| 216 | 0 | 362 |
| 下载次数 | 被引频次 | 阅读次数 |
提出计算机公共基础课程在不同模块中融入大模型的教学方法，以“用Python玩转数据”课程为例介绍具体教学实施过程，阐述如何通过在期末课程论文中设置3个问题了解学生的大模型使用能力、使用场景和态度，并对课程中融入大模型的节点和方式提出建议。
Abstract：Based on the integration of large language models into the different modules of the teaching of public computer fundamentals in this semester, we created three issues in the final course paper to figure out the students' ability, usage scenarios and attitudes regarding leveraging LLM in the course. These questions also ask students to give their suggestions on the timing and way of integrating LLM.
[1]车万翔,窦志成,冯岩松,等.大模型时代的自然语言处理:挑战、机遇与发展[J].中国科学:信息科学, 2023, 53(9):1645-1687.
[2] Bubeck S, Chandrasekaran V, Eldan R, et al. Sparks of artificial general intelligence:Early experiments with GPT-4[EB/OL].(2023-04-13)[2025-04-20]. https://arxiv. org/abs/2303. 12712.
[3]王宇轩,徐文浩,于浩淼,等.生成式AI为C语言编程教学带来的挑战和机遇[J].计算机教育, 2024(8):133-141, 145.
[4]唐琳,张佳鑫,徐照光.大语言模型在计算机编程实践课程教学中的应用[J].计算机教育, 2025(2):97-101, 106.
[5]王晓玲,岳文静,王昊奋,等.大语言模型技术融入数据库课程的教学探索[J].计算机教育, 2024(9):28-32.
[6]张红卓,周小宝,许玉焕,等.生成式人工智能赋能计算机程序设计类课程教学创新[J].计算机教育, 2024(7):44-48.
[7] Joshi I, Budhiraja R, Dev H, et al. ChatGPT in the classroom:An analysis of its strengths and weaknesses for solving undergraduate computer science questions[C]//Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. Portland:SIGCSE, 2024:625-631.
[8] Liu R, Zenke C, Liu C, et al. Teaching CS50 with AI:Leveraging generative artificial intelligence in computer science education[C]//Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. Portland:SIGCSE, 2024:750-756.
[9] OpenAI. OpenAI官方文档[EB/OL].[2025-04-19]. https://platform. openai. com/docs/guides/prompt-engineering.
[10] Wei J, Wang X Z, Schuurmans D, et al. Chain-of-thought prompting elicits reasoning in large language models[C]//In Advances in Neural Information Processing Systems. New Orleans:NeurlPS, 2022:24824-24837.
[11]阿里云.通义灵码插件:VSCode的智能编程助手[EB/OL].[2025-04-19]. https://developer. aliyun. com/article/1630179.
基本信息:
DOI：10.16512/j.cnki.jsjjy.2025.12.023
中图分类号:TP3-4;G642
引用信息:
[1]张莉.大模型融入计算机公共基础课程教学的实践与思考[J].计算机教育,2025,No.372(12):134-140.DOI:10.16512/j.cnki.jsjjy.2025.12.023.
基金信息:
南京大学第二批“百”层次优质课程“用Python玩转数据”建设项目（南教务[2018]7号）; 2025年江苏省高等教育教改研究课题“人工智能+数据科学公共基础智慧课程改革研究”建设项目（2025JGZD092）
2025-04-20
2025
2025-05-29
2025
2025-05-21
1
2025-12-10
2025-12-10
