{"title":"Exploring the Role of Generative AI in Collaborative Lesson Planning for Pre-Service Teachers","authors":"Yanyan Sun, Yingfen Huang","doi":"10.1111/jcal.70098","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Collaborative lesson planning is a crucial practice in teacher education, supporting pre-service teachers in lesson design and fostering professional development. While generative AI (GenAI) is increasingly integrated into education, its role in collaborative lesson planning remains unclear.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>This study aims to explore how pre-service teachers use GenAI in collaborative lesson planning and investigate how GenAI influences pre-service teachers' cognitive engagement throughout the process.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Twenty-seven pre-service teachers participated in GenAI-supported collaborative lesson planning in a STEM unit within a graduate educational technology course. Their interactions were analysed using epistemic network analysis (ENA) to examine cognitive engagement patterns. Additionally, the final lesson plan designs and logs of GenAI interactions were qualitatively analysed.</p>\n </section>\n \n <section>\n \n <h3> Results and Conclusions</h3>\n \n <p>The results indicated that GenAI primarily served as a direct information source for operational tasks, while its role as cognitive scaffolding was limited. GenAI significantly supported pre-service teachers during initial phases of lesson planning, fostering higher-order thinking such as analysing and creating, but its contribution diminished in later iterative phases. The findings highlight the dual roles of GenAI, emphasising the need for structured scaffolds and human facilitation to complement GenAI and support deeper cognitive engagement.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 4","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Assisted Learning","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jcal.70098","RegionNum":2,"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
Background
Collaborative lesson planning is a crucial practice in teacher education, supporting pre-service teachers in lesson design and fostering professional development. While generative AI (GenAI) is increasingly integrated into education, its role in collaborative lesson planning remains unclear.
Objectives
This study aims to explore how pre-service teachers use GenAI in collaborative lesson planning and investigate how GenAI influences pre-service teachers' cognitive engagement throughout the process.
Methods
Twenty-seven pre-service teachers participated in GenAI-supported collaborative lesson planning in a STEM unit within a graduate educational technology course. Their interactions were analysed using epistemic network analysis (ENA) to examine cognitive engagement patterns. Additionally, the final lesson plan designs and logs of GenAI interactions were qualitatively analysed.
Results and Conclusions
The results indicated that GenAI primarily served as a direct information source for operational tasks, while its role as cognitive scaffolding was limited. GenAI significantly supported pre-service teachers during initial phases of lesson planning, fostering higher-order thinking such as analysing and creating, but its contribution diminished in later iterative phases. The findings highlight the dual roles of GenAI, emphasising the need for structured scaffolds and human facilitation to complement GenAI and support deeper cognitive engagement.
期刊介绍:
The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope