Predicting Students' Progress in Intelligent Tutoring Systems
Guijia He,
Chengwei Huang,
Steven Yang
et al.
Abstract:Intelligent Tutoring Systems (ITS) are increasingly popular for online learning. These systems use adaptive algorithms to recommend relevant content based on students' profiles. However, instructors need to periodically assess students' performance to ensure learning outcomes and adjust strategies accordingly. Our objective is to predict students' progress in advance, enabling teachers to make quicker decisions and facilitating the iterative process of adaptive algorithms. For this study, we collected a datase… Show more
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