Arab World English Journal (AWEJ) Volume 17. Number 3, September 2026 Pp. 546-565

Adaptive AI in EFL Higher Education Instructional Contexts: Credibility and Students’ Learning Engagement

Department of Education Sciences and Technologies of Teaching, Higher School of Teachers ENS, Moulay Ismail University, Morocco

Corresponding Author: h.louatouate@edu.umi.ac.ma

Department of Education Sciences and Technologies of Teaching, Higher School of Teachers ENS, Moulay Ismail University, Morocco

Department of Education Sciences and Technologies of Teaching, Higher School of Teachers ENS, Moulay Ismail University, Morocco

Abstract:

As Generative Artificial Intelligence (GenAI) tools collect data from both reliable and unreliable sources across the internet, concerns have been raised about the credibility of the output content learners are exposed to when seeking these tools for assistance. To address this problematic issue, our study tests the development of a pedagogical assistant trained on a personalized course framework; Besides its equipment with content that aligns with classroom lectures, the virtual assistant was given a comprehensive set of instructions guiding its behavior; Restricting its responses to the provided course material, forbidding the provision of information from any external sources as an initial action to battle against information credibility issues, and limiting its interactions to course-related discussions to promote engagement and mitigate distractions. The study explores the perceived credibility of the tested agent alongside the perceived impact on students’ learning engagement. This study is significant in informing the design of credible, curriculum-aligned AI assistants for EFL learning contexts. To achieve the required results, our study adopts DeLone & McLean’s theoretical framework alongside a quantitative research design with a structured questionnaire as a data-gathering tool. The sample of this study consists of N = 63 students of the Higher School of Teachers, Moulay Ismail University. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 25. Students exhibited positive perceptions towards the custom agent, which they perceived as an engaging and credible source of information that also aligns with the course content they are exposed to during formal lectures. Our findings also revealed a strong correlation between Perceived Impact on Learning Engagement (PILE) and Perceived Credibility (PC), with r (61) = .780. The study acknowledges some limitations and offers recommendations for future studies.

Cite as:

Louatouate, H., Karmouch, M., & Zeriouh, M. (2026). Adaptive AI in EFL Higher Education Instructional Contexts: Credibility and Students’ Learning Engagement. Arab World English Journal, 17(3): 546-565.

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Houda Louatouate is a doctoral researcher at the Higher School of Teachers (ENS), Moulay Ismail University of Meknes. Her research focuses on educational technology and the teaching of English as a Foreign Language (EFL) and English for Specific Purposes (ESP).
ORCID ID: https://orcid.org/0009-0003-2914-4067

Mehdi Karmouch is a doctoral researcher at the Higher School of Teachers (ENS), Moulay Ismail University of Meknes, Morocco. His primary research interests include English Language Teaching (ELT), curriculum design, and educational technology. ORCID ID: https://orcid.org/0009-0006-0671-2588

Mohammed Zeriouh is a university professor at the Higher School of Teachers (ENS), Moulay Ismail University, and the coordinator of the MA program: English Language Teaching and Digital Technology. He organizes various high quality national and international conferences on ELT.
ORCID ID: https://orcid.org/0009-0002-3577-9440