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BRIEF RESEARCH REPORT article

Front. Educ.
Sec. Digital Education
Volume 10 - 2025 | doi: 10.3389/feduc.2025.1498233
This article is part of the Research Topic Psychological Well-Being and Digitalization in Education View all 22 articles

Towards an adaptive learning assessment pathway

Provisionally accepted
Mounia Machkour Mounia Machkour *Mohamed El Jihaoui Mohamed El Jihaoui Latifa Lamalif Latifa Lamalif Sophia Faris Sophia Faris Khalifa Mansouri Khalifa Mansouri
  • Laboratory of Modelling and Simulation of Intelligent Industrial Systems ENSET, Hassan II University of Casablanca, Morocco, Casablanca, Morocco

The final, formatted version of the article will be published soon.

    The purpose of this study is to investigate how an adaptive assessment pathway can contribute to promoting personalized learning and improving access to education for all learners, regardless of their individual learning styles, paces, or needs. The study suggests a personalized learning assessment plan incorporating differentiated pedagogy and Universal Design for Learning (UDL). We conduct the experiment using the Moodle platform, taking advantage of Information and Communication Technologies (ICT) to reach a larger number of learners. The research used a mixed methodology to qualitatively analyze traditional learning assessment pathways' limitations and quantitatively examine the proposed adaptive pathway's impact on learning outcomes. While the results show a significant improvement in learning outcomes (88.9% improvement in Text study, 50% in Language activity, 55.6% in Writing, 80.6% in Total Control, and 77.8% in Oral production), the study also highlights the need for further research into the mechanisms, strategies, tools, approaches, issues, and future prospects associated with learning assessment.

    Keywords: Adaptive Learning, Differentiated teaching, Skills assessment, TIC, UDL

    Received: 18 Sep 2024; Accepted: 14 Jan 2025.

    Copyright: © 2025 Machkour, Jihaoui, Lamalif, Faris and Mansouri. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Mounia Machkour, Laboratory of Modelling and Simulation of Intelligent Industrial Systems ENSET, Hassan II University of Casablanca, Morocco, Casablanca, Morocco

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.