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A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Feb. 28, 2024, 5:42 a.m. | Zhang Xiong, Haoxuan Li, Zhuang Liu, Zhuofan Chen, Hao Zhou, Wenge Rong, Yuanxin Ouyang
cs.LG updates on arXiv.org arxiv.org
Abstract: Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness. The integration of AI in educational platforms provides insights into academic performance, learning preferences, and behaviors, optimizing the personal learning process. Driven by data mining techniques, it not only benefits students but also provides educators and institutions with tools to craft customized learning experiences. To offer a comprehensive review of recent advancements in …
abstract academic age artificial artificial intelligence arxiv cs.cy cs.lg current data data mining digital digital age education educational educational technology future insights integration intelligence mining performance personalized personalized education platforms prospects review technology trends type
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