摘要
针对民办高校学生基础薄弱、在编程学习过程中普遍存在畏难情绪的问题,提出一种结合生成式人工智能(AIGC)技术和游戏化教学策略的教学模式,具体阐述教师如何通过AIGC辅助备课、生成游戏化任务、分析学生的学习情况,以及学生如何利用AI助手获得实时反馈并通过动态难度调整机制进行个性化学习,以Python语言程序设计课程为例介绍具体教学实施过程,并分析总结教学效果。
Aiming at the problems that students in private colleges have a weak foundation and generally have a fear of difficulty in the process of programming learning,this paper proposes a teaching mode combining generative artificial intelligence(AIGC)technology and gamified teaching strategies.It specifically expounds how teachers can use AIGC to assist in lesson preparation,generate gamified tasks,and analyze students'learning situations,as well as how students can use AI assistants to obtain real-time feedback and carry out personalized learning through the dynamic difficulty adjustment mechanism.Taking the Python language programming course as an example,the specific teaching implementation process is introduced,and the teaching effect is analyzed and summarized.
作者
黄秋勇
王一波
韦灵
唐爱龙
Qiuyong Huang;Yibo Wang;Ling Wei;Ailong Tang(College of Information Science and Engineering,Liuzhou Institute of Technology,Liuzhou 545616,China)
出处
《计算机教育》
2025年第10期156-162,共7页
Computer Education
基金
2025年度柳州工学院创新创业教育专项课题(2025SCZX06)
2023年度柳州工学院专创融合示范课建设项目(2023SFK05)
广西高等教育本科教学改革工程项目“应用型本科高校产教融合实践教学模式构建研究--以自动化专业为例”(2023JGB498),“新工科背景下基于‘CDIO+OBE+思政’的数据库系统课程教学改革与应用”(2024JGB493)
柳州工学院教学改革项目“基于OBE的数据库系统原理与设计课程的教学与评价研究”(2021JGC023)。
关键词
Python编程
生成式人工智能
游戏化教学
个性化学习
教学模式
Python programming
generative artificial intelligence
gamified teaching
personalized learning
teaching mode
