生成认知视阈下人工智能通识教育的范式重构
Reconstructing the Paradigm of General Artificial Intelligence Education from the Perspective of Generative Cognition
摘要: 本文立足生成认知,针对人工智能通识教育中存在的技术中心、以史论史、文化失语与伦理浅层等困境,构建技术–文化–伦理三位一体框架,引入科学哲学驱动创新方法,嵌入中西技术思想对话,强调人本导向,推动人工智能教育回归整体价值关怀。通过提出“技以载道”的教育范式,设计跨学科课程、研讨式教学、人机协同学习与案例化评价等路径,为高校人工智能通识课程改革提供可操作的方案,促进学生批判性思维、文化自觉与伦理责任的培养。
Abstract: In this paper, we adopt the perspective of generative cognition to address the key challenges in AI general education, including technocentrism, historical reductionism, cultural silence, and superficial engagement with ethics. An integrated framework of technology-culture-ethics is constructed, supported by innovation methodologies driven by the philosophy of science. Dialogues between Chinese and Western technical thought are embedded, while a human-centered orientation is emphasized to restore AI education to its holistic value concerns. Building on the paradigm of “technology as a vehicle for the Dao”, this paper designs practical pathways such as cross-disciplinary curricula, seminar-based teaching, human-AI collaborative learning, and case-based evaluation. These approaches provide feasible solutions for the reform of AI general education in higher education, aiming to foster students’ critical thinking, cultural self-awareness, and ethical responsibility.
文章引用:钱学明. 生成认知视阈下人工智能通识教育的范式重构[J]. 教育进展, 2025, 15(10): 108-116. https://doi.org/10.12677/ae.2025.15101808

参考文献

[1] 王伟, 李明, 张凯. 中国人工智能教育研究的知识图谱与研究热点[J]. 中国电化教育, 2024(3): 45-56.
[2] 陈玉柱. 基于POT-OBE教育理念与5E教学范式的人工智能教育课程改革探索[J]. 电化教育研究, 2024, 45(2): 87-94.
[3] 张伟, 李娜, 赵晨. 中国中小学人工智能教育现状与发展路径[J]. 中国远程教育, 2024(4): 22-31.
[4] 刘涛. 大模型时代的高职人工智能通识教育改革探索[J]. 职业教育研究, 2025(1): 55-63.
[5] 南京大学. 南京大学人工智能素养通识课程建设方案[R]. 南京大学, 2024.
[6] 北京市教育委员会. 北京市教育委员会关于印发《北京市推进中小学人工智能教育工作方案(2025-2027年)》的通知[EB/OL]. 北京: 北京市教育委员会.
http://jw.beijing.gov.cn/xxgk/2024zcwj/2024qtwj/202503/t20250307_4028227.html, 2025-03-06.
[7] Miller, C., Fiesler, C. and Soden, R. (2018) Embedding Ethics in Computer Science Curriculum: The Embedded Ethics Approach. In: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, ACM, 80-85.
[8] Grosz, B.J., Grant, D.G., Vredenburgh, K., Behrends, J., Hu, L., Simmons, A., et al. (2019) Embedded EthiCS. Communications of the ACM, 62, 54-61. [Google Scholar] [CrossRef
[9] Uskov, V., Bakken, J. and Howlett, R.J. (2024) Artificial Intelligence in Education: Cross-Disciplinary Curriculum Models. Smart Innovation, Systems and Technologies, 349, 15-28.
[10] Khalil, M. and Ebner, M. (2024) AI Literacy in Higher Education: Integrating Ethics and Human-Centered Perspectives. Education and Information Technologies, 29, 2451-2469.
[11] Porayska-Pomsta, K., Holmes, W. and Holmes, J. (2024) Critical Perspectives on AI in Education. British Journal of Educational Technology, 55, 237-250.
[12] Xie, C., Lee, J. and Hwang, G.J. (2024) Comparative Study of AI Education Policies in China, Japan, and the United States. Computers & Education, 205, Article 104507.
[13] State University of New York (SUNY) (2024) AI and Information Literacy as General Education Core Curriculum. SUNY Curriculum Policy Report.