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A Bilateral Self-Recursive ‘STA’ Contextualized Teaching Framework Based on Generative Artificial Intelligence

Author

Listed:
  • Xiang Li

    (Beijing Institute of Graphic Communication)

  • Han Zhang

    (Beijing Institute of Graphic Communication)

  • Shaozhong Cao

    (Beijing Institute of Graphic Communication)

Abstract

Education is vital for the development of the country. However, there are students who experience boredom during the school year, which undoubtedly leads to a decline in their learning status. Studies have shown that using contextualized exercises can boost students’ interest, but it would be very exhausting for teachers to consider each student's interest. With the development of generative AI, we can utilize large language models to help us do this. In this paper, we validate the capability of the ChatGPT model and propose a bilateral self-recursive STA contextualized teaching framework based on generative AI, and explore the application of AI in education.

Suggested Citation

  • Xiang Li & Han Zhang & Shaozhong Cao, 2025. "A Bilateral Self-Recursive ‘STA’ Contextualized Teaching Framework Based on Generative Artificial Intelligence," Lecture Notes in Operations Research,, Springer.
    • Handle: RePEc:spr:lnopch:978-981-96-9697-0_9
    DOI: 10.1007/978-981-96-9697-0_9
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