Personalized adaptive learning technologies based on machine learning techniques to identify learning styles: A systematic literature review

SG Essa, T Celik, NE Human-Hendricks - IEEE Access, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) approaches have been used in personalised adaptive education
systems to overcome the limitations of statically determined learning styles (LSs). These …

Sentiment analysis for competence-based e-assessment using machine learning and lexicon approach

M Amraouy, M Bellafkih, A Bennane… - … Conference on Artificial …, 2023 - Springer
Most education systems adopt the competence approach as a reference framework for
learning and teaching processes. In consequence, learning outcomes should be evaluated …

[PDF][PDF] Toward an Effective Model for Evaluating Distance Education.

M Amraouy, M Bellafkih, A Bennane… - Int. J. Emerg. Technol …, 2023 - academia.edu
Distance education has become popular due to their ability to provide learning from almost
anywhere and anytime. COVID-19 forced educational institutions to urgently introduce …

[PDF][PDF] A combined E-learning course recommender system

J Talaghzi, M Bellafkih, A Bennane… - … Journal of Emerging …, 2023 - researchgate.net
In this paper, we propose learners course recommender system of the E-Dirassa platform.
This system, which distinguishes between new and active learners, adopts three …

A proposal for a revised meta-architecture of intelligent tutoring systems to foster explainability and transparency for educators

F Gnadlinger, S Kriglstein - arXiv preprint arXiv:2404.06820, 2024 - arxiv.org
This contribution draws attention to implications connected with meta-architectural design
decisions for intelligent tutoring systems in the context of formative assessments. As a first …

Setting an agenda for urban AI adaptivity in urban planning and architecture e-learning

S Kayed, L Ghoz, F Elbehairy… - Journal of …, 2022 - erjeng.journals.ekb.eg
The rapid spread of technology and learning systems have altered the viewpoint about the
lack of E-learning to the human element. The intersection of AI and education is highlighted …

Supervised association rules for adapting online Competency-Based Learning Path

J Talaghzi, MM Himmi, A Bennane… - 2023 14th …, 2023 - ieeexplore.ieee.org
Online Competency-Based Adaptive Learning Path pertains to a structure aimed at
providing tailored learning experiences to students through personalized content, delivery …

Adaptive Learning Systems: A Comprehensive Overview and Identification of Challenges

K Hilali, M Chergui… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper examines the challenges of adaptive learning through an in-depth analysis of 16
literature reviews covering the period from 2018 to 2023. It explores different components of …

Approaching adaptive support for self-regulated learning

N Seidel, H Karolyi, M Burchart, C de Witt - The learning ideas conference, 2021 - Springer
Students in distance education are expected to self-regulate their learning process. In this
paper, we present a semester planning tool that enables learners to plan, monitor, and …

[PDF][PDF] A Deep Learning Assessment Model for Oral Learning in English Online Education

Y Ji - 2024 - bit.kuas.edu.tw
Existing methods for oral English proficiency assessment such as subjective instructor
evaluations are inconsistent, time-consuming, and susceptible to bias. This study aims to …