2026 Vol.9 Aug.N04

• Title: Semantic understanding and generation of classroom interaction driven by educational model
• Name: ZiAng Chen
• Company: University College London，London，WC1H 0AL
• Abstract:

  Mainstream classroom interactive semantic understanding and generation methods mostly rely on general artificial intelligence model to complete text analysis and content output, and rely on surface text keyword matching and fixed generation template as a whole. However, the generation quality is poor because the cognitive level and implicit teaching information of teacher-student interaction content are not deeply excavated. Therefore, this paper puts forward the semantic understanding and generation of classroom interaction driven by educational model. Quantify the characteristics of classroom context from the aspects of subject attributes, teaching links and interactive subjects, and transform fuzzy classroom scene information into quantifiable and reusable operational parameters. The cognitive depth, semantic level and teaching value of interactive content are dismantled through multi-layer quantization operation, and the hidden learning cognitive information in teacher-student interaction sentences is accurately mined, breaking through the traditional method of only identifying the short board of surface text. Combining students' real-time cognitive level and classroom teaching needs, we dynamically optimize the generation logic, constrain the adaptive dimension and interactive style of generated content, and realize personalized and situational classroom semantic content output. In the experiment, the quality of the proposed method is tested. Through the test and comparison results, it is clear that when the proposed method is used for semantic understanding and generation of classroom interaction, the average adaptation degree of semantic scene reaches 93.8%, which has an ideal generation effect.

  
  

• Keyword: education model; Classroom interaction; Semantic understanding; Semantic generation; Context modeling; Hierarchical semantic parsing;
• DOI: 10.12250/jpciams2026090808
• Citation form: ZiAng Chen.Semantic understanding and generation of classroom interaction driven by educational model[J]. Computer Informatization and Mechanical System,2026,Vol.9,pp.

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