解析人工智能支持的汉语作为外语学习:初学者的认知和动机因素如何预测口语能力。

IF 2.7 4区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
Jie Zhang, Xiaosheng Zhou, Ying Soon Goh
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引用次数: 0

摘要

本研究考察了在人工智能(AI)支持的、基于项目的对外汉语学习环境中,影响学习者普通话口语能力的认知和动机因素。它专门研究了学习者对人工智能工具的心理参与与语言表现的关系。采用混合方法解释设计。本研究以东南亚地区120名大学生为研究对象,采用相关分析和多元回归分析方法进行定量分析。通过剧本写作和口头项目报告来评估口语能力。为了丰富解释,从访谈、学习者产生的伪影和教师观察中获得定性数据,其中有30个学习者的目的子样本。结果表明,技术熟练程度、感知有用性和对人工智能的积极态度是口语表现的显著正向预测因子。相比之下,对人工智能的高度信任与结果呈负相关,表明学习者自主性减弱。人工智能的使用与剧本写作分数之间存在很强的相关性,而口头陈述的相关性较弱,但却很重要。值得注意的是,书面和口头表现没有显著相关,突出了这些模式的不同发展轨迹。定性结果显示,批判性和战略性地使用人工智能的学习者比被动依赖人工智能的学习者取得了更好的结果。这项研究有助于理解人工智能辅助语言学习的心理机制。它强调了培养有意识和自主参与技术以支持口语能力的重要性,并强调了在人工智能集成教育环境中需要特定技能的教学策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unpacking AI-supported Chinese as a foreign language learning: How beginner-level learners' cognitive and motivational factors predict speaking proficiency.

This study examines the cognitive and motivational factors that influence Mandarin speaking proficiency among learners in an artificial intelligence (AI)-supported, project-based Chinese as a Foreign Language (CFL) learning environment. It specifically investigates how learners' psychological engagement with AI tools relates to language performance. A mixed-methods explanatory design was adopted. Quantitative data were collected from 120 beginner-level CFL university students in Southeast Asia and analyzed using correlation and multiple regression techniques. Speaking proficiency was assessed through both script writing and oral project presentations. To enrich interpretation, qualitative data were obtained from interviews, learner-generated artifacts, and instructor observations with a purposive subsample of 30 learners. Results indicated that technical proficiency, perceived usefulness, and positive attitudes toward AI were significant positive predictors of speaking performance. In contrast, high levels of trust in AI were negatively associated with outcomes, suggesting diminished learner autonomy. A strong correlation emerged between AI usage and script writing scores, while a weaker but significant relationship was observed for oral presentation. Notably, written and oral performance were not significantly correlated, highlighting distinct developmental trajectories in these modalities. Qualitative results revealed that learners who engaged critically and strategically with AI achieved better outcomes than those who relied on it passively. This study contributes to understanding the psychological mechanisms underlying AI-assisted language learning. It highlights the importance of fostering mindful and autonomous engagement with technology to support speaking proficiency, and underscores the need for skill-specific instructional strategies in AI-integrated educational settings.

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来源期刊
Acta Psychologica
Acta Psychologica PSYCHOLOGY, EXPERIMENTAL-
CiteScore
3.00
自引率
5.60%
发文量
274
审稿时长
36 weeks
期刊介绍: Acta Psychologica publishes original articles and extended reviews on selected books in any area of experimental psychology. The focus of the Journal is on empirical studies and evaluative review articles that increase the theoretical understanding of human capabilities.
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