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Multimodal data-supported learning engagement analysis
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DOI：10.1080/1475939X.2025.2465437.png)
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摘要
En 中文
Learning engagement is a key indicator of online learning. Given that interpretable learning engagement analysis method with multimodal data is to be explored, a multimodal data supported learning engagement analysis method was proposed and validated in this study. Specifically, 179 students' behavioral, posting, and facial expression data during online learning were collected to analyze students' engagement. The analysis result indicates that students' behavioral data supported behavioral engagement analysis is consistent with their self-reported result (accuracy = 0.961, kappa = 0.875). The consistency analysis with the self-reported learning engagement results also supported the validity of the content data supported cognitive engagement analysis and facial expression data supported emotional engagement analysis. The relationship between students' learning engagement and learning performance indicated that students' behavioral and cognitive engagement were significantly correlated to their learning performance. This study proposes a reliable interpretable method for multimodal data supported learning engagement analysis.
Keyword:
Online learning
multimodal data
learning engagement
learning performance
期刊
IF:
2.5
论文数:
638
被引数:
1.3K
机构
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OAAI
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