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Practical Research on AI Visual Focus Analysis in Online Teaching

  • Ming-Feng Lee,
  • Guey-Shya Chen,
  • Ming-Zhi Cheng,
  • Hui-Chien Chen,
  • Jian-Zhi Chen

摘要

This project aims to study learners’ visual focus in online learning and their behavior patterns when engaging with different learning media and cognitive processes. It uses AI models and data analysis methods to evaluate learners’ online preferences and information processing. The project consists of three stages: (1) Collecting and Integration: Use visual movement devices to collect learners’ visual movement data and other data to analyze visitors’ visual behavior and identify key eye movement factors. (2) AI Applications: Use AI data mining technologies to identify the visual focus of the target learners through machine learning and data analysis. (3) Integrated Analyses of Online Learning: Optimize online learning design by combining visual focus analysis and information collected in visual mode. Collaborate with companies to establish an “adoption model for visual focus analysis of online education,” which will be verified by the online teaching platform.