{"title":"揭示教师身份发展:以农村中学计算机科学课人工智能课程实施为例","authors":"Keunjae Kim, Kyungbin Kwon","doi":"10.1016/j.tate.2025.105032","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates how a CS teacher's professional identity develops during the implementation of an AI curriculum in a rural middle school. Addressing teachers' challenges with limited AI training, it focuses on identity dimensions of participation, self-categorization, and confidence. Data sources include classroom video observations and teacher interviews, analyzed using content analysis and Latent Dirichlet Allocation (LDA). The study finds that modeling, collaboration, and self-reflection strategies increase teacher participation and confidence, supporting positive self-categorization as an independent AI educator. The findings highlight the importance of targeted support to foster teacher identity development and preparedness in AI-integrated K-12 STEM + C education.</div></div>","PeriodicalId":48430,"journal":{"name":"Teaching and Teacher Education","volume":"160 ","pages":"Article 105032"},"PeriodicalIF":4.0000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unveiling teacher identity development: A case study of AI curriculum implementation in a rural middle school computer science class\",\"authors\":\"Keunjae Kim, Kyungbin Kwon\",\"doi\":\"10.1016/j.tate.2025.105032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates how a CS teacher's professional identity develops during the implementation of an AI curriculum in a rural middle school. Addressing teachers' challenges with limited AI training, it focuses on identity dimensions of participation, self-categorization, and confidence. Data sources include classroom video observations and teacher interviews, analyzed using content analysis and Latent Dirichlet Allocation (LDA). The study finds that modeling, collaboration, and self-reflection strategies increase teacher participation and confidence, supporting positive self-categorization as an independent AI educator. The findings highlight the importance of targeted support to foster teacher identity development and preparedness in AI-integrated K-12 STEM + C education.</div></div>\",\"PeriodicalId\":48430,\"journal\":{\"name\":\"Teaching and Teacher Education\",\"volume\":\"160 \",\"pages\":\"Article 105032\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-04-16\",\"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/S0742051X25001088\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teaching and Teacher Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0742051X25001088","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}
Unveiling teacher identity development: A case study of AI curriculum implementation in a rural middle school computer science class
This study investigates how a CS teacher's professional identity develops during the implementation of an AI curriculum in a rural middle school. Addressing teachers' challenges with limited AI training, it focuses on identity dimensions of participation, self-categorization, and confidence. Data sources include classroom video observations and teacher interviews, analyzed using content analysis and Latent Dirichlet Allocation (LDA). The study finds that modeling, collaboration, and self-reflection strategies increase teacher participation and confidence, supporting positive self-categorization as an independent AI educator. The findings highlight the importance of targeted support to foster teacher identity development and preparedness in AI-integrated K-12 STEM + C 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.