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Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

The prediction of student engagement from the online tutoring videos is difficult because engagement is a multidimensional construct comprising distinct behavioral, emotional, and cognitive states. A reliable prediction requires bringing together different types of behavioral signals as well as expressive cues. Through our analysis of the CASED dataset, it is clear that engagement prediction gets even harder due to the high inter-person variability as well as the subjectivity of the engagement annotation. To tackle these challenges, we develop a multimodal framework that integrates the implici

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