Exploring the roles of AI-powered e-tutors in enhancing self-directed learning in open distance e-learning courses

Authors

DOI:

https://doi.org/10.38140/ijer-2025.vol7.1.12

Keywords:

Artificial intelligence , self-directed learning, open distance e-learning, e-tutoring, personalised learning

Abstract

Artificial Intelligence (AI) has ushered in a transformative era in education, particularly in the context of Open Distance e-Learning (ODeL). This paper explores the role of AI-powered e-tutors and their potential to revolutionise self-directed learning among students in ODeL courses in South Africa. Self-directed learning, a fundamental pillar of distance education, requires students to be proactive, independent, and motivated. Numerous studies in the fields of AI, ODeL, and Self-Directed Learning (SDL) were reviewed, including case studies involving ODeL institutions, to understand the role of AI-powered e-tutors. This research provides practical insights into using AI-powered e-tutoring to foster self-directed learning. The study allowed for the collection of relevant literature on the given topic that fits the pre-specified eligibility criteria and answers the formulated research questions. The findings underscore the transformative potential of AI-powered e-tutors, including personalised learning experiences, adaptive feedback, real-time support, increased learner engagement and motivation, and enhanced academic performance. The paper also addresses the practical challenges and limitations of implementing AI-powered e-tutoring, such as technology access, data privacy, and the continuous improvement of AI algorithms. The study contributes to the expanding knowledge of AI in education, providing practical insights for academics, policymakers, and technology developers, equipping them with the necessary information to leverage AI to strengthen self-directed learning in ODeL environments. It also outlines the practical implications for future research and practice, highlighting the potential of AI to revolutionise distance learning and empower learners to take control of their educational journeys.

References

Arendse, L. (2020). Slowly but surely: The substantive approach to the right to basic education of the South African courts post-Juma Musjid. African Human Rights Law Journal, 20(1), 285–314. https://orcid.org/0000-0002-2113-6279

Bednar, A. K., Cunningham, D., Duffy, T. M., & Perry, J. D. (1991). Theory into practice: How do we link? In G. J. Anglin (Ed.), Instructional technology: Past, present, and future (pp. 88–101). Libraries Unlimited. https://doi.org/10.1007/BF02297045

Bhandari, B., Chopra, D., & Singh, K. (2020). Self-directed learning: assessment of students’ abilities and their perspective. Advances in Physiology Education, 44(3), 383–386. 10.1152/advan.00010.2020

Bhushan, M., Shingate, R., Shah, T., Vyas, N., & Shirsath, S. (2023). Intelligent tutoring system: Personalised learning plans with AI. http://dx.doi.org/10.13140/RG.2.2.36573.59369

Darvishi, A. A., Khosravi, H. B., Sadiq S. B., Ga?sevi´c D. C., & Siemens, G. (2024). Impact of AI assistance on student agency, Computers & Education, 210, 104967, 1-18. https://doi.org/10.1016/j.compedu.2023.104967

Ertmer P. A., & Newby, T. J. (1993). Behaviourism, cognitivism, constructivism: Comparing critical features from an instructional design perspective. Performance Improvement Quarterly, 6(4), 50–72. https://doi.org/10.1111/j.1937-8327.1993.tb00605.x

Ferrein, A., & Meyer, T. (2012). A brief overview of arti?cial intelligence in South Africa. AI Magazine, 33(1), 99-103. https://doi.org/10.1609/aimag.v33i1.2357

Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to coronavirus pandemic. Asian Journal of Distance Education, 15(1), i–vi. https://doi.org/10.5281/zenodo.3778083

Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis, International Journal of Innovation Studies, 4(4), 134-147. http://doi.org/10.1016/j.ijis.2020.09.001

Khazanchi, R., & Khazanchi, P. (2021). Artificial intelligence in education: A closer look into intelligent tutoring systems. In A. Singh, C. J. Yeh, S. Blanchard, & L. Anunciação (Eds.), Handbook of research on critical issues in special education for school rehabilitation practices (pp. 256–277). IGI Global. https://psycnet.apa.org/doi/10.4018/978-1-7998-7630-4.ch014

