A Systematic Literature Review on Personalised Learning in the Higher Education Context
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Education,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s10758-022-09628-4.pdf
Reference96 articles.
1. Alamri, H. A., Watson, S., & Watson, W. (2021). Learning technology models that support personalization within blended learning environments in higher education. TechTrends, 65(1), 62–78. https://doi.org/10.1007/s11528-020-00530-3
2. Anantharaman, H., Mubarak, A., & Shobana, B. T. (2019). Modelling an adaptive e-learning system using LSTM and random forest classification. In 2018 IEEE Conference on E-Learning, e-Management and e-Services, IC3e 2018, 29–34. https://doi.org/10.1109/IC3e.2018.8632646
3. Apoki, U. C. (2021). The design of waspec: A fully personalised moodle system using semantic web technologies. Computers, 10(5), 1–22. https://doi.org/10.3390/computers10050059
4. Araujo, P., Costa, C., Viana, W., De Lima Veras, N., & Farias, E. J. P. (2020). Automatic personalisation of study guides in flipped classroom: A case study in a distributed systems course. In Proceedings - Frontiers in Education Conference, FIE, October 2020. https://doi.org/10.1109/FIE44824.2020.9274186
5. Azcona, D., Hsiao, I. H., & Smeaton, A. F. (2019). Personalizing computer science education by leveraging multimodal learning analytics. In Proceedings - Frontiers in Education Conference, FIE, October 2018, 1–9. https://doi.org/10.1109/FIE.2018.8658596
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