生成语法
心理学
钥匙(锁)
数学教育
专业学习社区
教育学
体验式学习
人工智能
教育技术
认知科学
学习科学
工程伦理学
专业发展
人类智力
计算机科学
学习设计
教学方法
人工智能应用
学习理论
知识管理
作者
Libin Yuan,Rafiza Abdul Razak,Amirrudin Kamsin,Lulian Chen,Xinying Xu
出处
期刊:Advances in computational intelligence and robotics book series
[IGI Global]
日期:2026-04-09
卷期号:: 127-162
标识
DOI:10.4018/979-8-3373-8027-8.ch006
摘要
Rapid advances in artificial intelligence (AI), including generative AI, learning analytics, and intelligent tutoring systems, are reshaping educational environments and challenging traditional conceptions of teachers' professional roles. Rather than replacing teachers, AI redistributes instructional functions and intensifies the need for human judgment, ethical reasoning, and learning design expertise. This chapter examines how AI-driven changes transform teacher roles and explores their implications for pre-service teacher education. It conceptualizes teachers as learning experience designers who orchestrate human–AI collaboration, critically evaluate AI outputs, and design cognitively, socially, and emotionally supportive learning environments. Drawing on insights from educational technology, learning sciences, and teacher professional development, the chapter proposes key competency domains and discusses strategies for reforming teacher education to prepare future teachers for AI-enhanced classrooms.
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