Design and Application of College Classroom Teaching Based on Cognitive Fuzzy Learning System

Authors

  • Mingfang Zhou Jiaozuo University Author
  • Yongping Wei Author
  • Yameng Bai Author

DOI:

https://doi.org/10.1234/

Keywords:

cognitive fuzzy learning system, Classroom teaching design, Higher education, Individualized teaching

Abstract

With the rapid development of information technology and the constant change of college education model, traditional classroom teaching methods have been unable to meet students' needs for individuality, flexibility and interaction. Cognitive fuzzy learning system (CFLS), as a new intelligent teaching tool combining Fuzzy Cognitive Map, FCM) and cognitive load theory, provides a new idea for classroom teaching design by dynamically analyzing classroom data and adjusting teaching strategies in real time. This study constructs a dynamic classroom design model based on CFLS, and systematically discusses the application effect of CFLS in college classroom teaching through questionnaire survey, model experiment and classroom application. The results show that CFLS can significantly improve the flexibility and adaptability of classroom design, and promote the double improvement of students' learning effect and teachers' classroom satisfaction. At the same time, CFLS shows good adaptability in different disciplines, and its real-time feedback mechanism can effectively support personalized teaching, adjustment of learning progress and optimization of teaching interaction. Although CFLS has obvious application advantages, this study also found that its adaptability and feedback mechanism in complex classroom scenes need to be further improved. This study not only verifies the potential of CFLS in modern teaching, but also provides practical reference for the construction of intelligent classroom teaching mode in the future.

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Published

13-09-2025

How to Cite

Zhou, M., Wei, Y., & Bai, Y. (2025). Design and Application of College Classroom Teaching Based on Cognitive Fuzzy Learning System. International Journal of Information Management Sciences, 9(1), 69-88. https://doi.org/10.1234/

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