Mobile language app learners’ self-efficacy increases after using generative AI
Introduction Although generative artificial intelligence (AI) is ubiquitous, there is little research on how it supports self-efficacy (learners’ belief that they can perform at a particular level on a specific task). The purpose of these studies was to investigate self-efficacy development in a generative AI-based language learning experience. Methods In two studies, learners ( N = 385) of French/Spanish used AI-based features offering conversation practice and on-demand explanations in a mobile app (Duolingo) for 1 month. Before and after using the features, learners reported their self-efficacy and other perceptions. Results In Study 1, learners who had already used the features felt significantly more prepared to use French/Spanish in real-life situations after 1 month, as did learners in Study 2 who used the features for the first time. Learners in Study 2 also felt significantly more prepared to share their opinions and navigate a city, and reported significantly higher self-efficacy for speaking and understanding grammar and mistakes. Across studies, the majority of learners agreed that the AI-based features effectively supported learning, and reported using their learning outside the app. Discussion These results provide the first evidence of enhanced language learning self-efficacy after use of generative AI, building on findings from classroom interventions.
Authors
- Danielle Dionne
- C. Daniel Freeman
- Audrey K. Kittredge
- Xiangying Jiang
- Ben Reuveni
- Elise Hopman (ORCID: https://orcid.org/0000-0002-6162-3311)
Publication Details
- Journal
- Frontiers in Education
- Published
- 2025-02-06
- DOI
- https://doi.org/10.3389/feduc.2025.1499497
- Citations
- 13
- Primary Topic
- Educational Strategies and Epistemologies
- Type
- article
- Field-Weighted Citation Impact
- 44.78