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September 24, 2025Open Access

AI-Based Pattern Recognition Model for Enhancing Student Engagement and Supporting Academic Planning

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Authors

HBHuynh Gia BaoCan Tho University

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Implication

AI-based model improves student engagement monitoring and academic planning, suggesting effective learning strategies.

Key Points

  • The proposed AI-based model improves student engagement monitoring, enhancing learning outcomes in virtual environments.
  • Using a novel 3D Convo Flying Fox Neural Network, the model achieved impressive accuracy of 0.995 in engagement tracking.
  • Data analysis employed deep learning techniques to interpret facial expressions and student behavior for better engagement tracking.
  • The findings highlight the potential for AI to automate engagement assessments, suggesting new strategies for academic planning.

Cite This Study

Huynh Gia Bao (2025) studied this question.

synapsesocial.com/papers/68d6d8978b2b6861e4c3ec25https://doi.org/10.21203/rs.3.rs-7644175/v1
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