人工智能时代高等职业教育通识课教师 转型对策

Transformation Strategies for General Education Teachers in Higher Vocational Education in the Era of Artificial Intelligence

摘要: 人工智能技术的迅猛发展正在为教育教学构筑全新的技术环境，知识获取的实时性、泛在性与精准性已基本实现。这对以知识传递为核心的传统教学模式，特别是高等职业教育中通识类课程的教学带来了前所未有的冲击，必将从根本上重塑教育生态。在这一进程中，通识课教师能否成功转型，已成为推动职业教育智慧化变革的核心变量。本文立足于重庆高等职业教育发展实际，结合全国职业院校的共性特征，系统分析了当前通识课教师在角色定位、数字素养、教学范式、评价机制及伦理意识等方面面临的现实困境，提出应构建“AI + 教师”协同发展体系，以“学习教练”与“陪伴”为视角，推动教师从单一的知识传播者和教育者，转型为学习情感引导师、课程设计师、学习状态分析师和成长规划师等复合型新角色；前瞻性地建设集“引导、教学、助学、训练、实践、测评、就业”于一体的未来教育智能体；同时，从数据安全、伦理规范、政策激励等方面完善保障机制，以期为人工智能时代高职通识课教师的深度转型提供系统性对策。

Abstract: The rapid advancement of artificial intelligence technology is creating a brand-new technological environment for education and instruction, where the real-time, ubiquitous, and precise acquisition of knowledge has largely been realized. This has brought unprecedented impact to the traditional teaching model centered on knowledge transmission, especially to the teaching of general education courses in higher vocational education, and will fundamentally reshape the educational ecosystem. In this process, whether general education teachers can successfully transform has become a core variable driving the intelligent reform of vocational education. Based on the actual development of higher vocational education in Chongqing and the common characteristics of vocational colleges nationwide, this paper systematically analyzes the practical difficulties faced by general education teachers in terms of role positioning, digital literacy, teaching paradigms, evaluation mechanisms, and ethical awareness. It proposes the construction of an “AI + Teacher” collaborative development system, and from the dual perspectives of serving as a “learning coach” and a “companion”, promotes teachers’ transformation from mere knowledge disseminators and educators into composite new roles, including learning emotion guide, curriculum designer, learning status analyst, and growth planner In a forward-looking manner, it also constructs a future education agent that integrates “guidance, teaching, assistance, training, practice, assessment, and employment”. Furthermore, it perfects the guarantee mechanism from the aspects of data security, ethical norms, and policy incentives, aiming to provide systematic strategies for the in-depth transformation of general education teachers in higher vocational education in the AI era.