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Author

Ali El Mezouary

Observed names: A. El Mezouary, A. Mezouary, Ali E L Mezouary, Ali EL MEZOUARY, Ali El Mezouary, Ali El mezouary
Observed institution: Université Ibn Zohr
ORCID: 0009-0006-9746-3221
Observed ORCID: 0009-0006-9746-3221
OpenAlex ID: A5012018808
A predictive model for the identification of learning styles in MOOC environments
2019 · Brahim Hmedna, Ali El Mezouary, et al. · Cluster Computing · 72
A machine learning approach to identify and track learning styles in MOOCs
2016 · Brahim Hmedna, Ali El Mezouary, et al. · 30
A New Hybrid Approach to Detect and Track Learner’s Engagement in e-Learning
2023 · Khalid Benabbes, Khalid Housni, et al. · IEEE Access · 24
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Identifying and tracking learning styles in MOOCs: A neural networks approach
2017 · Brahim Hmedna, Ali El Mezouary, et al. · International journal of innovation and applied studies · 22
How Does Learners' Prefer to Process Information in MOOCs? A Data-driven Study
2019 · Brahim Hmedna, Ali El Mezouary, et al. · Procedia Computer Science · 21
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Context and Learning Style Aware Recommender System for Improving the E-Learning Environment
2023 · Khalid Benabbes, Khalid Housni, et al. · International Journal of Emerging Technologies in Learning (iJET) · 18
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To context-aware learner modeling based on ontology
2018 · Laila Akharraz, Ali El Mezouary, et al. · IEEE Global Engineering Education Conference (EDUCON) · 16
An Approach for the Identification and Tracking of Learning Styles in MOOCs
2016 · Brahim Hmedna, Ali El Mezouary, et al. · Advances in intelligent systems and computing · 16
Recommendation System Issues, Approaches and Challenges Based on User Reviews
2022 · Khalid Benabbes, Khalid Housni, et al. · Journal of Web Engineering · 14
New Automatic Hybrid Approach for Tracking Learner Comprehension Progress in the LMS
2022 · Khalid Benabbes, Brahim Hmedna, et al. · International Journal of Interactive Mobile Technologies (iJIM) · 13
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Explore the influence of contextual characteristics on the learning understanding on LMS
2023 · Khalid Benabbes, Khalid Housni, et al. · Education and Information Technologies · 12
Unlocking teachers’ potential: MOOCLS, a visualization tool for enhancing MOOC teaching
2023 · Brahim Hmedna, Aicha Bakki, et al. · Smart Learning Environments · 10
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An evaluation of learner clustering based on learning styles in MOOC course
2019 · Ali EL MEZOUARY, Brahim HMEDNA, et al. · International Conference of Computer Science and Renewable Energies (ICCSRE) · 9
A model of adaptation in Online Learning Environments (LMSs and MOOCs)
2015 · C. Cherkaoui, A. Qazdar, et al. · International Conference on Intelligent Systems: Theories and Applications · 9
Micro-learning design and micro-course structuring: a systematic literature review
2025 · Kaoutar Boumalek, Aicha Bakki, et al. · Interactive Learning Environments · 8
Transforming Microlearning with Generative AI: Current Advances and Future Challenges
2024 · Kaoutar Boumalek, Ali El Mezouary, et al. · Springer eBooks · 8
LMOnto: An Ontology-Based Learner Model for Technology Enhanced Learning Systems
2019 · Laila Akharraz, Ali El Mezouary, et al. · Lecture notes in networks and systems · 6
An Unsupervised Method for Discovering How Does Learners Progress toward Understanding in MOOCs
2021 · Ali El mezouary, Brahim Hmedna, et al. · International Journal of Innovative Technology and Exploring Engineering · 5
Enhancing Learner Resource Recommendations on LMS through Context and Learning Style Analysis
2023 · Khalid Benabbes, Khalid Housni, et al. · IEEE Congress on Information Science and Technology (CiSt) · 2
Exploring Student Involvement in E-Learning
2023 · Khalid Benabbes, Ahmed Zellou, et al. · International Conference on Intelligent Systems: Theories and Applications · 2
Proposal of a Contextual Model for Learning Path Recommendation
2026 · Khalid Benabbes, Ahmed Zellou, et al. · Lecture notes in networks and systems · 1
From Queries to Understanding: Designing the Next-Generation Search Engine
2025 · Assmaa Moutaoukkil, Ali E L Mezouary · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · 1
An Efficient Arabic HMM System Based on Convolutional Features Learning
2019 · Mustapha AMROUCH, Mouhcine RABI, et al. · International Conference of Computer Science and Renewable Energies (ICCSRE) · 1
Personalizing Microlearning with Retrieval-Augmented Generation (RAG)
2026 · Kaoutar Boumalek, Ali El Mezouary, et al. · Lecture notes in networks and systems
Decoupling retrieval quality from generative reasoning: A multi-dimensional benchmark of RAG architectures
2026 · Assmaa Moutaoukkil, Ali El Mezouary, et al. · Springer Link (Chiba Institute of Technology)
Works count: 37
Citation count: 320
H-index: 11
I10-index: 12
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