Enabling learner independence and self-regulation in language education using AI tools: a systematic review

In this study, a systematic review was conducted to explore the role of Artificial Intelligence (AI) in language learning, drawing insights from 18 peer-reviewed articles published between 2009 and 2024. The research utilised the PRISMA framework to ensure a comprehensive, structured approach to dat...

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Main Author: Ahmadreza Mohebbi
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Education
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/2331186X.2024.2433814
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author Ahmadreza Mohebbi
author_facet Ahmadreza Mohebbi
author_sort Ahmadreza Mohebbi
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description In this study, a systematic review was conducted to explore the role of Artificial Intelligence (AI) in language learning, drawing insights from 18 peer-reviewed articles published between 2009 and 2024. The research utilised the PRISMA framework to ensure a comprehensive, structured approach to data collection and analysis. Articles were sourced from academic databases such as Google Scholar, ERIC, and PubMed, using targeted search terms including “AI and learning speaking,” “AI and learning writing,” and “AI and improving listening.” A meticulous screening process was applied, first by title and abstract, followed by full-text analysis to ensure relevance. The studies were then subject to a dual-round thematic analysis, with each round focusing on identifying patterns and cross-validating findings related to AI’s impact on language learning outcomes. The findings of the study revealed that AI-driven tools significantly enhance language learning outcomes by promoting engagement, providing immediate feedback, and facilitating personalised learning experiences. Specific AI tools like Virtual Reality (VR) applications, automated writing feedback systems, and chatbots were analysed for their effectiveness in enhancing speaking, writing, and grammar skills. By conducting a detailed thematic analysis, this study highlighted both the benefits and limitations of AI-driven language education, underscoring AI’s role in promoting self-regulated learning while noting areas needing cautious implementation, such as over-reliance on technology and equitable access.
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spelling doaj-art-0fb4efbbf56d4827afbc1537963c464a2025-08-20T02:32:11ZengTaylor & Francis GroupCogent Education2331-186X2025-12-0112110.1080/2331186X.2024.2433814Enabling learner independence and self-regulation in language education using AI tools: a systematic reviewAhmadreza Mohebbi0The University of Auckland, Auckland, New ZealandIn this study, a systematic review was conducted to explore the role of Artificial Intelligence (AI) in language learning, drawing insights from 18 peer-reviewed articles published between 2009 and 2024. The research utilised the PRISMA framework to ensure a comprehensive, structured approach to data collection and analysis. Articles were sourced from academic databases such as Google Scholar, ERIC, and PubMed, using targeted search terms including “AI and learning speaking,” “AI and learning writing,” and “AI and improving listening.” A meticulous screening process was applied, first by title and abstract, followed by full-text analysis to ensure relevance. The studies were then subject to a dual-round thematic analysis, with each round focusing on identifying patterns and cross-validating findings related to AI’s impact on language learning outcomes. The findings of the study revealed that AI-driven tools significantly enhance language learning outcomes by promoting engagement, providing immediate feedback, and facilitating personalised learning experiences. Specific AI tools like Virtual Reality (VR) applications, automated writing feedback systems, and chatbots were analysed for their effectiveness in enhancing speaking, writing, and grammar skills. By conducting a detailed thematic analysis, this study highlighted both the benefits and limitations of AI-driven language education, underscoring AI’s role in promoting self-regulated learning while noting areas needing cautious implementation, such as over-reliance on technology and equitable access.https://www.tandfonline.com/doi/10.1080/2331186X.2024.2433814AI-enhanced language learningeducational technologyself-regulated learninglearner autonomyArtificial IntelligenceLanguage & Education
spellingShingle Ahmadreza Mohebbi
Enabling learner independence and self-regulation in language education using AI tools: a systematic review
Cogent Education
AI-enhanced language learning
educational technology
self-regulated learning
learner autonomy
Artificial Intelligence
Language & Education
title Enabling learner independence and self-regulation in language education using AI tools: a systematic review
title_full Enabling learner independence and self-regulation in language education using AI tools: a systematic review
title_fullStr Enabling learner independence and self-regulation in language education using AI tools: a systematic review
title_full_unstemmed Enabling learner independence and self-regulation in language education using AI tools: a systematic review
title_short Enabling learner independence and self-regulation in language education using AI tools: a systematic review
title_sort enabling learner independence and self regulation in language education using ai tools a systematic review
topic AI-enhanced language learning
educational technology
self-regulated learning
learner autonomy
Artificial Intelligence
Language & Education
url https://www.tandfonline.com/doi/10.1080/2331186X.2024.2433814
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