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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 …
more convenient for many people, it has also caused information overload. According to a …
[HTML][HTML] Recommender Systems in E-learning
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 …
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
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 …
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
Advances in information and communication technologies have contributed to the
increasing use of virtual learning environments as support tools in teaching and learning …
increasing use of virtual learning environments as support tools in teaching and learning …
A literature review on intelligent services applied to distance learning
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 …
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 …
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RETRACTED ARTICLE: Machine learning-based AI approaches for personalized smart education systems using entropy and TOPSIS approach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 …
machine learning (ML)-based methods are serving a very positive role in executing …
Predicting learners need for recommendation using dynamic graph-based knowledge tracing
Personalized recommendation as a practical approach to overcoming information
overloading has been widely used in e-learning. Based on learners individual knowledge …
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 …
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
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 …
convenience and ease that provide to learners. However, MOOCs suffer from high drop out …