The Tensions Between Student Dropout and Flexibility in Learning Design: The Voices of Professors in Open Online Higher Education
DOI:
https://doi.org/10.19173/irrodl.v23i1.5652Keywords:
online higher education, learning design, continuous assessment, flexible learning, persistence, dropoutAbstract
Flexibility is typical of open universities and their e-learning designs. While this constitutes their main attraction, promising learners will be able to study “anytime, anyplace,” this also demands more self-regulation and engagement, a cause for student dropout. This case study explores professors’ experiences of flexibility in e-learning design and continuous assessment and their perception of the risks and opportunities that more flexibility implies for student persistence and dropout. In-depth interviews with 18 full professors, who are the e-learning designers of undergraduate courses at the Open University of Catalonia (UOC), were analyzed, employing qualitative content analysis. According to the professors, the main causes for dropout are student-centered, yet they are connected to learning design: workload and time availability, as well as students’ expectations, profiles, and time management skills. In the professors’ view, flexibility has both positive and negative effects. Some are conducive to engagement and persistence: improvement of personalized feedback, formative assessment, and module workload. Others generate resistance: more flexibility may increase workload, procrastination, dropout, and risk of losing professorial control, and may threaten educational standards and quality. Untangling the tensions between dropout and flexibility may enhance learning design and educational practices that help prevent student dropout. Stakeholders should focus on measures perceived as positive, such as assessment extension, personalized feedback and monitoring, and course workload calibration. As higher education is globally turning to online delivery due to the COVID-19 viral pandemic, such findings may be useful in both hybrid and fully online educational contexts.
References
Armellini, A., & Aiyegbayo, O. (2009). Learning design and assessment with e-tivities. British Journal of Educational Technology, 41(6), 922–935. https://doi.org/10.1111/j.1467-8535.2009.01013.x
Ashby, A. (2004). Monitoring student retention in the Open University: definition, measurement, interpretation and action. Open Learning, 19(1), 65-77. https://doi.org/10.1080/0268051042000177854
Badia, A., & Chumpitaz-Campos, L. (2018). Teachers learn about student learning assessment through a teacher education process. Studies in Educational Evaluation, 58, 1–7. https://doi.org/10.1016/j.stueduc.2018.05.004
Bawa, P. (2016). Retention in online courses: Exploring issues and solutions—A literature review. Sage Open, 6(1). https://doi.org/10.1177/2158244015621777
Bennett, S., Agostinho, S., Lockyer, L., & Harper, B. (2009). Researching learning design in open, distance, and flexible learning: Investigating approaches to supporting design processes and practices. Distance Education, 30, 175–177. https://doi.org/10.1080/01587910903023173
Brigham, D. E. (1992). Factors affecting the development of distance education courses. Distance Education, 13, 169–192. https://doi.org/10.1080/0158791920130203
Butcher, J., & Rose-Adams, J. (2015). Part-time learners in open and distance learning: Revisiting the critical importance of choice, flexibility and employability. Open Learning, 30(2), 127–137. https://doi.org/10.1080/02680513.2015.1055719
Day, I. N. Z., van Blankenstein, F. M., Westenberg, P. M., & Admiraal, W. F. (2018). Explaining individual student success using continuous assessment types and student characteristics. Higher Education Research & Development, 37(5), 937–951. https://doi.org/10.1080/07294360.2018.1466868
Delnoij, L., Dirkx, K., Janssen, J., & Martens, R. L. (2020). Predicting and resolving non-completion in higher (online) education—A literature review. Educational Research Review, 29, Article 100313. https://doi.org/10.1016/j.edurev.2020.100313
Deschacht, N., & Goeman, K. (2015). The effect of blended learning on course persistence and performance of adult learners: A difference-in-differences analysis. Computers & Education, 87, 83–89. https://doi.org/10.1016/j.compedu.2015.03.020
Dexter, P. D. (2015). The influence of engagement upon success and persistence of online undergraduates (Publication No. 3723157) [Doctoral dissertation, University of Southern Maine]. ProQuest Dissertations Publishing. https://search.proquest.com/docview/1728895868
Grau-Valldosera, J., Minguillón, J., & Blasco-Moreno, A. (2018). Returning after taking a break in online distance higher education: From intention to effective re-enrollment. Interactive Learning Environments, 27(3), 307–323. https://doi.org/10.1080/10494820.2018.1470986
