{"title":"通过人工智能驱动的远程协作增强外语学习","authors":"Maria Mont, Melinda Dooly, Dolors Masats","doi":"10.1016/j.jrt.2026.100153","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial Intelligence (AI) is transforming language education through individualized practice, instant feedback, and enhanced engagement. This study investigates its integration into Technology-Enhanced Project-Based Language Learning (TEPBLL) and telecollaboration, focusing on perceptions of 48 young English learners who used a personalized version of ChatGPT-4 during a transnational project on clean water and sanitation. A qualitative thematic analysis of post-project survey responses was conducted, and theme frequencies were quantified to gauge salience. Learners reported high perceived value (90.7% positive) across language production, comprehension, collaboration, and AI/digital literacies. However, the teacher remained the preferred feedback source (69%). So, while AI offers immediacy and iteration, it cannot replace the social-emotional dimension of learning. Students also flagged challenges such as occasional misinformation, overloaded outputs, prompt-formulation, and language barriers. Findings suggest a pragmatic integration of AI as a scaffold to support teacher-led, telecollaborative TEPBLL, highlighting the need for explicit prompt literacy and mediation.</div></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"25 ","pages":"Article 100153"},"PeriodicalIF":4.9000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing foreign language learning through AI-driven telecollaboration\",\"authors\":\"Maria Mont, Melinda Dooly, Dolors Masats\",\"doi\":\"10.1016/j.jrt.2026.100153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Artificial Intelligence (AI) is transforming language education through individualized practice, instant feedback, and enhanced engagement. This study investigates its integration into Technology-Enhanced Project-Based Language Learning (TEPBLL) and telecollaboration, focusing on perceptions of 48 young English learners who used a personalized version of ChatGPT-4 during a transnational project on clean water and sanitation. A qualitative thematic analysis of post-project survey responses was conducted, and theme frequencies were quantified to gauge salience. Learners reported high perceived value (90.7% positive) across language production, comprehension, collaboration, and AI/digital literacies. However, the teacher remained the preferred feedback source (69%). So, while AI offers immediacy and iteration, it cannot replace the social-emotional dimension of learning. Students also flagged challenges such as occasional misinformation, overloaded outputs, prompt-formulation, and language barriers. Findings suggest a pragmatic integration of AI as a scaffold to support teacher-led, telecollaborative TEPBLL, highlighting the need for explicit prompt literacy and mediation.</div></div>\",\"PeriodicalId\":73937,\"journal\":{\"name\":\"Journal of responsible technology\",\"volume\":\"25 \",\"pages\":\"Article 100153\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2026-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of responsible technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666659626000065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/1/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of responsible technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666659626000065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/20 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing foreign language learning through AI-driven telecollaboration
Artificial Intelligence (AI) is transforming language education through individualized practice, instant feedback, and enhanced engagement. This study investigates its integration into Technology-Enhanced Project-Based Language Learning (TEPBLL) and telecollaboration, focusing on perceptions of 48 young English learners who used a personalized version of ChatGPT-4 during a transnational project on clean water and sanitation. A qualitative thematic analysis of post-project survey responses was conducted, and theme frequencies were quantified to gauge salience. Learners reported high perceived value (90.7% positive) across language production, comprehension, collaboration, and AI/digital literacies. However, the teacher remained the preferred feedback source (69%). So, while AI offers immediacy and iteration, it cannot replace the social-emotional dimension of learning. Students also flagged challenges such as occasional misinformation, overloaded outputs, prompt-formulation, and language barriers. Findings suggest a pragmatic integration of AI as a scaffold to support teacher-led, telecollaborative TEPBLL, highlighting the need for explicit prompt literacy and mediation.