Abstract: This paper explores the application of Generative Artificial Intelligence (GAI) in the teaching of the course conference organization and management. Taking 2023-grade students (22 students, traditional teaching) and 2024-grade students (15 students, GAI-assisted teaching) majoring in convention and exhibition planning and management from a private higher vocational college in Guangzhou as research objects, a quasi-control experiment method is adopted. Data are collected through 36 valid questionnaires, in-depth interviews with 11 people, and teaching practice data for analysis. The results show that GAI assistance can significantly accelerate the completion speed of planning frameworks (77.78% of students believe efficiency is improved) and increase innovative points in schemes (33.33% of students think there are more innovative points). However, challenges include insufficient content accuracy (83.33% of students identified need for improvement) et al. Based on these findings, a three-dimensional adaptation model aligning GAI with course knowledge modules was constructed, and optimization suggestions were proposed, providing a reference for teaching reform in the exhibition major within higher vocational education.

Key words: Generative Artificial Intelligence (GAI), Conference organization and management, Three-dimensional adaptation model, Teaching practice, Higher vocational education, Curriculum reform