Han, X., Wang, Y., & Jiang, L. (2019). Towards a framework for institution-wide quantitative assessment of teacher’s online participation in blended learning implementation. The Internet and Higher Education, 42, 1–12. https://doi.org/10.1016/j.iheduc.2019.03.003
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(1), 19–42. http://www.ncolr.org/jiol/issues/pdf/11.1.2.pdf
Henry, M. (2018). The online student experience: An exploration of first-year university students’ expectations, experiences and outcomes of online education [Doctoral dissertation, Edith Cowan University]. Research Online Institutional Repository. https://ro.ecu.edu.au/theses/2059
Houlden, S., & Veletsianos, G. (2019). A posthumanist critique of flexible online learning and its “anytime anyplace” claims. British Journal of Educational Technology, 50(3), 1005–1018. https://doi.org/10.1111/bjet.12779
Hyllegard, D., Deng, H., & Hunter, C. (2008). Why do students leave online courses? Attrition in community college distance learning courses. International Journal of Instructional Media, 35(4), 429–434. https://link.gale.com/apps/doc/A273359032/AONE?u=anon~d10f0403&sid=googleScholar&xid=cc2cfc27
Kahu, E., Stephens, C., Zepke, N., & Leach, L. (2014). Space and time to engage: Mature-aged distance students learn to fit study into their lives. International Journal of Lifelong Education, 33(4), 523–540. https://doi.org/10.1080/02601370.2014.884177
Kara, M., Erdoğdu, F., Kokoç, M., & Cagiltay, K. (2019). Challenges faced by adult learners in online distance education: A literature review. Open Praxis, 11(1), 5–22. https://doi.org/10.5944/openpraxis.11.1.929
Korstange, R., Hall, J., Holcomb, J., & Jackson, J. (2020). The online first-year experience: Defining and illustrating a new reality. Adult Learning, 31(3), 95–108. https://doi.org/10.1177/1045159519892680
Lee, Y., & Choi, J. (2011). A review of online course dropout research: Implications for practice and future research. Educational Technology Research and Development, 59(5), 593–618. https://doi.org/10.1007/s11423-010-9177-y
McNaught, K. (2013). Flexible pedagogy, flexible practice: Notes from the trenches of distance education. Higher Education Research & Development, 32(5), 867–869. https://doi.org/10.1080/07294360.2012.756849
Michinov, N., Brunot, S., Le Bohec, O., Juhel, J., & Delaval, M. (2011). Procrastination, participation, and performance in online learning environments. Computers & Education, 56(1), 243–252. https://doi.org/10.1016/j.compedu.2010.07.025
Moore, C., & Greenland, S. (2017). Employment-driven online student attrition and the assessment policy divide: An Australian open-access higher education perspective. Journal of Open, Flexible and Distance Learning, 21(1), 52–62. https://files.eric.ed.gov/fulltext/EJ1148193.pdf
Mor, Y., Ferguson, R., & Wasson, B. (2015). Editorial: Learning design, teacher inquiry into student learning and learning analytics: A call for action. British Journal of Educational Technology, 46(2), 221–229. https://doi.org/10.1111/bjet.12273
Mulliner, E., & Tucker, M. (2017). Feedback on feedback practice: Perceptions of students and academics. Assessment & Evaluation in Higher Education, 42(2), 266–288. https://doi.org/10.1080/02602938.2015.1103365
Naidu, S. (2017). How flexible is flexible learning, who is to decide and what are its implications? [Editorial]. Distance Education, 38(3), 269–272. https://doi.org/10.1080/01587919.2017.1371831
Naylor, D. & Nyanjom, J. (2020). Educators’ emotions involved in the transition to online teaching in higher education. Higher Education Research & Development. Advance online publication. http://doi.org/10.1080/07294360.2020.1811645
Nguyen, Q., Rienties, B., Toetenel, L., Ferguson, F., & Whitelock, D. (2017). Examining the designs of computer-based assessment and its impact on student engagement, satisfaction, and pass rates. Computers in Human Behavior, 76, 703–714. https://doi.org/10.1016/j.chb.2017.03.028
Nikolova, I., & Collis, B. (1998). Flexible learning and design of instruction. British Journal of Educational Technology, 29(1), 59–72. https://doi.org/10.1111/1467-8535.00046
Owen, M., Kavanagh, P., & Dollard, M. (2017). An integrated model of work–study conflict and work–study facilitation. Journal of Career Development, 45(5), 504–517. https://doi.org/10.1177/0894845317720071
Putney, L. G. (2010). Case study. In N. J. Salkind (Ed.), Encyclopedia of research design (Vol. 1, pp. 115–119). Sage Publications. https://doi.org/10.4135/9781412961288.n39
Ritchie, J., Lewis, J., Elam, G., Tennant, R., & Rahim, N. (2014). Designing and selecting samples. In J. Ritchie, J. Lewis, C. M. Nicholls, & R. Ormston (Eds.), Qualitative research practice: A guide for social science students and researchers (pp. 111–146). Sage Publications.
