AI赋能的电路基础课程分层教学路径构建研究

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中图分类号:G712

文献标识码:A DOI:10.16400/j.cnki.kjdk.2025.29.003

Research onthe Construction ofHierarchical Teaching Path for Basic Circuit Course Empowered by AI

ZHAO Qikai, SUNPan

(DepartmentofIntelligentEquipment,ChangzhouCollegeofInformation Technology,Changzhou,Jiangsu )

AbstractThearticlefocuses onexploring theconstructionofalayered teaching path forAIenabledcircuit foundation courses.Firstlyasedoultidimensionalaingdataanalysis,amiclamerprofilesonstructedanustering algorithmsareusedtoachieveaccuatestratificationofsudents.Secondlybasedonthecircuitknowledgegraph,design athree-levelteaching content systemof"Basic-Advanced-Extended,and userecommendationalgorithms toachieve intelligentmatching between teachingresourcesandleamerlevels.Finalyanadaptivelearming pathdynamicadjustment mechanism is developed to monitor students'learning behavior data inreal-time,optimize teaching paths using reinforcementlearningalgorithms,andsupportstudents'flexibledevelopmentacrosslevels.Thisstudyprovidesascalable practical paradigm for the intelligent teaching reform of circuit foundation courses.

KeywordsAI empowerment; basic circuit course;hierarchical teaching

电路基础课程的内容日益复杂,学生知识储备与学习能力的差异逐渐凸显,传统“一刀切"的教学模式难以满足学生个性化的学习需求,导致部分学生跟不上进度或学有余力却得不到拓展。(剩余4653字)

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