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Arab World English Journal (AWEJ) Special Issue on CALL Vol. 17, No.12. July 2026 Pp.96-108
Department of English Language and Literature, Faculty of Languages University of Jordan
Department of Arabic Language, Jadara University Irbid, 21110, Jordan
Department of English Language and Literature, World Islamic Sciences and Education University (WISE), Amman -Jordan
Department of Arabic Language and Literature, Faculty of Arts and Languages, Jadara University Irbid, 21110, Jordan
Department of English,
Al-Madinah International University, Malaysia
English Language Institute, University of Tabuk, Tabuk, Saudi Arabia
This paper provides a literature review of the research on the use of machine learning and data-driven feedback in English language learning among English as a Foreign Language university students. It focuses on how machine and data-driven technologies like Natural Language Processing, Machine Learning, and speech recognition can be combined to offer real-time and personalized feedback. The motivation of this research stems from the unsatisfactory state of the EFL instructions, in particular the weaknesses of the traditional feedback, which tend to be time-consuming, next to useless and not customized well enough to the learner. The paper discusses the issue of raising the quality of feedback, making it more timely, and personalizing it while at the same time overcoming scattered research on technology-assisted language learning. Through a thorough research method that combines recent peer-reviewed papers using a mixed-methods approach, the authors of this review study the effects of this form of feedback on grammar vocabulary pronunciation, student engagement, and retention. Results show that, in comparison to traditional approaches, machine- and data-driven systems improve learning through increased speed, accessibility, and adaptability. Nevertheless, issues including misleading system quality, reliance on big datasets, and institutional reluctance to embrace new technology continue to exist. This study is an important contribution to making technical breakthroughs and teaching practice work hand in hand instead of running apart. Its results can help the teachers, the technology creators, and the people who set the rules and standards get their work done more accurately. At the same time, the paper points out how hybrid feedback systems that integrate both human and machine-generated components are the way forward. Additionally, the article is a step forward for data-driven education and it endorses the idea of breaking down the barriers of personalized learning through the use of technology in various educational settings.
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Abdelrazzaq Tahat is an assistant professor at the University of Jordan Faculty of languages, Department of English languages and literature. He is specialized in linguistics with research interest in sociolinguistics, morphology and cognitive linguistics.
ORCID: https://orcid.org/0000-0001-5242-9931
Afeera Khanam is an English faculty member at University of Jeddah with over twenty-one years of teaching experience. She earned her PhD in English from Acharya Nagarjuna University. Her research interests include postcolonial literature, gender studies, translation studies, language pedagogy, and AI in English language teaching. She has published widely, including studies on writers such as Manju Kapur and Anita Nair. ORCID: https://orcid.org/0009-0002-9863-1259
Lina Sider obtained her Ph.D. Degree in English Language/ Linguistics from the University of Jordan, Amman, Jordan. She is an Assistant Professor at W.I.S.E University, Amman, Jordan. Her main research interests include sociolinguistics, language variation, phonology and Syntax. ORCID: https://orcid.org/0009-0006-1370-2943
Hanaa Al-Shloul is a prominent scholar in Applied Linguistics, with a special focus on Neuro-Linguistic Programming. Her work bridges modern linguistic theory with Arab cultural authenticity, enriching contemporary language studies. Her research centers on discourse analysis and the development of both theoretical and practical linguistic approaches. She is the author of several specialized books and dictionaries. ORCID: https://orcid.org/0009-0003-8684-0878
Eman Salem Takhshown Alawneh is an assistant professor at the University of Jadara Faculty of Arts, Department of Arabic languages and literature. She is specialized in linguistics with research interest in Arabic linguistics, morphology.
ORCID: https://orcid.org/0009-0000-5259-1584
Monther M. Y. Aljarrah is an Assistant Professor of English at Al-Madinah International University. He holds a PhD in Applied Linguistics from Universiti Malaysia Terengganu, specializing in genre analysis and discourse studies. His research interests include corpus linguistics, sociolinguistics, AI in language learning, and bilingualism. He has published in Scopus and Web of Science–indexed journals and actively presents at international conferences. ORCID: https://orcid.org/0009-0003-1527-7766
Abdallah Mohammad S Almahasneh is a PhD holder from Universiti Malaysia Terengganu and Lecturer at Department of English Language Skills at the English Language Institute, University of Tabuk. His research interest includes all language skills in EFL and applied linguistics. ORCID: https://orcid.org/0000-0001-6307-9762