Mehdi Manoocherzadeh
Zerodale Inc

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Artificial Intelligence in Project-Based Learning: A Systematic Review of Its Role in English Language Acquisition and Pedagogical Innovation Mehdi Manoocherzadeh; Hossein Isaee; Hamed Barjesteh
Indonesian Journal of Pedagogy and Teacher Education Vol. 3 No. 3 (2025): Indonesian Journal of Pedagogy and Teacher Education
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijopate.v3i3.502

Abstract

Background of Study: The integration of artificial intelligence (AI) into project-based learning (PBL) is increasingly explored as a means to enhance English language acquisition. Emerging AI technologies such as natural language processing, machine learning, and generative AI show potential to support language learning in dynamic, learner-centered environments. Aims and Scope of Paper: This review investigates how AI has been applied in PBL contexts to support English language learning, highlighting both benefits and challenges. Methods: Following the PRISMA framework, a systematic review was conducted of 12 studies published between 2020 and 2024 across six major databases. Results: Seven key elements of AI-enhanced PBL were identified: (1) real-time feedback and automated assessment, (2) adaptive learning pathways, (3) contextualized language use, (4) continuous AI language support, (5) structured project guidance, (6) collaborative learning, and (7) intelligent content customization. These elements were found to improve learner motivation, engagement, and language proficiency while promoting transferable academic and professional skills. However, challenges include overdependence on AI, reduced teacher-student interaction, insufficient training in AI tools, and biases in AI-generated content. The review’s scope is limited by the small number of studies and methodological diversity. Conclusion: AI-enhanced PBL offers promising opportunities for advancing English language education by fostering motivation, proficiency, and transferable skills. To ensure sustainable implementation, future efforts must address challenges related to pedagogy, teacher training, and ethical AI use. This review provides practical insights for educators and policymakers seeking to balance technological innovation with human-centered teaching.
Digital Literacy and E-Module Integration in Online Learning: A Systematic Literature Review Using PRISMA Framework yeliza; Mehdi Manoocherzadeh; Hamed Barjesteh
Journal of Sustainable Educational Technology and Innovation Vol. 2 No. 1 (2026): Journal of Sustainable Educational Technology and Innovation
Publisher : APS-TPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jseti.v2i1.222

Abstract

Background:Digital transformation has accelerated the adoption of online learning, making digital literacy and e-modules essential for effective learning. However, research trends on their integration remain insufficiently explored.Aims:This study analyzes research trends, intellectual structures, and the role of digital literacy and e-module integration in online learning through bibliometric analysis and a systematic literature review (PRISMA)Methods:A bibliometric analysis and PRISMA-based SLR were conducted using articles from Scopus and Google Scholar. Data were screened, cleaned with OpenRefine, and analyzed using Biblioshiny and VOSviewer to examine publication trends, collaborations, citations, and research themes.Results:Publications increased during 2024-2026, with digital literacy, e-learning, online learning, and e-modules as dominant themes. The findings show that digital literacy improves online learning effectiveness, while e-modules enhance engagement, independent learning, and critical thinking. Artificial intelligence and adaptive learning emerged as promising future research topics.Conclusion:Digital literacy and e-module integration are key factors in improving online learning. This study highlights current research trends, identifies research gaps, and provides recommendations for future technology-enhanced education