In-depth Exploration of AI-empowered Teaching Reform in "Crystallography and Mineralogy" Course: A Case Study of Shandong Institute of Petroleum and Chemical Technology

With the rapid development of artificial intelligence technology, the education sector is undergoing profound transformation. As a foundational course for geology, materials science, and other disciplines, traditional teaching models of "Crystallography and Mineralogy" face limitations in visual teaching, practical ability cultivation, and personalized learning. Taking Shandong Institute of Petroleum and Chemical Technology as an example, this paper explores the application pathways of AI technology in the teaching reform of the "Crystallography and Mineralogy" course. By analyzing the current teaching status and combining the characteristics of AI technology, specific strategies are proposed from four dimensions: optimization of teaching content, innovation of teaching methods, construction of practical systems, and reform of evaluation models. The aim is to build a new teaching model integrating "AI+Education", enhance students' theoretical cognition, practical ability, and innovative thinking, and provide reference for cultivating high-quality professionals to meet the needs of the intelligent era.