Hemachandran, K., Verma, P., Pareek, P., Arora, N., Rajesh Kumar, K. V., Ahanger, T. A., Pise, A. A., & Ratna, R. (2022). Artificial intelligence: A universal virtual tool to augment tutoring in higher education. Computational Intelligence and Neuroscience, 1, 1410448. https://doi.org/10.1155/2022/1410448

Lalitha, T. B., & Sreeja, P. S. (2020). Personalised self-directed learning recommendation system. Procedia Computer Science, 171, 583–592. https://doi.org/10.1016/j.procs.2020.04.063

Letseka, M., Letseka, M. M., & Pitsoe, V. (2018) The challenges of e-learning in South Africa. Trends in E-learning, 121–138. https://doi.org/10.5772/intechopen.74843

Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Annals of Internal Medicine, 151(4), W-65. https://doi.org/10.1371/journal.pmed.1000100

Lin, C. C., Huang, A. Y., & Lu, O. H. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10(1), 41. https://doi.org/10.1186/s40561-023-00260-y

Isik, A. D. (2018, November 10). Use of technology in constructivist approach. Educational Research and Reviews, 13(21), 704–711. https://doi.org/10.5897/ERR2018.3609

Maphalala, M. C., & Adigun, O. T. (2021). Academics' Experience of Implementing E-Learning in a South African Higher Education Institution. International Journal of Higher Education, 10(1), 1-13. https://doi.org/10.5430/ijhe.v10n1p1

Maphalala, M. C., Mkhasibe, R. G., & Mncube, D. W. (2021). Online learning as a catalyst for self-directed learning in universities during the COVID-19 pandemic. Research in Social Sciences and Technology, 6(2), 233–248. https://doi.org/10.46303/ressat.2021.25

Maphosa, C., & Bhebhe, S. (2019). Digital literacy: A must for open distance and e-learning (ODeL) students. European Journal of Education Studies, 5(10), 186-199 https://doi.org/10.1016/j.heliyon.2023.e14878

Marquardson, J., (2024). Embracing Artificial Intelligence to Improve Self Directed Learning: A Cybersecurity Classroom Study. Information Systems Education Journal, 22(1), pp.4-13. https://doi.org/10.62273/WZBY3952

Maré, S., & Mutezo, A. T. (2021). The effectiveness of e-tutoring in an open and distance e-learning environment: Evidence from the University of South Africa. Open Learning: The Journal of Open, Distance and e-Learning, 36(2), 164–180. https://doi.org/10.1080/02680513.2020.1717941

Mbatha, B. T. (2013). Exploring the potential of electronic commerce tools in South African SME tourism service providers. Information Development, 29(1), 1–23. 10.1177/0266666912452270

McConnachie, C., & McConnachie, C. (2012). Concretising the Right to a Basic Education, (2012) 129 South African Law Journal 554.

Morris, T. H., & Rohs, M. (2021). Digitization bolstering self-directed learning for information literate adults–A systematic review. Computers and Education Open, 2, 100048. http://10.1016/j.caeo.2021.100048

Murniati, C. T., Hartono, H., & Nugroho, A. C. (2023). The challenges, supports, and strategies of self-directed learning among college students. Journal of Education and Learning, 17(3), 365–373. http://10.11591/edulearn.v17i3.20744

Ngubane-Mokiwa, S., & Letseka, M. (2015). Shift from open distance learning to open distance e-learning. Open distance learning (ODL) in South Africa, 129, 1-14.Nsamba, A., & Makoe, M. (2017). Evaluating quality of students’ support services in open distance learning. Turkish Online Journal of Distance Education, 18(4), 91–103. https://doi.org/10.17718/tojde.340391

Nguyen, T. T., Thuan, H. T., & Nguyen, M. T. (2023). Artificial intelligence (AI) in teaching and learning: A comprehensive review. ISTES Books, 140–161.

Perrotta, C., & Selwyn, N. (2020). Deep learning goes to school: toward a relational understanding of AI in education. Learning, Media, and Technology, 45(3), 251–269. https://doi.org/10.1080/17439884.2020.1686017

Paramythis, A., & Loidl-Reisinger, S. (2003). Adaptive learning environments and e-learning standards. In R. Williams (Ed.), Second European conference on e-learning (Vol. 1, No. 2003, pp. 369-379). Academic Conferences Limited.

