生成式AI重构“数据库原理”教学：从模块化到个性化路径生成

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中图分类号：G642 文献标识码：A文章编号：1006-8228（2025）12-107-04

Generative AI Reconstructs the Teaching of "Database Principles"： From Modularization to Personalized Path Generation

ChenWeihong，Deng Xiaofei，Cai Xiaomin

（CollegeofomputerdrtficialIntellgnceHnnUnieityofnancendEcoomicangshaHnnn）

Abstract：Inresponsetothelimitationsoftraditionalteachingmodelsinadressngstudents’personalizedlearningneedsandtheir owndynamicadjustmentcapabilities，thispaperproposesagenerativeA-ntegratedteachingeconstructionframeworkusingthe DatabasePrinciplescourseasacasestudy.ByconstructingmodularknowledgeunitsandagenerativeAI-drivenadaptiveengine， dynamicgenerationandoptimizationofpersonalizedlearingpathwaysareachieved.Thisframeworknotonlysupportsreal-time personalizedcontentrecommendationandinteligenttutoringbasedonstudents’cognitivestatesbutalsointroducesformative evaluationandfeedbackmechanisms，significantlyehancingteachingprecisionandinteractivityExperimentsdemonstratethatthis modelmarkedlyimprovesstudents’acadmicperformanceclasroomengagement，andself-directedleaingcapablitieshisstudy providestheoreticalinsightsandanimplementablepracticalparadigmforinovativeteachingmodelsempoweredbygenerativeAI contributingimportantlyto the advancement of intelligent education.

Keywords：Teaching Model Reconstruction;GenerativeAI；Modular Design； Personalized Learning

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随着人工智能（ArtificialIntelligence，AI）技术的蓬勃发展，教育领域正迎来深刻变革。（剩余5252字）