生成语法
计算机科学
对话
语言习得
任务(项目管理)
语法
感知
自我效能感
人工智能
移动应用程序
心理学
自然语言处理
多媒体
数学教育
语言学
万维网
社会心理学
沟通
工程类
哲学
神经科学
系统工程
作者
Audrey K. Kittredge,Elise Hopman,Ben Reuveni,Danielle Dionne,C. Daniel Freeman,Xiangying Jiang
标识
DOI:10.3389/feduc.2025.1499497
摘要
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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