{"title":"AI Literacy in Teacher Education: Empowering Educators Through Critical Co-Discovery","authors":"Melis Dilek, Evrim Baran, Ezequiel Aleman","doi":"10.1177/00224871251325083","DOIUrl":null,"url":null,"abstract":"Teacher education increasingly requires educators to engage with generative AI technologies, yet critical and reflective engagement opportunities remain scarce. While AI is often framed as a tool for automation, its broader pedagogical and ethical implications receive less attention. To address this gap, we implemented a critical co-discovery approach within an online AI in Education (AIEd) course to enhance educators’ AI literacy. This illustrative case study examines which AI literacy components can be developed through critical co-discovery and how this approach fosters educators’ reflective, critical, and participatory engagement with AI. Findings revealed that through co-discovery activities, educators co-constructed an understanding of AI concepts, ethical considerations, and context-specific applications. The study highlights the need for prolonged engagement with AI literacy by integrating it into teacher education program to ensure educators can critically navigate and assert their agency in AI’s complex role in education.","PeriodicalId":17162,"journal":{"name":"Journal of Teacher Education","volume":"70 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Teacher Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1177/00224871251325083","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
Teacher education increasingly requires educators to engage with generative AI technologies, yet critical and reflective engagement opportunities remain scarce. While AI is often framed as a tool for automation, its broader pedagogical and ethical implications receive less attention. To address this gap, we implemented a critical co-discovery approach within an online AI in Education (AIEd) course to enhance educators’ AI literacy. This illustrative case study examines which AI literacy components can be developed through critical co-discovery and how this approach fosters educators’ reflective, critical, and participatory engagement with AI. Findings revealed that through co-discovery activities, educators co-constructed an understanding of AI concepts, ethical considerations, and context-specific applications. The study highlights the need for prolonged engagement with AI literacy by integrating it into teacher education program to ensure educators can critically navigate and assert their agency in AI’s complex role in education.
期刊介绍:
The mission of the Journal of Teacher Education, the flagship journal of AACTE, is to serve as a research forum for a diverse group of scholars who are invested in the preparation and continued support of teachers and who can have a significant voice in discussions and decision-making around issues of teacher education. One of the fundamental goals of the journal is the use of evidence from rigorous investigation to identify and address the increasingly complex issues confronting teacher education at the national and global levels. These issues include but are not limited to preparing teachers to effectively address the needs of marginalized youth, their families and communities; program design and impact; selection, recruitment and retention of teachers from underrepresented groups; local and national policy; accountability; and routes to certification. JTE does not publish book reviews, program evaluations or articles solely describing programs, program components, courses or personal experiences. In addition, JTE does not accept manuscripts that are solely about the development or validation of an instrument unless the use of that instrument yields data providing new insights into issues of relevance to teacher education (MSU, February 2016).