In-depth Research on the Application of Large Models in University Teaching

Abstract

With the continuous emergence of large AI models such as ChatGPT, large models are rapidly driving development and transformation across various fields. This paper mainly studies the application of large models in higher education teaching, using specific examples to analyze the current ways in which large models are applied, and discusses the core differences between shallow and deep applications of large models, exploring how large models can be deeply applied in higher education teaching. The research shows that at present, large models are still at the stage of being auxiliary tools and have not changed the existing methods of higher education. However, with the deep application of large models, the current teaching methods will be reconstructed. In the future, using a fusion architecture of vertical large models, knowledge graphs, and intelligent agents as support, vertical large models can provide more accurate educational services through knowledge construction. Knowledge graphs organize knowledge in a structured manner. Intelligent agents can make teaching more proactive. The collaboration of these three elements will lead higher education towards a new ecosystem..