{"title":"What does current genAI actually mean for student learning?","authors":"Dan L. Dinsmore , Luke K. Fryer","doi":"10.1016/j.lindif.2025.102834","DOIUrl":null,"url":null,"abstract":"<div><div>Many genAI (generative Artificial Intelligence) enthusiasts and much of the broader public see genAI as a substantial force for good within education. Unfortunately, some of those calling for or directly introducing genAI into formal education fail to fully understand one or both of the following realities: a. what genAI's knowledge is, b. how humans learn in any given domain of knowledge. The failure to understand and therefore engage with these foundations for genAI use in education has consequences for students internationally. This paper addresses this gap by considering how genAI (in its current form) is useful as a learning tool. The Model of Domain Learning is provided as one means of recursively engaging with this question regarding learning in academic domains as genAI continues to grow and change.</div></div><div><h3>Educational relevance statement</h3><div>This manuscript addresses the cognitive processing that underlies learning and must intersect with any contribution genAI makes to educational processes. Consistent with longstanding models, we argue that students' prior knowledge is foundational when determining when and how our current genAI are useful to students.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"125 ","pages":"Article 102834"},"PeriodicalIF":9.7000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Learning and Individual Differences","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1041608025002109","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, EDUCATIONAL","Score":null,"Total":0}
引用次数: 0
Abstract
Many genAI (generative Artificial Intelligence) enthusiasts and much of the broader public see genAI as a substantial force for good within education. Unfortunately, some of those calling for or directly introducing genAI into formal education fail to fully understand one or both of the following realities: a. what genAI's knowledge is, b. how humans learn in any given domain of knowledge. The failure to understand and therefore engage with these foundations for genAI use in education has consequences for students internationally. This paper addresses this gap by considering how genAI (in its current form) is useful as a learning tool. The Model of Domain Learning is provided as one means of recursively engaging with this question regarding learning in academic domains as genAI continues to grow and change.
Educational relevance statement
This manuscript addresses the cognitive processing that underlies learning and must intersect with any contribution genAI makes to educational processes. Consistent with longstanding models, we argue that students' prior knowledge is foundational when determining when and how our current genAI are useful to students.
期刊介绍:
Learning and Individual Differences is a research journal devoted to publishing articles of individual differences as they relate to learning within an educational context. The Journal focuses on original empirical studies of high theoretical and methodological rigor that that make a substantial scientific contribution. Learning and Individual Differences publishes original research. Manuscripts should be no longer than 7500 words of primary text (not including tables, figures, references).