This chapter explores how AI technologies are transforming learning engagement recognition through a series of case analyses. By leveraging advanced AI models, the research illustrates how emotional, behavioral, and cognitive engagement can be more accurately identified in online education settings. Through the cases presented, the chapter highlights the power of AI in automating the recognition of engagement, particularly in large-scale online environments such as MOOCs. These technologies help overcome the limitations of traditional manual methods, allowing for more efficient and precise analysis of student engagement. In conclusion, the chapter demonstrates how AI empowers the recognition of learning engagement, enabling more accurate and scalable methods for improving educational outcomes and tailoring personalized learning experiences.

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Intelligent Recognition of Learning Engagement Features

  • Zhi Liu,
  • Yao Xiao

摘要

This chapter explores how AI technologies are transforming learning engagement recognition through a series of case analyses. By leveraging advanced AI models, the research illustrates how emotional, behavioral, and cognitive engagement can be more accurately identified in online education settings. Through the cases presented, the chapter highlights the power of AI in automating the recognition of engagement, particularly in large-scale online environments such as MOOCs. These technologies help overcome the limitations of traditional manual methods, allowing for more efficient and precise analysis of student engagement. In conclusion, the chapter demonstrates how AI empowers the recognition of learning engagement, enabling more accurate and scalable methods for improving educational outcomes and tailoring personalized learning experiences.