AI-Empowered Reform of University Event Planning Courses: Theory and Practice

Abstract

As a core course for students majoring in planning, the event planning course aims to cultivate students' creative, planning, communication, implementation and matching skills related to job market activity planning positions. However, in the face of the strong impact of AI on different industries in the market, different knowledge points taught in traditional planning courses are being directly replaced by different AI tools. The purpose of this paper is to systematically explore how artificial intelligence can empower the activity planning course in colleges and universities to carry out the whole chain reform before, during and after class. This paper first traces and combs the theoretical basis of pedagogy that supports this round of reform in the AI era. Then, the whole process AI integration scenario from curriculum design, content generation, interactive teaching to intelligent evaluation is constructed. On this basis, this paper deeply analyzes the core challenges in the process of teaching reform. Finally, this paper looks forward to the future form of activity planning education. The purpose of this study is to provide a set of curriculum reform reference with both theoretical depth and practice for educators in related majors in colleges and universities.