AIGC技术在软件编程项目式教学中的探索  

Exploration of AIGC Technology in Project-based Software Development Teaching

作　　者：周颖平[1] 周立峰[1] Zhou Yingping;Zhou Lifeng(Shazhou Professional Institute of Technology,Zhangjiagang 215600,Jiangsu,China)

机构地区：[1]沙洲职业工学院,江苏张家港215600

出　　处：《沙洲职业工学院学报》2024年第3期6-11,共6页Journal of Shazhou Professional Institute of Technology

摘　　要：本文探讨了AIGC(生成式人工智能)技术在软件编程项目式教学中的重要意义,通过构建基于AIGC技术的模型实现个性化学习路径设计、动态生成教学资源、实时反馈与指导以及模拟真实项目环境等功能,以期提升学生编程技能、创新能力及团队协作能力。同时指出实际应用中存在技术门槛高、数据难题、算法适应性、学生接受度、隐私伦理问题和资源投入等挑战,并提出了相应的应对策略,包括教师培训、数据合作、持续优化算法、保护隐私和提供技术支持等。未来,AIGC技术有望进一步革新软件编程教学模式。This paper explores the significant implications of AIGC(Generative Artificial Intelligence)technology in project-based software development teaching.By constructing a model based on AIGC technology,it achieves functions such as personalized learning path design,dynamic generation of teaching resources,real-time feedback and guidance,and simulation of real project environments.The aim is to enhance students'programming skills,innovation abilities,and teamwork collaboration.At the same time,it points out the challenges in practical applications,including high technical barriers,data challenges,algorithm adaptability,student acceptance,privacy and ethical issues,and resource investment.Corresponding strategies are proposed,such as teacher training,data collaboration,continuous algorithm optimization,privacy protection,and providing technical support.In the future,AIGC technology is expected to further revolutionize the teaching model of software development.

关 键 词：AIGC技术 项目制教学 软件编程教学 

分 类 号：G434[文化科学—教育学]