Students in Distance Education Courses: An Australian Case. Turkish Online Journal of Distance Education, 14(1), 140–153. Conrad, R.-M., & Donaldson, J. A. (2011). Engaging the Online Learner: Activities and Resources for Creative Instruction (Updated edition). San Francisco: Jossey-Bass. Diaz, D. P. (2002). Online drop rates revisited. The Technology Source, (1). Retrieved from http://technologysource.org/article/online_drop_rates_revisited/ Docebo. (2018). eLearning Trends for 2018. London; Toronto; Athens: Docebo Inc. Retrieved from https:// www.docebo.com/resource/whitepaper-elearning-trends-2018/ Eraut, M. (2009). Transfer of knowledge between education and workplace settings. In H. Daniels, H. Lauder, & J. Porter (Eds.), Knowledge, values, and educational policy: a critical perspective (pp. 65–84). London; New York, NY: Routledge. Flood, J. (2002). Read all about it: online learning facing 80% attrition rates. The Turkish Online Journal of Distance Education, 3(2). Retrieved from http://tojde.anadolu.edu.tr/makale_goster.php?id=48 Gomez-Zermeno, M. G., & Aleman de La Garza, L. (2016). Research Analysis on MOOC Course Dropout and Retention Rates. Turkish Online Journal of Distance Education, 17(2), 3–14. Gregori, P., Martínez, V., & Moyano-Fernández, J. J. (2018). Basic actions to reduce dropout rates in distance learning. Evaluation and Program Planning, 66, 48–52. https://doi.org/10/gcr4b7 Herbert, M. (2006). Staying the Course: A Study in Online Student Satisfaction and Retention. Online Journal of Distance Learning Administration, 9(4). Retrieved from https://www.westga.edu/~distance/ojdla/winter94/herbert94.htm Keegan, D. (1996). Foundations of distance education (3rd ed.). London: Routledge. Kember, D. (1989). A Longitudinal-Process Model of Drop-Out from Distance Education. The Journal of Higher Education, 60(3), 278–301. https://doi.org/10.1080/00221546.1989.11775036 Kember, D. (1995). Open learning courses for adults: A model of student progress. Englewood Cliffs, NJ: Educational Technology Publications. Lee, E., Pate, J. A., & Cozart, D. (2015). Autonomy Support for Online Students. TechTrends, 59(4), 54–61. https://doi.org/10.1007/S11528-015-0871-9 Liu, D., Huang, R., & Wosinski, M. (2017). Smart Learning in Corporate University. In D. Liu, R. Huang, & M. Wosinski (Eds.), Smart Learning in Smart Cities (pp. 119–145). Singapore: Springer Singapore. https://doi.org/10.1007/978-981-10-4343-7_6 Makovec, D. (2018). The teacher’s role and professional development. International Journal of Cognitive Research in Science Engineering and Education, 6(2), 33–45. https://doi.org/10.5937/ ijcrsee1802033M 39 Marland, P. (1997). Towards more effective open and distance teaching. London: Kogan Page. OECD. (2017). Who is expected to graduate from tertiary education? In Education at a Glance 2017 (pp. 64–74). OECD Publishing. https://doi.org/10.1787/eag-2017-en Park, J.-H. (2007). Factors Related to Learner Dropout in Online Learning. Presented at the International Research Conference in The Americas of the Academy of Human Resource Development, Indianapolis, IN, Feb 28-Mar 4, 2007. 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(4), 207–217. Parker, A. (1999). A study of variables That predict dropout from distance education. International Journal of Educational Technology, 1(2). Retrieved from http://ascilite.org/archived-journals/ijet/v1n2/ parker/ Peters, O. (2001). Learning and teaching in distance education: Pedagogical analyses and interpretations in an international perspective. New York: Routledge. Rovai, A. P. (2003). In search of higher persistence rates in distance education online programs. The Internet and Higher Education, 6(1), 1–16. https://doi.org/10.1016/S1096-7516(02)00158-6 Salmon, G. (2004). E-moderating: The key to teaching and learning online. Routledge. Simonson, M. R., Smaldino, S. E., & Zvacek, S. (2015). Teaching and learning at a distance: foundations of distance education (Sixth edition). Charlotte, North Carolina: Information Age Publishing. Simpson, O. (2003). Student retention in online, open, and distance learning. London and Sterling, VA: Kogan Page. Simpson, O. (2004). The impact on retention of interventions to support distance learning students. Open Learning, 19(1), 79–95. Simpson, O. (2013). Student retention in distance education: are we failing our students? Open Learning: The Journal of Open, Distance and e-Learning, 28(2), 105–119. https://doi.org/10.1080/0268051 3.2013.847363 Spady, W. G. (1971). Dropouts from higher education: Toward an empirical model. Interchange, 2(3), 38– 62. https://doi.org/10/dzrdk3 Spector, J. M. (2014). Conceptualizing the emerging field of smart learning environments. Smart Learning Environments, 1(1), 2. https://doi.org/10.1186/S40561-014-0002-7 Tait, A., & Mills, R. (1999). The convergence of distance and conventional education: Patterns of flexibility for the individual learner. In A. Tait & R. Mills, The convergence of distance and conventional education: Patterns of flexibility for the individual learner (pp. 1–4). New York: Routledge. Taylor, J. C. (2001). Fifth generation distance education. E-Journal of Instructional Science and Technology (e-JIST), 4(1), 1–14. Taylor, James C. (1995). Distance education technologies: The fourth generation. Australian Journal of Educational Technology, 11(2), 1–7. Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89. Tinto, V., & Smart, J. C. (2010). From Theory to Action: Exploring the Institutional Conditions for Student Retention. In Higher Education: Handbook of Theory and Research (Vol. 25, pp. 51–89). Dordrecht: Springer. Tinto, V. (2006). Research and Practice of Student Retention: What Next? Journal of College Student Retention: Research, Theory & Practice, 8(1), 1–19. https://doi.org/10/bct36r Tyler-Smith, K. (2006). Early attrition among first time elearners: A review of factors that contribute to drop-out, withdrawal and non-completion rates of adult learners undertaking elearning programmes. Journal of Online Learning and Teaching, 2(2), 73–85. 40 Van Ameijde, J., Weller, M., & Cross, S. (2016). Quality Enhancement Report: Designing for Student Retention - The ICEBERG Model and Key Design Tips (p. 40). Milton Keynes, UK: The Open University. Yorke, M. (2004). Retention, persistence and success in on-campus higher education, and their enhancement in open and distance learning. Open Learning, 19(1), 19–32. Yukselturk, E., & Inan, F. A. (2006). Examining the Factors Affecting Student Dropout in an Online Learning Environment. Turkish Online Journal of Distance Education, 7(3), 76–88.
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Details

Primary Language English
Journal Section Articles
Authors

Marko Radovan This is me 0000-0002-6564-9201

Publication Date July 1, 2019
Submission Date September 6, 2018
Published in Issue Year 2019 Volume: 20 Issue: 3

Cite

APA Radovan, M. (2019). Should I Stay, or Should I Go? Revisiting Student Retention Models in Distance Education. Turkish Online Journal of Distance Education, 20(3), 29-40. https://doi.org/10.17718/tojde.598211

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