大语言模型背景下计算机语言课程教学策略  

Exploration of Teaching Strategies for Computer Language Courses in the Context of Large Language Models

作　　者：洪留荣[1] 岳成刚[1] HONG Liurong;YUE Chenggang(School of Computer Science and Technology,Huaibei Normal University,235000,Huaibei,Anhui,China)

机构地区：[1]淮北师范大学计算机科学与技术学院,安徽淮北235000

出　　处：《淮北师范大学学报（自然科学版）》2024年第3期92-96,共5页Journal of Huaibei Normal University：Natural Sciences

基　　金：安徽省省级质量工程项目(2022jyxm1397)。

摘　　要：为促进大语言模型在计算机语言课程教学中的有效利用,并减少其负面影响,针对大语言模型引入计算机语言教学后产生的缺点,提出一系列改进策略。这些策略包括明确指导原则、大模型使用说明、优化课程作业任务和鼓励学生进行代码验证和理解。综合这些策略,可以有效利用大语言模型的优势,提高计算机语言教学质量与效率,同时确保学术诚信,减少学生对模型的过度依赖。这些策略增强学生的编程技能和算法思维,提升学习效果,为实际教学提供依据。To promote the effective utilization of large language models in computer language courses and mitigate their negative impacts,a series of improvement strategies have been proposed based on the analysis of the drawbacks observed after the introduction of these models in computer language education.These strategies include clear guidance principles,usage instructions for large models,optimized course assignments,and encouragement for students to verify and understand the generated code.By integrating these strategies,the advantages of large language models can be effectively harnessed to enhance the quality and efficiency of computer language teaching,ensure academic integrity,and reduce students′ over-reliance on the models.These strategies can enhance students′ programming skills and algorithmic thinking,improve learning outcomes,and provide a basis for practical teaching.

关 键 词：大语言模型 计算机语言教学 策略和建议 代码生成 

分 类 号：G640[文化科学—高等教育学]