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Insights into Precision Education Through Multimodal Learning Analytics in STEM Education

  • Chia-Ju Lin,
  • Margus Pedaste,
  • Yueh-Min Huang

摘要

This study aims to explore the application of precision education in STEM education through multimodal learning analytics systems to enhance students’ learning outcomes and knowledge construction behaviors. A quasi-experimental design was implemented, comprising a control group and two experimental groups, the latter of which utilized single-modal and multimodal learning analytics systems, respectively. The results demonstrated significant improvements in learning outcomes for students in the experimental groups compared to the control group, particularly for those using the multimodal learning analytics system. Moreover, the multimodal system was more effective in capturing students’ learning behaviors and interactions, facilitating more effective teaching interventions and guidance. This study underscores the potential of multimodal learning analytics in precision education and its significant impact on improving the quality and outcomes of STEM education.