地方院校AI赋能的"一核四群三阶"化学学科基础课程群建设探索OA

In response to the new demands for chemistry talent cultivation driven by AI technological innovation and the strategic upgrade of education,the basic chemistry course system in local colleges and universities is generally confronted with a triple dilemma:insufficient integration of interdisciplinary knowledge,a lag in transforming cutting-edge technologies into teaching practices,and a lack of precision in personalized student development.To address these issues,this study,grounded in the reality of cultivating science and engineering talents in Guilin University of Technology,has constructed an AI-empowered"One Core,Four Clusters,Three Stages"basic chemistry course system.Centered on cultivating students'core chemistry competencies,this system integrates the four major knowledge course clusters-Inorganic Chemistry,Organic Chemistry,Analytical Chemistry,and Physical Chemistry-by incorporating AI technological tools,forming a progressive three-tiered teaching architecture of"Theory Layer-Tool Layer-Application Layer".Concurrently,an intelligent learning profiling system has been developed to enable data-driven,precise teaching interventions.The construction of this course system has the high potential to effectively enhance students'depth of subject understanding and their ability to apply technology,thereby exploring a replicable path for"AI+Chemistry Education"reform tailored to local colleges and universities.