创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (7): 52-55.

• 教学革新 • 上一篇    下一篇

生成式人工智能辅助会议组织与管理课程教学的实践探索与效果评估

郭丽漫   

  1. 广州涉外经济职业技术学院,广东广州 510540
  • 出版日期:2026-04-10 发布日期:2026-07-01
  • 作者简介:郭丽漫(1989—),女,广东广州人,硕士研究生,讲师,研究方向:会展活动、研学旅行。
  • 基金资助:
    2024年度广东省普通高校青年创新人才类项目(人文社科)“生成式人工智能辅助教学实践的应用探索——以会议组织与管理课程为例”(2024WQNCX173)

Practical Exploration and Effect Evaluation of Generative Artificial Intelligence-Assisted Teaching in the Conference Organization and Management Course

GUO Liman   

  1. Guangzhou International Economics College, Guangzhou Guangdong, 510540, China
  • Online:2026-04-10 Published:2026-07-01

摘要: 该文探索生成式人工智能(GAI)在会议组织与管理课程教学中的应用,以广州某民办高职院校会展专业2023级(22人,传统教学)和2024级(15人,GAI辅助教学)学生为研究对象,采用准对照实验法,通过36份有效问卷、11人深度访谈及教学实践数据收集展开分析;结果显示:GAI辅助能显著加快策划案框架完成速度(有77.78%的学生认为效率提升),增加方案创新点(有33.33%的学生认为创新点较多),但存在内容准确性不足(有83.33%的学生认为需改进)等问题,基于此,构建GAI与课程知识模块的三维适配模型,提出优化建议,为高职会展专业教学改革提供参考。

关键词: 生成式人工智能, 会议组织与管理, 三维适配模型, 教学实践, 高职教育, 课程改革

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

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