Cathy Lewin, Mutlu Cukurova, Manolis Mavrikis, Laura Outhwaite, Louis Major, Elisa Rubegni
{"title":"BJET editorial 2026: The changing landscape of EdTech and AI scholarship","authors":"Cathy Lewin, Mutlu Cukurova, Manolis Mavrikis, Laura Outhwaite, Louis Major, Elisa Rubegni","doi":"10.1111/bjet.70039","DOIUrl":"https://doi.org/10.1111/bjet.70039","url":null,"abstract":"","PeriodicalId":48315,"journal":{"name":"British Journal of Educational Technology","volume":"57 1","pages":"5-8"},"PeriodicalIF":8.1,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://bera-journals.onlinelibrary.wiley.com/doi/epdf/10.1111/bjet.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145983984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the increasingly ubiquitous presence of artificial intelligence (AI) technology in digital society, educators appeal to foster the public‘s general knowledge about AI from young children. Studies have been conducted to create learning activities for children‘s development of AI literacy, but seldom did they investigate the resources children have prior to instruction. The purpose of this study is to explore young children‘s preconceptions of AI and the sources of their viewpoints. A total of 261 students aged 7 to 9 from a public elementary school in a Southern Chinese city were recruited to finish the draw-a-picture task, and 32 students participated in the follow-up sharing in the classrooms. Through the drawing analysis, we identified five categories to describe young children‘s impressions of AI, including the appearance of AI, tasks handled by AI, environment, human–AI relationship, and feelings and attitudes towards AI. Moreover, our analysis revealed that everyday technology and media act as two main sources of young children‘s preconceptions of AI. This research offers methodological and empirical contributions to AI literacy research and practical insights for AI production developers, policymakers and curriculum designers.
{"title":"Young children's understanding of artificial intelligence: A draw-a-picture analysis","authors":"Xinyu Chang, Zhenping Yan, Gary K. W. Wong","doi":"10.1111/bjet.70022","DOIUrl":"https://doi.org/10.1111/bjet.70022","url":null,"abstract":"<p>With the increasingly ubiquitous presence of artificial intelligence (AI) technology in digital society, educators appeal to foster the public‘s general knowledge about AI from young children. Studies have been conducted to create learning activities for children‘s development of AI literacy, but seldom did they investigate the resources children have prior to instruction. The purpose of this study is to explore young children‘s preconceptions of AI and the sources of their viewpoints. A total of 261 students aged 7 to 9 from a public elementary school in a Southern Chinese city were recruited to finish the draw-a-picture task, and 32 students participated in the follow-up sharing in the classrooms. Through the drawing analysis, we identified five categories to describe young children‘s impressions of AI, including the appearance of AI, tasks handled by AI, environment, human–AI relationship, and feelings and attitudes towards AI. Moreover, our analysis revealed that everyday technology and media act as two main sources of young children‘s preconceptions of AI. This research offers methodological and empirical contributions to AI literacy research and practical insights for AI production developers, policymakers and curriculum designers.</p>","PeriodicalId":48315,"journal":{"name":"British Journal of Educational Technology","volume":"57 1","pages":"346-372"},"PeriodicalIF":8.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://bera-journals.onlinelibrary.wiley.com/doi/epdf/10.1111/bjet.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145987314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}