Exploring the AI-Enhanced Project-Based Learning for English Language Acquisition: A Systematic Review of the Key Elements and Emerging Technology Trends
Abstract
Numerous studies substantiate the positive impact of integrating state-of-the-art technology into project-based learning (PBL) in English language acquisition. Technology like artificial intelligence (AI) within language learning contexts has shown that integrating emerging technology into English language learning effectively aids in language mastery. However, there is a lack of research that explicitly underscores the cutting-edge technology trends and fundamental components involved in the synergy of AI and PBL in English learning. Thus, this study aims to elucidate the disruptive technology trends and key elements contributing to the synergy of AI and PBL in English learning. Guided by the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) framework, this systematic review identified 12 articles published between 2020 and 2024 in journals and conferences from prominent databases, encompassing Eric, IEEE, Science Direct, Scopus, Web of Science and Google Scholar. This systematic review identifies seven critical elements facilitating the integration of AI and PBL in the English learning setting, including real-time feedback and objective assessment, personalized and adaptive learning, real-world context language learning, 24/7 AI-powered language assistant, scaffolding project design, collaborative learning, intelligent content generation and customization. Those findings reveal that the AI-enhanced PBL framework can foster language proficiency, learners’ motivation and engagement and the cultivation of transferable skills.
https://doi.org/10.26803/ijlter.24.2.31
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