|本期目录/Table of Contents|

[1]张诗雨 黄显涵 李子建 李 辉.人工智能赋能教师非正式学习的研究进展与未来方向[J].清华大学教育研究,2025,(02):21-32.
 ZHANG Shi-yu HUANG Xian-han LEE Chi-Kin John LI Hui.Artificial Intelligence Integrated Teachers’ Informal Learning: Opportunities, Challenges, and Future Directions[J].TSINGHUA JOURNAL OF EDUCATION,2025,(02):21-32.
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人工智能赋能教师非正式学习的研究进展与未来方向
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清华大学教育研究[ISSN:1001-4519/CN:11-1610/G4]

卷:
期数:
2025年02期
页码:
21-32
栏目:
人工智能与教育
出版日期:
2025-04-20

文章信息/Info

Title:
Artificial Intelligence Integrated Teachers’ Informal Learning: Opportunities, Challenges, and Future Directions
作者:
张诗雨1 黄显涵2 李子建3 李 辉4
1.香港大学 教育学院;2.香港教育大学 课程与教学系;3.香港教育大学 应用政策研究及教育未来学院;4.香港教育大学 教育发展与创新学院
Author(s):
ZHANG Shi-yu1 HUANG Xian-han2 LEE Chi-Kin John3 LI Hui4
1.Faculty of Education, The University of Hong Kong;2.Department of Curriculum and Instruction,The Education University of Hong Kong;3.Academy for Applied Policy Studies and Education Futures,The Education University of Hong Kong;4.Academy for Education Development and Innovation,The Education University of Hong Kong
关键词:
人工智能教师学习影响因素专业发展
Keywords:
Artificial Intelligence (AI) teacher learning influencing factors professional development
分类号:
G451
文献标志码:
A
摘要:
本研究综述了近十年来四大英文数据库中关于人工智能(AI)驱动下教师非正式学习的实证研究,旨在探究影响教师开展学习与专业发展的关键因素。本研究综合讨论了教师个人因素(动机、学习态度、技术素养)、工作环境因素(例如学校支持、同事合作、资源配置)、AI技术赋能(例如AI工具的易用性、功能性、可及性)以及更广泛的情境因素(教育政策、文化背景、全球疫情影响)对教师在AI驱动下非正式学习效果的影响。基于对现有研究的分析和整合,本研究提出了未来AI与教师专业发展领域的研究方向和实践建议,以期促进AI技术在教师学习中的有效应用和教师专业能力的提升。
Abstract:
This study reviews empirical research on artificial intelligence (AI)-integrated teachers’ informal learning conducted over the past decade, based on studies retrieved from four major English-language databases. It explores key factors that influence teachers’ learning and professional development. Specifically, the study examines individual factors (e.g., motivation, learning attitudes, technological literacy), work environment factors (e.g., school support, colleague collaboration, resource allocation), AI technological affordances (e.g., usability, functionality, accessibility of AI tools), and broader contextual factors (e.g., education policies, cultural backgrounds, and the global pandemic) that shape the effectiveness of AI-integrated informal learning among teachers. By synthesizing existing research, this study proposes future research directions and offer practical implications for integrating AI into teacher professional development, aiming to enhance its effectiveness in fostering teachers’ professional growth and competency.

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更新日期/Last Update: 2025-04-20