THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) IN ODEL PROVISIONING: A SYSTEMATIC LITERATURE REVIEW
DOI:
https://doi.org/10.46827/ejoe.v8i3.5210Keywords:
artificial intelligence, ODeL, teaching and learning, PRISMAAbstract
With the introduction of online courses and exams, technology is having a significant impact on both teaching and learning. Since distance educators are frequently early adopters of new technologies, institutions offering Open Distance e-Learning (ODeL) now provide online learning programs. Artificial intelligence (AI) is an example of a cutting-edge technology that is redefining standards for online learning. In order to improve their ODeL offerings, ODeL institutions must make use of AI, a cutting-edge technology with lots of potential. To study the role of AI in ODeL, a thorough literature review was conducted. 16 papers were selected for the final synthesis out of the 246 publications that were initially found from 2019 to 2023 based on specified inclusion and exclusion criteria.References
Al-Shaikhli, A. R. F. (2021). Estimation of students’ performance in distance education using ensemble-based machine learning. Education and Information Technologies, 26(2), 1655-1677. https://doi.org/10.1007/s10639-020-10353-1
Anoop Kumar, Noble, S. U., & Kim, B. (2021). AI for the underprivileged: A framework for building inclusive AI solutions. AI Magazine, 42(2). https://doi.org/10.1609/aimag.v42i2.5379
Aydoğdu, Ş. (2021). Predicting student final performance using artificial neural networks in online learning environments. Education and Information Technologies, 26(1), 661-680. https://doi.org/10.1007/s10639-020-10228-5
Bates, T., Marín, V. I., Giaccobe, M., & Hoisl, B. (2021). Can artificial intelligence transform higher education?. International Journal of Educational Technology in Higher Education, 18(1), 1-22. https://doi.org/10.1186/s41239-021-00290-x
Cavalcanti, A. P., da Costa, C., da Rocha, H. V., & Favero, E. L. (2020). Automatic feedback in online learning environments: A systematic literature review. Computers & Education, 147, 103789. https://doi.org/10.1016/j.compedu.2019.103789
Chen, X., Deng, X., Chai, K., So, H. J., & Qiao, Z. (2022). Application and theory gaps during the rise of artificial intelligence in education. Computers & Education, 172, 104239. https://doi.org/10.1016/j.compedu.2021.104239
Cruz-Benito, J., López-García, E., & Sánchez-Alonso, S. (2021). The ethics of artificial intelligence in education: A review of the literature. Educational Technology Research and Development. https://doi.org/10.1007/s11423-021-10004-x
Dogan, M. E., Dogan, T. G., & Bozkurt, A. (2023). The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies. Applied Sciences, 13(5), 3056. https://doi.org/10.3390/app13053056
Fadzil, M., & Munira, T. A. (2008, August). Applications of artificial intelligence in an open and distance learning institution. In 2008 International Symposium on Information Technology (Vol. 1, pp. 1-7). IEEE. https://doi.org/10.1109/ITSIM.2008.4632043
Gao, P., Li, J., & Liu, S. (2022). An introduction to key technology in artificial intelligence and big data driven e-learning and e-education. Mobile Netw Appl 26. https://doi.org/10.1007/s11036-021-01777-7
Gautam, A., & Dua, A. (2020). Applications of artificial intelligence in open and distance learning. New Delhi Publishers.
Guan, C., Mou, J., & Jiang, Z. (2022). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. Computers & Education, 174, 104360. https://doi.org/10.1016/j.compedu.2022.104360
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. SAGE Open, 13(1). https://doi.org/10.1177/21582440231162868
Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M., Păun, D., & Mihoreanu, L. (2022). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Applied Sciences, 12(9), 4552. https://doi.org/10.3390/app12094552
Kurjak, A. (2020). Distance learning and artificial intelligence: New challenges for Donald School educational activities. Donald School Journal of Ultrasound in Obstetrics and Gynecology, 14(4), 381-388. https://doi.org/10.5005/jp-journals-10009-1706
Pretorius, R., Carow, S., Wilson, G., & Schmitz, P. (2021). Using real-world engagements for sustainability learning in ODeL in the Global South: Challenges and opportunities. International Journal of Sustainability in Higher Education. https://doi.org/10.1108/IJSHE-08-2020-0287
Selvaraju, K., Srinivasan, S., & Murugan, M. (2022). Deep learning for student performance prediction. Journal of Educational Data Mining, 14(1), 127-152. https://doi.org/10.555/jedm.v14i1.127
Seo, K., Tang, J., Roll, I., Kim, N., & Aleven, V. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), 1-18. https://doi.org/10.1186/s41239-021-00292-9
Tausczik, Y. R., & Pennebaker, J. W. (2023). The impact of AI chatbots on academic integrity: A review of the literature. Educational Technology Review, 33(1), 1-21.
Uğur, S., & Kurubacak, G. (2019). Technology management through artificial intelligence in open and distance learning. In Handbook of research on challenges and opportunities in launching a technology-driven international university (pp. 338-368). IGI Global. http://doi:10.4018/978-1-5225-7507-8.ch016
Woolf, B.P. (2010). Two decades of artificial intelligence in education: What have we learned?. In 20 Years of Practical Applications of Agents and Multiagent Systems: the PAAMS Collection (pp. 21-28). Springer, Berlin, Heidelberg.
Retrieved from https://www.jstor.org/stable/43854860
Van Eck, R. N. (2020). The future of learning: Artificial intelligence and education. Springer.
Xiaogang, L. (2018). A research on distance education system based on artificial intelligence technology. International Journal of Emerging Technologies in Learning, 13(09), 60-71. https://doi.org/10.3991/ijet.v13i09.8434
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).


