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A Unified Interpretable Intelligent Learning Diagnosis Framework for Learning Performance Prediction in Intelligent Tutoring Systems

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成果类型:
期刊论文
作者:
Wang, Zhifeng;Yan, Wenxing;Zeng, Chunyan;Tian, Yuan;Dong, Shi
作者机构:
[Dong, Shi; Tian, Yuan; Wang, Zhifeng; Yan, Wenxing] Cent China Normal Univ, Fac Artificial Intelligence Educ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.
[Zeng, Chunyan] Hubei Univ Technol, Hubei Key Lab High efficiency Utilizat Solar Energ, Wuhan 430068, Peoples R China.
语种:
英文
期刊:
International Journal of Intelligent Systems
ISSN:
0884-8173
年:
2023
卷:
2023
基金类别:
National Natural Science Foundation of China [61501199, 62177022, 61901165]; AI and Faculty Empowerment Pilot Project [CCNUAIFE2022-03-01]; Collaborative Innovation Center for Informatization and Balanced Development of K-12 Education by MOE and Hubei Province [xtzd2021-005]
机构署名:
本校为第一机构
院系归属:
教育信息技术学院
摘要:
Intelligent learning diagnosis is a critical engine of intelligent tutoring systems, which aims to estimate learners' current knowledge mastery status and predict their future learning performance. The significant challenge with traditional learning diagnosis methods is the inability to balance diagnostic accuracy and interpretability. Although the existing psychometric-based learning diagnosis methods provide some domain interpretation through cognitive parameters, they have insufficient modeling capability with a shallow structure for large-scale learning data. While the deep learning-based ...

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