{"title":"Through tensions to identity-based motivations: Exploring teacher professional identity in Artificial Intelligence-enhanced teacher training","authors":"Yanzhen Lan","doi":"10.1016/j.tate.2024.104736","DOIUrl":null,"url":null,"abstract":"<div><p>This mixed-methods case study explores teacher professional identity (TPI) tensions and motivations for Artificial Intelligence (AI) integration in teaching within a Chinese university-level AI-enhanced teacher training programme. Surveys were completed by 216 attendees, followed by in-depth qualitative analysis of 15 selected teachers. The study reveals TPI groupness-individuality, humanity-technology, and continuity-openness tensions. Three conceptual models are introduced: Human Intelligence and AI as Navigator, Collaborator, and Inventor. It underscores the critical role of tailored AI-enhanced teacher training in harmonising educators’ diverse identities and motivations with technological advancements, signalling a strategic approach for effective AI integration in global teacher education.</p></div>","PeriodicalId":48430,"journal":{"name":"Teaching and Teacher Education","volume":"151 ","pages":"Article 104736"},"PeriodicalIF":4.0000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0742051X24002683/pdfft?md5=5214b5043c9518a6525fb499a56d9ac4&pid=1-s2.0-S0742051X24002683-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teaching and Teacher Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0742051X24002683","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
This mixed-methods case study explores teacher professional identity (TPI) tensions and motivations for Artificial Intelligence (AI) integration in teaching within a Chinese university-level AI-enhanced teacher training programme. Surveys were completed by 216 attendees, followed by in-depth qualitative analysis of 15 selected teachers. The study reveals TPI groupness-individuality, humanity-technology, and continuity-openness tensions. Three conceptual models are introduced: Human Intelligence and AI as Navigator, Collaborator, and Inventor. It underscores the critical role of tailored AI-enhanced teacher training in harmonising educators’ diverse identities and motivations with technological advancements, signalling a strategic approach for effective AI integration in global teacher education.
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.
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