新工科背景下数据结构与算法课程混合式教学融合AIGC实践探索OA

With the advancement of new engineering education,teaching reforms for data structures and algorithms—core courses in comput-er science programs—face heightened demands.Simultaneously,the"AI+"revolution is transforming education.This paper focuses on teach-ing challenges in data structures and algorithms courses within the new engineering context,exploring novel approaches that integrate AIGC technology with blended learning models.The study first analyzes the shortcomings of traditional teaching models in areas such as student en-gagement,practical training,and personalized learning support,alongside the advantages of combining blended learning with AIGC.Subse-quently,a hybrid innovative teaching model is constructed:"Pre-class(online AIGC-assisted self-directed learning)+In-class(offline flipped classroom for in-depth discussion)+Post-class(online+offline reinforcement and assignment completion)."Specific application sce-narios for AIGC are designed across visualization tools,intelligent assessment,real-world application scenarios,and code large-model-as-sisted practice.Finally,this innovative model was validated through teaching practice,aiming to provide reference for teaching reform in foun-dational computer science courses under the new engineering discipline framework.