{"title":"How Can (A)I Research This? An Autoethnographic Exploration of Generative AI in Research, Teaching and Instructional Design","authors":"Stefanie Panke","doi":"10.1177/00224871251325065","DOIUrl":null,"url":null,"abstract":"The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May–October 2024). By integrating AI tools into every phase of the research process, the study examines AI’s role as both a research partner and a subject of inquiry. Field notes, queries, and AI-generated outputs were systematically collected, creating a corpus for analysis. Grounded in activity theory, this research offers a reflective narrative on the evolving work routines of instructional designers and educators, emphasizing the orchestration of technology rather than prescriptive best practices. The study contributes to educational technology research by documenting the use of AI at a specific point in time, providing a foundation for future inquiry into the practical implications of AI in education.","PeriodicalId":17162,"journal":{"name":"Journal of Teacher Education","volume":"50 1","pages":""},"PeriodicalIF":4.1000,"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/10.1177/00224871251325065","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
The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May–October 2024). By integrating AI tools into every phase of the research process, the study examines AI’s role as both a research partner and a subject of inquiry. Field notes, queries, and AI-generated outputs were systematically collected, creating a corpus for analysis. Grounded in activity theory, this research offers a reflective narrative on the evolving work routines of instructional designers and educators, emphasizing the orchestration of technology rather than prescriptive best practices. The study contributes to educational technology research by documenting the use of AI at a specific point in time, providing a foundation for future inquiry into the practical implications of AI 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).
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