Long-term student performance prediction using learning ability self-adaptive algorithm

Long-term student performance prediction using learning ability self-adaptive algorithm

Abstract Predicting student performance is crucial for both preventing failure and enabling personalized teaching-and-learning strategies. The digitalization of educational institutions has led to the collection of extensive student learning data over the years. Current research primarily focuses on...

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Những tác giả chính: Yi Ren, Xinjie Yu
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Springer 2024-06-01
Loạt:Complex & Intelligent Systems
Những chủ đề:
Student performance prediction
Educational data ming
Distribution shifts
Domain adaptation
Long-term data
Truy cập trực tuyến:https://doi.org/10.1007/s40747-024-01476-2

Internet

https://doi.org/10.1007/s40747-024-01476-2

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