Large Language Models: Empowering Educational Reform and Innovation

Abstract

The rapid advancement of artificial intelligence technology has opened new possibilities for educational reform through Large Language Models (LLMs). This research uses the 'Marketing Skills Sandbox Training' course as a case study to introduce the 'Large Language Model Structured Teaching Method' (LLM-STM). The method implements a four-step cycle of 'Lecture, Imitation, Practice, Evaluation' to explore pathways for deep integration of technology with teaching. The project combines cognitive learning theory, constructivism, and social learning theory to optimize course content and practical components. A mixed evaluation approach validates the reform outcomes. Research findings indicate that performance expectancy and facilitating conditions of LLMs significantly impact learning effectiveness. This study provides both theoretical and practical references for the digital transformation of vocational education.