{"title":"How can AI be integrated into teacher professional development programs? A systematic review based on an adapted technology-based learning model","authors":"Kexin Li, Pengjin Wang, Gaowei Chen","doi":"10.1016/j.tate.2025.105219","DOIUrl":null,"url":null,"abstract":"<div><div>Guided by an analytical framework adapted from the technology-based learning model, this study systematically reviews 16 studies on AI-integrated teacher professional development published through 2024. Findings mapped the landscape of teacher participants, AI technologies, and TPD environments. The analysis revealed common practices in program design: (1) teacher-AI engagement often took an AI-empowered, teacher-as-leader mode that prioritizes teacher agency; (2) strategies typically integrated AI tools to deliver data-driven and personalized support; and (3) evaluation practices more often targeted individual outcomes than organizational change. This review offers actionable recommendations for practitioners and suggests directions for advancing future research.</div></div>","PeriodicalId":48430,"journal":{"name":"Teaching and Teacher Education","volume":"168 ","pages":"Article 105219"},"PeriodicalIF":3.9000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teaching and Teacher Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0742051X25002963","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Guided by an analytical framework adapted from the technology-based learning model, this study systematically reviews 16 studies on AI-integrated teacher professional development published through 2024. Findings mapped the landscape of teacher participants, AI technologies, and TPD environments. The analysis revealed common practices in program design: (1) teacher-AI engagement often took an AI-empowered, teacher-as-leader mode that prioritizes teacher agency; (2) strategies typically integrated AI tools to deliver data-driven and personalized support; and (3) evaluation practices more often targeted individual outcomes than organizational change. This review offers actionable recommendations for practitioners and suggests directions for advancing future research.
期刊介绍:
Teaching and Teacher Education is an international journal concerned primarily with teachers, teaching, and/or teacher education situated in an international perspective and context. The journal focuses on early childhood through high school (secondary education), teacher preparation, along with higher education concerning teacher professional development and/or teacher education. Teaching and Teacher Education is a multidisciplinary journal committed to no single approach, discipline, methodology, or paradigm. The journal welcomes varied approaches (qualitative, quantitative, and mixed methods) to empirical research; also publishing high quality systematic reviews and meta-analyses. Manuscripts should enhance, build upon, and/or extend the boundaries of theory, research, and/or practice in teaching and teacher education. Teaching and Teacher Education does not publish unsolicited Book Reviews.