{"title":"“Let’s Ask the Robot!”: Epistemic Stance Between Teacher Candidates Toward AI in Mathematics Lesson Planning","authors":"Eunhye Flavin, Sunghwan Hwang, Melita Morales","doi":"10.1177/00224871251325079","DOIUrl":null,"url":null,"abstract":"Generative artificial intelligence (AI)-powered conversation agents such as ChatGPT are increasingly being used in teacher education. Although ChatGPT can provide ample resources for lesson planning, little attention has been paid to how teacher candidates construct prompts and evaluate AI-generated outputs in real time to develop lesson plans. Taking up Bisconti et al.’s conceptualization of generative AI as a social agent in a sociotechnical system, this article investigates how knowledge construction is dynamic and negotiated through interaction when using ChatGPT to develop lesson plans. We applied conversation analysis through Heritage’s gradient model of epistemic stance––which captures moment-to-moment expressions of social relationships––to analyze how teacher candidates position their knowledge in relation to that acquired from ChatGPT, as managed through their prompts and questions. Our findings aim to offer insights to help teacher educators develop scaffolds for teacher candidates to critically curate content from AI-powered agents and identify areas needing further instructional support.","PeriodicalId":17162,"journal":{"name":"Journal of Teacher Education","volume":"28 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-03-30","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/10.1177/00224871251325079","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
Generative artificial intelligence (AI)-powered conversation agents such as ChatGPT are increasingly being used in teacher education. Although ChatGPT can provide ample resources for lesson planning, little attention has been paid to how teacher candidates construct prompts and evaluate AI-generated outputs in real time to develop lesson plans. Taking up Bisconti et al.’s conceptualization of generative AI as a social agent in a sociotechnical system, this article investigates how knowledge construction is dynamic and negotiated through interaction when using ChatGPT to develop lesson plans. We applied conversation analysis through Heritage’s gradient model of epistemic stance––which captures moment-to-moment expressions of social relationships––to analyze how teacher candidates position their knowledge in relation to that acquired from ChatGPT, as managed through their prompts and questions. Our findings aim to offer insights to help teacher educators develop scaffolds for teacher candidates to critically curate content from AI-powered agents and identify areas needing further instructional support.
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).