ChatGPT/生成式人工智能促进以知识点为核心的教学模式变革研究

doi:10.16382/j.cnki.1000-5560.2023.07.016

摘要/Abstract

摘要：

本文研究了ChatGPT/生成式人工智能在以知识点为核心的教学模式下的变革作用。作为一种语言生成模型，ChatGPT通过对海量语言数据的学习，能够挖掘单词间的共生关联关系，具备深入的语言理解和组合创新能力。然而在教育领域中，ChatGPT存在过度依赖训练数据、逻辑推理能力弱和新场景处理能力有限等局限性。为了提高ChatGPT在教学场景下生成内容的准确性和针对性，本文提出将ChatGPT与以知识点为核心的教学资源组织方式进行有机结合，通过形成知识点结构图等方式对ChatGPT进行完善，同时提供了几种具体可行的使用ChatGPT辅助教师和学生的方式。最后，本文还探讨了如何将Prompt研究范式与以知识点为核心的教学模式相结合，帮助ChatGPT建立“知识体系”，从而形成一个数据和知识双轮驱动的教育场景的语言生成模型，为教育领域提供更智能化、个性化的服务，推动教育领域的发展和变革。

关键词: ChatGPT, 生成式人工智能；大型语言模型, 知识点, 教学资源组织, 个性化教学

Abstract:

This paper explores the transformative role of ChatGPT in the teaching mode centered on knowledge concepts. As a language generation model, ChatGPT is capable of in-depth language comprehension and innovative combinations by mining the symbiotic relationships between words through massive language data learning. However, in the field of education, ChatGPT faces limitations such as over-reliance on training data, weak logical reasoning ability, and limited ability to handle new scenarios. To overcome these limitations and enhance the accuracy and relevance of ChatGPT’s generated content, this paper proposes an organic combination of ChatGPT with the organization of teaching resources centered on knowledge concepts, and improve ChatGPT by creating structure diagrams of knowledge concepts. Additionally, several specific and feasible ways to assist teachers and students using ChatGPT are also proposed. Finally, this paper discusses how to combine the prompt research paradigm with the teaching mode centered on knowledge concepts to help ChatGPT establish a “knowledge system”. This will enable ChatGPT to become a language generation model driven by both data and knowledge, providing more intelligent and personalized services in the education field, and promoting its development and transformation.

Key words: ChatGPT, AIGC; large language model, knowledge concept, teaching resource organization, personalized learning

陈静远, 胡丽雅, 吴飞. ChatGPT/生成式人工智能促进以知识点为核心的教学模式变革研究[J]. 华东师范大学学报(教育科学版), 2023, 41(7): 177-186.

Jingyuan Chen, Liya Hu, Fei Wu. Investigation into the Transformation of Knowledge-Centered Pedagogy with ChatGPT/Generative AI[J]. Journal of East China Normal University(Educational Sciences), 2023, 41(7): 177-186.

图/表 3

参考文献 0

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