Research Article
Research on Student Learning Behavior in Smart Classroom Based on Multimodal Data
@INPROCEEDINGS{10.4108/eai.8-9-2023.2340094, author={Jie Jiang and Wenting Yu}, title={Research on Student Learning Behavior in Smart Classroom Based on Multimodal Data}, proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China}, publisher={EAI}, proceedings_a={ICMEIM}, year={2023}, month={11}, keywords={smart classroom; learning behavior; multimodal data}, doi={10.4108/eai.8-9-2023.2340094} }- Jie Jiang
Wenting Yu
Year: 2023
Research on Student Learning Behavior in Smart Classroom Based on Multimodal Data
ICMEIM
EAI
DOI: 10.4108/eai.8-9-2023.2340094
Abstract
The smart classroom empowered by intelligent technology provides rich educational multimodal data for monitoring, evaluating, providing feedback, and early warning of students' learning behavior. This study focuses on multimodal data of students' learning behavior in smart classrooms, and constructs a multimodal data analysis framework based on the three-dimensional dimensions of sound data, image data, and text data. Encode multimodal data that reflects the characteristics of students' learning behavior and qualitatively represent it to form an encoding system.
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