A Comprehensive Study On Personalized Learning Recommendation In E-Learning System-Reference-Cited by-同舟云学术

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A Comprehensive Study On Personalized Learning Recommendation In E-Learning System

Published:2024 Issue: Volume:12 Page:100446-100482
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bin Qiu¹^ORCID,Zuhairi Megat F.²^ORCID,Morcos Jacques³

Affiliation:

1. School of Artificial Intelligence, Ningbo Polytechnic, Ningbo, China

2. Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia

3. UniKL-LRUniv Joint ICT Laboratory (KLR-JIL), Universiti Kuala Lumpur, Kuala Lumpur, Malaysia

Funder

Universiti Kuala Lumpur and Embassy of France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10597557.pdf?arnumber=10597557

Reference77 articles.

1. Towards an Evolution of E-Learning Recommendation Systems: From 2000 to Nowadays

2. E-learning Recommendation Systems: A Literature Review

3. A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020

4. Review of ontology-based recommender systems in e-learning

5. A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER

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