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Online teaching emotion analysis based on GRU and nonlinear transformer algorithm.

Lan Ding1

  • 1College of Tea Science, Xinyang Agriculture and Forestry University, Xinyang, China.

Peerj. Computer Science
|December 11, 2023
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Summary
This summary is machine-generated.

This study introduces an AI tool for analyzing virtual classroom emotions using multimodal data. The Transformer-based model accurately assesses student sentiment, improving educational engagement analysis.

Keywords:
GRUOnline teachingSentiment analysisTransformer

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Area of Science:

  • Artificial Intelligence
  • Educational Technology
  • Affective Computing

Background:

  • Analyzing classroom emotions is crucial for understanding student engagement.
  • Traditional methods struggle with the complexity of multimodal emotional data.
  • Neural networks offer potential for autonomous feature extraction in sentiment analysis.

Purpose of the Study:

  • To develop an online auxiliary tool for analyzing emotional states in virtual classrooms.
  • To leverage the nonlinear vision algorithm Transformer for sentiment analysis.
  • To improve the accuracy of automatic emotion detection in educational settings.

Main Methods:

  • Utilized multimodal fusion of auditory, facial expression, and text data.
  • Developed a modal feature extractor with convolutional and Gated Recurrent Unit (GRU) architectures.
  • Proposed a cross-modal Transformer algorithm for enhanced multimodal information processing.

Main Results:

  • The proposed model demonstrated superior training performance compared to similar methods.
  • Achieved high performance metrics: recall (0.8587), precision (0.8365), accuracy (0.8890), and F1-score (0.8754).
  • The model accurately captures students' emotional states in virtual learning environments.

Conclusions:

  • The developed tool offers superior accuracy in assessing student emotional states.
  • This research has significant implications for evaluating student engagement in educational courses.
  • AI-driven sentiment analysis can enhance virtual learning experiences.