Rizvi, S. (2023). Revolutionizing student engagement: Artificial intelligence’s impact on specialized learning motivation. International Journal of Advanced Engineering Research and Science, 10(9), 27-31. https://dx.doi.org/10.22161/ijaers.109.4

Paek, S., & Kim, N. (2021). Analysis of worldwide research trends on the impact of artificial intelligence in education. Sustainability, 13(14), 7941. https://doi.org/10.3390/su13147941

Robert, A. (2024). Investigating the effectiveness of AI tutors in developing personalized learning paths for students (No. 13031). EasyChair.

Robert, A., Potter, K., & Frank, L. (2023). The Impact of artificial intelligence on Students' learning experience. Wiley Interdisciplinary Reviews: Computational Statistics, 1-16. http://dx.doi.org/10.2139/ssrn.4716747

Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being, American Psychological Association, 55(1), 68–78. https://doi.org/10.1037110003-066X.55.1.68

Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions, Contemporary Educational Psychology, 61, 101860. https://doi.org/10.1016/j.cedpsych.2020.101860

Sedio, M. (2022). E-tutors’ instructional strategies in teaching the design process in virtual classroom: A case in an Open Distance eLearning (ODeL) environment. Journal for the Education of Gifted Young Scientists, 10(2), 137–147. https://doi.org/10.17478/jegys.1059533

Shah, R. K. (2019). Effective constructivist teaching learning in the classroom. International Journal of Education, 7(4), 1–13. https://doi.org/10.34293/education.v7i4.600

Tanyanyiwa, V. I., & Madobi, R. (2021). Challenges to the effective teaching and learning of geography through ODeL at the Zimbabwe Open University. Journal of Learning for Development, 8(2), 364–382. https://doi.org/10.56059/jl4d.v8i2.427

Thampinathan S. (2022). The application of the constructivism learning theory to physician assistant students in primary care. Education Health, 35, 26–30.

Tinterri, A., di Padova, M., Basta, A., & Dipace, A. (2024). AI Specialist – a new professional figure for higher education. Journal of Inclusive Methodology and Technology in Learning and Teaching, 4(1), 1-10. https://doi.org/10.32043/jimtlt.v4i1.140

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence?informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375

Wakahiu, J. P., & Kangethe, S. P. (2014). Efficacy of online distance learning: lessons from the Higher Education for Sisters in Africa Program. European Journal of Research and Reflection in Educational Sciences, 2(1), 25.

Wong, G., Greenhalgh, T., Westhorp, G., Buckingham, J., & Pawson, R. (2013). RAMESES publication standards: Meta?narrative reviews. Journal of Advanced Nursing, 69(5), 987–1004. https://doi.org/10.1186/1741-7015-11-20

Zaid, Y. A. & Alabi, A. O. (2021). Open learning: Sustaining open educational resources (OER) initiatives in Nigerian universities. The Journal of Open, Distance and e-Learning, 36(2), 181–197. https://doi.org/10.1080/02680513.2020.1713738

Zhang, J., Burgos, D., & Dawson, S. (2019). Advancing open, flexible and distance learning through learning analytics. Distance Education, 40(3), 303–308. https://doi.org/10.1080/01587919.2019.1656151

Zhu, M., & Bonk, C. J. (2022). Guidelines and strategies for fostering and enhancing self-directed online learning. Open Learning. The Journal of Open, Distance and e-Learning, 1–17. https://psycnet.apa.org/doi/10.1080/02680513.2022.2141105

Zongozzi, J. N. (2022). Accessible quality higher education for students with disabilities in a South African open distance and e-learning institution: Challenges. International Journal of Disability, Development and Education, 69(5), 1645–1657. https://doi.org/10.1080/1034912X.2020.1822518

Published

2025-03-31

How to Cite

Maphalala, M. C., Mkhasibe, R. G., & Mncube, D. W. (2025). Exploring the roles of AI-powered e-tutors in enhancing self-directed learning in open distance e-learning courses. Interdisciplinary Journal of Education Research, 7(1), a12. https://doi.org/10.38140/ijer-2025.vol7.1.12