A review of deep learning-based recommender system in e-learning environments

T Liu, Q Wu, L Chang, T Gu - Artificial Intelligence Review, 2022 - Springer
While the recent emergence of a large number of online course resources has made life
more convenient for many people, it has also caused information overload. According to a …

[HTML][HTML] Recommender Systems in E-learning

Q Zhang, J Lu, G Zhang - Journal of Smart Environments and …, 2021 - oaepublish.com
In this era when every aspect of society is accelerating, people are always seeking
improvement to stay competitive in their careers. E-learning systems fit into the ever …

[HTML][HTML] Aisar: Artificial intelligence-based student assessment and recommendation system for e-learning in big data

W Bagunaid, N Chilamkurti, P Veeraraghavan - Sustainability, 2022 - mdpi.com
Educational systems have advanced with the use of electronic learning (e-learning), which
is a promising solution for long-distance learners. Students who engage in e-learning can …

Learning analytics and collaborative groups of learners in distance education: a systematic map** study

LM Da Silva, LPS Dias, JLV Barbosa, SJ Rigo… - Informatics in …, 2022 - ceeol.com
Advances in information and communication technologies have contributed to the
increasing use of virtual learning environments as support tools in teaching and learning …

A literature review on intelligent services applied to distance learning

LM da Silva, LPS Dias, S Rigo, JLV Barbosa… - Education …, 2021 - mdpi.com
Distance learning has assumed a relevant role in the educational scenario. The use of
Virtual Learning Environments contributes to obtaining a substantial amount of educational …

[HTML][HTML] An Analysis of learners' affective and cognitive traits in Context-Aware Recommender Systems (CARS) using feature interactions and Factorization Machines …

A Chanaa - Journal of King Saud University-Computer and …, 2022 - Elsevier
Abstract Massive Open Online Courses (MOOCs) have witnessed a fast emergence in
recent years thanks to their open and massive nature. A huge number of learners with …

RETRACTED ARTICLE: Machine learning-based AI approaches for personalized smart education systems using entropy and TOPSIS approach

X Wang, C Liu, M Su, F Li, M Dong - Soft Computing, 2024 - Springer
We know that in today's technologically sophisticated world, artificial intelligence (AI) and
machine learning (ML)-based methods are serving a very positive role in executing …

Predicting learners need for recommendation using dynamic graph-based knowledge tracing

A Chanaa, NE El Faddouli - … Conference, AIED 2020, Ifrane, Morocco, July …, 2020 - Springer
Personalized recommendation as a practical approach to overcoming information
overloading has been widely used in e-learning. Based on learners individual knowledge …

A Cognitive Level Evaluation Method Based on Machine Learning Approach and Bloom of Taxonomy for Online Assessments.

A Chanaa - Journal of Education and Learning (EduLearn), 2024 - ERIC
Adaptive online learning can be realized through the evaluation of the learning process.
Monitoring and supervising learners' cognitive levels and adjusting learning strategies can …

BERT and prerequisite based ontology for predicting learner's confusion in MOOCs discussion forums

A Chanaa, NE El Faddouli - International Conference on Artificial …, 2020 - Springer
Abstract The use of Massive Open Online Courses (MOOCs) is rapidly increasing due to the
convenience and ease that provide to learners. However, MOOCs suffer from high drop out …