Abstract
This study investigates the transformative role of ChatGPT/Generative Artificial Intelligence in a knowledge-based teaching model. As a language generation model, ChatGPT can explore the symbiotic relationships between words through learning massive language data, and has in-depth language understanding and combinatorial innovation capabilities. In order to improve the accuracy and pertinence of ChatGPT in generating content in teaching scenarios, this article proposes to organically combine ChatGPT with a knowledge centered teaching resource organization method, and improve ChatGPT by forming a knowledge point structure diagram. Additionally, this paper investigates the possibility of combining the Prompt research paradigm with a knowledge-centered teaching model in order to assist ChatGPT in establishing a "knowledge system" and developing a language generation model for educational scenarios that are driven by both data and knowledge.
Published Version
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