University Chemistry ›› 2025, Vol. 40 ›› Issue (9): 43-52.doi: 10.12461/PKU.DXHX202410097

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A Preliminary Exploration of AI-Enabled Teaching Reform in General Education Courses: A Case Study of “Chemistry and Human Civilization”

Ling Li1, Yue Weng1, Zuhui Xiang2, Fengwan Guo1   

  1. 1 College of Chemistry and Chemical Engineering, Hubei University, Wuhan 430062, China;
    2 General Education Institute, Hubei University, Wuhan 430415, China
  • Received:2024-10-28 Accepted:2024-12-18 Published:2025-09-16
  • Contact: Ling Li E-mail:lingli@hubu.edu.cn

Abstract: This study addresses prevalent issues in the teaching of general education courses, particularly focusing on the course “Chemistry and Human Civilization”. It emphasizes the enhancement of the course’s “intelligence” through the construction of a knowledge graph, the establishment of AI teaching assistants, the innovation of the SCIENCE teaching model, the elevation of learning task challenges, the reform of evaluation methods, and the strengthening of learning process assessments. The knowledge graph and AI teaching assistant were employed to facilitate personalized learning navigation and precise assessment for students across various disciplines. Initial teaching practice results indicate that AI-enabled teaching reform effectively addresses critical issues in general education, alters both teachers’ and students’ perceptions of such courses, increases student engagement, and enhances scientific literacy and higher-order learning capabilities.

Key words: Knowledge graph, AI teaching assistant, General education, Teaching reform