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.

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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
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Mobile language app learners’ self-efficacy increases after using generative AI

Danielle Dionne, C. Daniel Freeman, Audrey K. Kittredge, Xiangying Jiang et al.
13 citations
Frontiers in Education
Educational Strategies and Epistemologies
44.78
article

Mobile language app learners’ self-efficacy increases after using generative AI

Danielle Dionne, C. Daniel Freeman, Audrey K. Kittredge, Xiangying Jiang, Ben Reuveni, Elise Hopman
article en
13 citations

Abstract

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.

Frontiers in EducationVol. 10
Quality Education
Openalex Percentile: Top 0%
Educational Strategies and Epistemologies
44.78
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