{"title":"From revolution to evolution: What generative AI really means for language learning","authors":"Mark Pegrum","doi":"10.1017/s0261444825000151","DOIUrl":null,"url":null,"abstract":"<p>History is littered with unfulfilled promises that emerging technologies – from radios to televisions, and from computers to mobile phones – would completely transform teaching and learning. Now the same promises are being made of generative artificial intelligence (AI). This presentation argues that we should not be focusing on educational revolution, but instead on educational evolution. Education is a complex social, cultural, and political endeavour, serving multiple purposes and multiple stakeholders, and technology is just one of many elements in this large ecosystem.</p><p>Focusing on the context of language teaching and learning, this presentation discusses what has changed technologically, and suggests what could and should change educationally. It shows that ChatGPT and a range of other generative AI tools can contribute to language and literacy development in a number of ways, but that we need to be wary of their pedagogical, social, and environmental risks. Educators must develop the AI literacy necessary to take a more nuanced view of generative AI, and we must help our students to do the same.</p><p>This paper is based on a keynote presentation delivered at the English Australia Conference in Perth, Australia, on 12 September 2024, with some elaborations for the written version alongside minor updates to reflect more recent developments and publications.</p>","PeriodicalId":47770,"journal":{"name":"Language Teaching","volume":"122 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language Teaching","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1017/s0261444825000151","RegionNum":2,"RegionCategory":"文学","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
History is littered with unfulfilled promises that emerging technologies – from radios to televisions, and from computers to mobile phones – would completely transform teaching and learning. Now the same promises are being made of generative artificial intelligence (AI). This presentation argues that we should not be focusing on educational revolution, but instead on educational evolution. Education is a complex social, cultural, and political endeavour, serving multiple purposes and multiple stakeholders, and technology is just one of many elements in this large ecosystem.
Focusing on the context of language teaching and learning, this presentation discusses what has changed technologically, and suggests what could and should change educationally. It shows that ChatGPT and a range of other generative AI tools can contribute to language and literacy development in a number of ways, but that we need to be wary of their pedagogical, social, and environmental risks. Educators must develop the AI literacy necessary to take a more nuanced view of generative AI, and we must help our students to do the same.
This paper is based on a keynote presentation delivered at the English Australia Conference in Perth, Australia, on 12 September 2024, with some elaborations for the written version alongside minor updates to reflect more recent developments and publications.
期刊介绍:
Language Teaching is the essential research resource for language professionals providing a rich and expert overview of research in the field of second-language teaching and learning. It offers critical survey articles of recent research on specific topics, second and foreign languages and countries, and invites original research articles reporting on replication studies and meta-analyses. The journal also includes regional surveys of outstanding doctoral dissertations, topic-based research timelines, theme-based research agendas, recent plenary conference speeches, and research-in-progress reports. A thorough peer-reviewing procedure applies to both the commissioned and the unsolicited articles.