普通高校人工智能通识教育转型与实践探索

Transformation and Practical Exploration of General Education in Artificial Intelligence in Ordinary Colleges and Universities

摘要: 随着生成式人工智能的快速发展，普通高校人工智能通识教育正从技术选修转向素养必修。本文在分析转型逻辑的基础上，提出以“分层分类、项目驱动、人机协同”等为核心的教学改革路径，并结合课程体系、教学模式、评价机制与支撑条件展开讨论。实践表明，人工智能通识教育应超越工具训练，着力培养学生的智能素养、伦理判断与跨学科迁移能力，为高等教育数字化转型提供支撑。

Abstract: With the rapid development of generative artificial intelligence, general education in artificial intelligence in ordinary colleges and universities is shifting from a technical elective to a compulsory literacy course. Based on an analysis of the transformation logic, this paper proposes a teaching reform path centered on “layered classification, project-driven, and human-machine collaboration”, and discusses it in conjunction with the curriculum system, teaching mode, evaluation mechanism, and supporting conditions. Practice has shown that general education in artificial intelligence should go beyond tool training and focus on cultivating students’ intelligent literacy, ethical judgment, and interdisciplinary transfer ability, providing support for the digital transformation of higher education.