Journals / Journal of Educational Technology and Online Learning / 2023 / Cilt: 6 Sayı: 3

Drop-out among ODL learners: A case study at the Open University of Mauritius

Pages
665–682
Publication Date
2023-09-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This is also because OU has maximised on technology to reach out to learners, hence mitigating isolation.

📌 3 Key Takeaways

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Objective & Hypothesis:Dropout is a global and complex phenomenon affecting all universities.
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Key Findings & Data:Secondary data about 1885 learners were collected for five intakes and three levels of study - foundation, undergraduate and Master courses.
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Conclusion & Impact:This is also because OU has maximised on technology to reach out to learners, hence mitigating isolation.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Attrition · dropout · open and distance learning

Abstract

Dropout is a global and complex phenomenon affecting all universities. This study aimed at investigating the intrinsic and extrinsic factors causing dropout at the Open University of Mauritius (OU). Secondary data about 1885 learners were collected for five intakes and three levels of study - foundation, undergraduate and Master courses. The dropout rates were 46.08%, 39.14% and 17.31% respectively, showing that those with previous tertiary education were less likely to drop out of studies. Analysis of data from 96 completed questionnaires revealed that female learners were more persistent in their studies while mature students were less likely to drop out from university. Personal and career-related issues were the major causes leading to attrition at OU. Sub causes included wrong choice in programmes, inadequate tutorial support and lack of employer’s support. Corrective actions suggested include providing counselling sessions before registration and during studies, implementing strategies to help students develop time management skills, developing courses in line with industry requirements and improving tutor’s support. The low attrition rate at OU is probably because most of its learners are working adults who are able to shoulder learning with greater responsibility. This is also because OU has maximised on technology to reach out to learners, hence mitigating isolation.

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Cite This Article

APPAVOO, P., GUNGEA, M., SOHORAYE, M. (2023). Drop-out among ODL learners: A case study at the Open University of Mauritius. Journal of Educational Technology and Online Learning, Cilt: 6 Sayı: 3, 665–682. https://ajindex.com/articles/964462

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References (9)

  1. Alias, N. A., & Jamaludin, H. (2005). The aches of online distance learning: A synthesis of three Malaysian studies. Asian Journal of Distance Education, 3(2), 48-54.
  2. Aljohani, O. (2016). A Comprehensive Review of the Major Studies and Theoretical Models of Student Retention in Higher Education. Higher education studies, 6(2), 1-18. https://doi.org/10.5539/hes.v6n2p1
  3. Arhin, V., & Wang'eri, T. (2018). Orientation Programs and Student Retention in Distance Learning: The Case of University of Cape Coast. Journal of Educators Online, 15(1), 5-12. https://doi.org/10.9743/jeo2018.15.1.6
  4. Bağrıacık Yılmaz, A., & Karataş, S. (2022). Why do open and distance education students drop out? Views from various stakeholders. International Journal of Educational Technology in Higher Education, 19(1), 1-22. https://doi.org/10.1186/s41239-022-00333-x
  5. Berge, Z. L., & Huang, Y. P. (2004). A Model for Sustainable Student Retention: A Holistic Perspective on the Student Dropout Problem with Special Attention to e. Learning, Deosnews, 13(5), 1-26. https://doi.org/10.13016/m2eedf-fwrm
  6. Boyles, L. W. (2000). Exploration of a retention model for community college students. The University of North Carolina at Greensboro. (Doctoral dissertation). Available from ProQuest Dissertation and These databases. (UMI No. 304609763). Casanova, J. R., Cervero Fernández-Castañón, A., Núñez Pérez, J. C., Almeida, L. S., & Bernardo Gutiérrez, A. B. (2018). Factors that determine the persistence and dropout of university students. Psicothema, 30(4), 408 – 414. Delnoij, L. E., Dirkx, K. J., Janssen, J. P., & Martens, R. L. (2020). Predicting and resolving non-completion in higher (online) education – A literature review. Educational Research Review, 29, 100313. https://doi.org/10.1016/j.edurev.2020.100313
  7. Fraser, J., Fahlman, D. W., Arscott, J., & Guillot, I. (2018). Pilot testing for feasibility in a study of student retention and attrition in online undergraduate programs. The International Review of Research in Open and Distributed Learning, 19(1), 261-266. https://doi.org/10.19173/irrodl.v19i1.3326
  8. Fozdar, B. I., Kumar, L. S., & Kannan, S. (2006). A survey of a study on the reasons responsible for student dropout from the Bachelor of Science Programme at Indira Gandhi National Open University. International Review of Research in Open and Distributed Learning, 7(3), 1-15. https://doi.org/10.19173/irrodl.v7i3.291
  9. Frydenberg, J. (2007). Persistence in university continuing education online classes. I