Thoughts on the Experimental Teaching Design Model of Artificial Intelligence Courses in Application-Oriented Universities—Based on the Mainstream Industrial Technology“Human-Computer Interaction Dialogue System”

Abstract

Abstract: With the popularization of artificial intelligence technology and the strong demand for talents, artificial intelligence courses are playing an increasingly important role in the talent cultivation of application-oriented universities. As China lists artificial intelligence as a national strategy and a technology with priority for development, it also puts forward higher requirements for the teaching of artificial intelligence courses in application-oriented universities, especially experimental teaching. This article expounds the reform and innovation of the experimental teaching design model of artificial intelligence courses in universities from three aspects: Firstly, introduce mainstream industrial application technologies to design experimental links, so that students can learn the mainstream tools and AI technology frameworks currently used in the industry. Secondly, guide students to use advanced AI generation tools such as ChatGPT to assist in experiments, cultivate their ability to use advanced AI tools and hands-on ability that conforms to the future productivity development trend. Thirdly, the experimental teaching link serves as a training course for subject competitions, laying a solid foundation for students and stimulating their interest in participating.

Key words: Artificial intelligence, Industrial technology, ChatGPT, AI generating tool, Experimental teaching, Academic competition

CLC Number:

DU Wei, WANG Ban. Thoughts on the Experimental Teaching Design Model of Artificial Intelligence Courses in Application-Oriented Universities—Based on the Mainstream Industrial Technology“Human-Computer Interaction Dialogue System”[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2025, 8(3): 14-17.

References

[1] 顾佼佼,孙涛,陈健,等.人工智能实验课程从“线下”向“线上”的转变实践[J].教育教学论坛,2022(24):29-32.
[2] 丛山,鲍佩华,苑硕,等.科教融合协同创新育人模式探索与实践——以“机器学习”课程为例[J].创新创业理论研究与实践,2022,5(11):7-10.
[3] 贵向泉,高祯,李立,等.“新工科”背景下人工智能教学改革研究[J].教育教学论坛,2020(15):129-131.
[4] 方兵. 推动我国高校人工智能学院“内涵式发展”路径研究——基于“教育、科技、人才”三位一体视角[J].中国高校科技,2024(3):94-99.
[5] 徐国艳,余贵珍,周彬,等.产教研融合建设研究生人工智能系列课程探索——以自动驾驶方向人工智能课程为例[J].高等工程教育研究,2023(4):196-200.
[6] 原千慧,贾积有.人工智能教学平台的分析与建议[J].教育家,2020(4):16-17.
[7] 曾海,王竹青,邱崇光.基于元模块法构建人工智能教学应用模型的研究[J].中国电化教育,2021(11):71-76,87.
[8] 刘洁怡,周佳社,王新怀,等.人工智能开放式实验室建设与管理探索[J].实验室研究与探索,2022,41(3):252-255,265.
[9] 郭炯,荣乾,郝建江.国外人工智能教学应用研究综述[J].电化教育研究,2020,41(2):91-98,107.
[10] 王帅杰,汤倩雯,杨启光.生成式人工智能在教育应用中的国际观察:挑战、应对与镜鉴[J].电化教育研究,2024,45(5):106-112,120.
[11] 李运福,王斐.人工智能时代高等教育“何为”——基于《人工智能:我们现在在哪里》的分析[J].电化教育研究,2024,45(4):32-38.
[12] 刘璐,张新峰.产学研协同的人工智能课程教学改革——以中国科学院大学“深度学习”课程为例[J].高等工程教育研究,2023(6):73-77.
[13] 郑庆华. 人工智能赋能创建未来教育新格局[J].中国高教研究,2024(3):1-7.
[14] 吴岸雄,赵嘉凌,黄少伟,等.多模态人工智能数据分析实验服务平台建设[J].实验室研究与探索,2023,42(4): 188-193.

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