Jason M. Lodge, Suijing Yang, Leon Furze, Phillip Dawson
{"title":"It’s not like a calculator, so what is the relationship between learners and generative artificial intelligence?","authors":"Jason M. Lodge, Suijing Yang, Leon Furze, Phillip Dawson","doi":"10.1080/23735082.2023.2261106","DOIUrl":null,"url":null,"abstract":"ABSTRACTIt is becoming apparent that generative AI has significant implications for education. However, previous technologies that have had a large impact, such as calculators, do not provide a suitable model for understanding how generative AI can and will be used in learning. Drawing on research on human-computer interactions, we map out a typology of possible student-to-generative AI relationships to afford a more nuanced discussion about what these new technologies can and should be used for in learning. Our contribution in this article is to offer a typology for considering the range of possible interactions across two dimensions of relationships. In doing so, we argue that there is not a single metaphor for the relationship between humans and AI in learning, but many.KEYWORDS: Generative AIlearnershuman-computer interaction Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":52244,"journal":{"name":"Learning: Research and Practice","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Learning: Research and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23735082.2023.2261106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 2
Abstract
ABSTRACTIt is becoming apparent that generative AI has significant implications for education. However, previous technologies that have had a large impact, such as calculators, do not provide a suitable model for understanding how generative AI can and will be used in learning. Drawing on research on human-computer interactions, we map out a typology of possible student-to-generative AI relationships to afford a more nuanced discussion about what these new technologies can and should be used for in learning. Our contribution in this article is to offer a typology for considering the range of possible interactions across two dimensions of relationships. In doing so, we argue that there is not a single metaphor for the relationship between humans and AI in learning, but many.KEYWORDS: Generative AIlearnershuman-computer interaction Disclosure statementNo potential conflict of interest was reported by the author(s).