Sánchez-Gelabert, A., Valente, R., & Duart, J. M. (2020). Profiles of online students and the impact of their university experience. International Review of Research in Open and Distributed Learning, 21(3), 230–249. https://doi.org/10.19173/irrodl.v21i3.4784
Sangrà, A. (2002). A new learning model for the information and knowledge society: The case of the Universitat Oberta de Catalunya (UOC), Spain. International Review of Research in Open and Distributed Learning, 2(2), 1–19. https://doi.org/10.19173/irrodl.v2i2.55
Schreier, M. (2016). Qualitative content analysis in practice. Sage Publications.
Simpson, O. (2003). Student retention in online, open and distance learning. Routledge. https://www.routledge.co.uk/Student-Retention-in-Online-Open-and-Distance-Learning/Simpson/p/book/9780749439996
Simpson, O. (2013). Student retention in distance education: Are we failing our students? Open Learning, 28(2), 105–119. http://doi.org/10.1080/02680513.2013.847363
Soffer, T., Kahan, T., & Nachmias, R. (2019). Patterns of students’ utilization of flexibility in online academic courses and their relation to course achievement. International Review of Research in Open and Distributed Learning, 20(3). https://doi.org/10.19173/irrodl.v20i4.3949
Stone, C., & O’Shea, S. (2019). Older, online and first: Recommendations for retention and success. Australasian Journal of Educational Technology, 35(1), 57–69. https://doi.org/10.14742/ajet.3913
Trotter, E., & Roberts, C. A. (2006). Enhancing the early student experience. Higher Education Research & Development, 25(4), 371–386. https://doi.org/10.1080/07294360600947368
Veletsianos, G., & Houlden, S. (2019). An analysis of flexible learning and flexibility over the last 40 years of Distance Education. Distance Education, 40(4), 454–468. https://doi.org/10.1080/01587919.2019.1681893
Veletsianos, G., Kimmons, R., Larsen, R., & Rogers, J. (2021). Temporal flexibility, gender, and online learning completion. Distance Education, 42(1), 22–36. http://doi.org/10.1080/01587919.2020.1869523
Weimer, M. (2013). Learner-centered teaching: Five key changes to practice (2nd ed.). Jossey-Bass. https://www.wiley.com/en-us/Learner+Centered+Teaching%3A+Five+Key+Changes+to+Practice%2C+2nd+Edition-p-9781118119280
Willging, P. A., & Johnson, S. D. (2009). Factors that influence students’ decision to dropout of online courses. Journal of Asynchronous Learning Networks, 13(3), 115–127. https://files.eric.ed.gov/fulltext/EJ862360.pdf
Woodley, A., & Simpson, O. (2014). Student dropout: The elephant in the room. In O. Zawacki-Richter & T. Anderson (Eds.), Online distance education: Towards a research agenda (pp. 459–485). Athabasca University Press. https://doi.org/10.15215/aupress/9781927356623.01
Xavier, M., & Meneses, J. (2020). Dropout in online higher education: A scoping review from 2014 to 2018. eLearn Center, Universitat Oberta de Catalunya. https://doi.org/10.7238/uoc.dropout.factors.2020
Yin, R. K. (2002). Case study research: Design and methods (3rd ed.). Sage Publications.
Young, S. (2006). Student views of effective online teaching in higher education. The American Journal of Distance Education, 20(2), 65–77. https://doi.org/10.1207/s15389286ajde2002_2
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