国际中文开源期刊平台

生成式人工智能驱动地方应用型本科高校人工智能导论类课程教学改革探索

Exploration on the Teaching Reform of Artificial Intelligence Introduction Courses in Local Application-Oriented Undergraduate Colleges Driven by Generative Artificial Intelligence

教育研讨 / 2025,7(2)：171-175 / 2025-02-19 52 14

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• 作者： 田宝      刘晶晶      付丰歌     
• 单位：

  郑州航空工业管理学院计算机学院，郑州

• 关键词： 生成式人工智能；人工智能导论；课程设计；教学改革
• Generative Artificial Intelligence; Introduction to Artificial Intelligence; Curriculum design; Teaching reform
• 摘要： 生成式人工智能（AIGC）的迅猛发展深刻影响了教育领域，地方应用型本科高校的人工智能导论类课程面临着前所未有的机遇与挑战。本文深入剖析该课程的教学现状，揭示了在课程目标与定位、教学内容与方法、学生学习体验等方面存在的问题。从理论层面探讨了生成式人工智能在教育适配性、学习理论支撑以及教学模式变革方面的依据，论证了其对课程教学的积极作用。进而提出基于生成式人工智能的课程教学改革策略，包括优化课程设计、创新教学方法、强化实践教学环节以及提升教师数字素养与教学能力。同时，也正视改革实践中面临的技术依赖、数据质量与隐私、伦理与安全等挑战，并提出相应的应对措施。
• The rapid development of generative artificial intelligence (AIGC) has profoundly influenced the field of education, and the introduction to artificial intelligence courses in local application-oriented undergraduate colleges and universities are facing unprecedented opportunities and challenges. This article deeply analyzes the current teaching status of this course, revealing the problems existing in aspects such as course objectives and positioning, teaching content and methods, and students’ learning experience. It discusses the theoretical basis of generative artificial intelligence in terms of educational adaptability, learning theory support, and teaching mode transformation, demonstrating its positive effects on course teaching. Furthermore, it proposes strategies for curriculum teaching reform based on generative artificial intelligence, including optimizing course design, innovating teaching methods, strengthening practical teaching links, and enhancing teachers’ digital literacy and teaching ability. At the same time, it also faces challenges such as technological dependence, data quality and privacy, ethics and security in the reform practice, and proposes corresponding countermeasures.
• DOI： https://doi.org/10.35534/es.0702034
• 引用： 田宝，刘晶晶，付丰歌．生成式人工智能驱动地方应用型本科高校人工智能导论类课程教学改革探索［J］．教育研讨，2025，7（2）：171-175．