软件导刊2026，Vol.25Issue(6)：13-20,8.DOI:10.11907/rjdk.251762
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
Exploration of Integration of AIGC Practices in Blended Teaching of"Data Structures and Algorithms"under the New Engineering Paradigm
摘要
Abstract
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.关键词
新工科/数据结构与算法/混合式教学/AIGC技术/教学改革Key words
new engineering/data structures and algorithms/blended learning/AIGC technology/teaching reform分类
社会科学引用本文复制引用
陈洪丽,朱青,祖宝开,林鹏飞,王伟东..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[J].软件导刊,2026,25(6):13-20,8.基金项目
中国高等教育学会2024年度高等教育科学研究规划课题(24GR0204) （24GR0204）
北京市高等教育学会2024年立项重点课题(ZD202432) （ZD202432）
北京工业大学教育教学研究课题(ER2024KCB08) （ER2024KCB08）
北京工业大学教育教学研究课题"数智化绿色化"改革专项(ER2025ZXB017) （ER2025ZXB017）
