Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10786
Title: A Review of AI-Enhanced Personalized Learning Systems: Implications for the Learning Sciences
Authors: Khan, Rubaina
Ghasempour, Erfane
Keywords: Learning Sciences
Issue Date: 2024
Publisher: International Society of the Learning Sciences
Citation: Khan, R. & Ghasempour, E. (2024). A Review of AI-Enhanced Personalized Learning Systems: Implications for the Learning Sciences. In Lindgren, R., Asino, T. I., Kyza, E. A., Looi, C. K., Keifert, D. T., & Suárez, E. (Eds.), Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 (pp. 1694-1697). International Society of the Learning Sciences.
Abstract: This research focuses on recent studies of AI-Enhanced Personalized Learning, organized into three main sections: understanding key aspects, investigating practical methodologies, and elucidating motivations for AI integration into personalized learning to provide insights for future research in learning science. The methodology involves a rapid literature review, emphasizing eligibility criteria and a precise study selection process. The conclusion underscores the importance of seamlessly integrating AI analytics with human-centric approaches in personalized learning, enriching data, and training algorithms for efficiency, alongside emphasizing the role of human oversight.
Description: Short Paper
URI: https://doi.org/10.22318/icls2024.321403
https://repository.isls.org//handle/1/10786
Appears in Collections:ISLS Annual Meeting 2024

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