A systematic mapping review on MOOC recommender systems

I Uddin, AS Imran, K Muhammad, N Fayyaz… - IEEE …, 2021 - ieeexplore.ieee.org
Online learning environments (OLE) including learning management systems (LMS) and
massive open online courses (MOOCs) are gaining popularity as the best modern alternate …

Recommender systems for MOOCs: A systematic literature survey (January 1, 2012–July 12, 2019)

A Khalid, K Lundqvist, A Yates - … Review of Research in Open and …, 2020 - erudit.org
In recent years, massive open online courses (MOOCs) have gained popularity with learners
and providers, and thus MOOC providers have started to further enhance the use of MOOCs …

Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches

M Nilashi, B Minaei-Bidgoli, A Alghamdi… - Expert Systems with …, 2022 - Elsevier
Abstract Massive Open Online Courses (MOOCs) provide learners with high-quality and
flexible online courses with no limitations regarding time and location. Detecting users' …

A comparative analysis of different recommender systems for university major and career domain guidance

C Lahoud, S Moussa, C Obeid, HE Khoury… - Education and …, 2023 - Springer
Academic advising is inhibited at most of the high schools to help students identify
appropriate academic pathways. The choice of a career domain is significantly influenced by …

[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 …

E-Learning Environment Based Intelligent Profiling System for Enhancing User Adaptation

R Kaur, D Gupta, M Madhukar, A Singh, M Abdelhaq… - Electronics, 2022 - mdpi.com
Online learning systems have expanded significantly over the last couple of years. Massive
Open Online Courses (MOOCs) have become a major trend on the internet. During the …

Ontology-based recommender system: a deep learning approach

SJ Gharibi, K BagheriFard, H Parvin, S Nejatian… - The Journal of …, 2024 - Springer
With the massive amount of data available on the Internet, many users face problems when
they need access to the information and goods they need. Adapting information to user …

Models of adaptive learning system in MOOC: A systematic literature review

DL Kusumastuti, AN Hidayanto… - 2021 9th international …, 2021 - ieeexplore.ieee.org
In the current era, many sectors have changed, including the education sector. With the
support of the development of technology and information, it has resulted in changes in …

Learner models for mooc in a lifelong learning context: A systematic literature review

SI Ramírez Luelmo, N El Mawas, J Heutte - … 2020, Virtual Event, May 2–4 …, 2021 - Springer
While setting up a Massive Open Online Course for Lifelong Learners, the choice of the most
adequate Learner Model for this most current context is paramount: not all Learner Models …

[PDF][PDF] Incorporating Feature Selection in the Improved Stacking Algorithm for Online Learning Analysis and Prediction.

H Dai, W Wu, J Li, Y Yuan - Engineering Letters, 2020 - engineeringletters.com
Online learning is becoming a common learning method in the field of education. The
correct classification of online learners plays a vital role in solving the key issues such as …