A systematic mapping review on MOOC recommender systems
Online learning environments (OLE) including learning management systems (LMS) and
massive open online courses (MOOCs) are gaining popularity as the best modern alternate …
massive open online courses (MOOCs) are gaining popularity as the best modern alternate …
A literature review of implemented recommendation techniques used in massive open online courses
Abstract Massive Open Online Courses (MOOCs) are receiving attention from learners
because MOOCs enable them to satisfy their learning needs through an open, participatory …
because MOOCs enable them to satisfy their learning needs through an open, participatory …
Guess you like: course recommendation in MOOCs
X Jing, J Tang - Proceedings of the international conference on web …, 2017 - dl.acm.org
Recommending courses to online students is a fundamental and also challenging issue in
MOOCs. Not exactly like recommendation in traditional online systems, students who …
MOOCs. Not exactly like recommendation in traditional online systems, students who …
Recommender systems for MOOCs: A systematic literature survey (January 1, 2012–July 12, 2019)
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 …
and providers, and thus MOOC providers have started to further enhance the use of MOOCs …
[HTML][HTML] Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources
Educational recommenders have received much less attention in comparison with e-
commerce-and entertainment-related recommenders, even though efficient intelligent tutors …
commerce-and entertainment-related recommenders, even though efficient intelligent tutors …
[PDF][PDF] MOOCs Recommender System using Ontology and Memory-based Collaborative Filtering.
K Rabahallah, L Mahdaoui, F Azouaou - ICEIS (1), 2018 - academia.edu
With Massive Open Online Courses (MOOCs) proliferation, online learners are exposed to
various challenges. Therefore, the lack of personalized recommendation of MOOCs can …
various challenges. Therefore, the lack of personalized recommendation of MOOCs can …
Moocs recommender system with siamese neural network
A Faroughi, P Moradi - 2022 9th International and the 15th …, 2022 - ieeexplore.ieee.org
Massive open online courses (MOOCs) are becoming a popular method of education, as
they offer students a large-scale learning opportunity. However, the variety of MOOC …
they offer students a large-scale learning opportunity. However, the variety of MOOC …
Course Recommendation for University Environments.
Recommending courses to students is a fundamental and also challenging issue in the
traditional university environment. Not exactly like course recommendation in MOOCs, the …
traditional university environment. Not exactly like course recommendation in MOOCs, the …
Extracting, mining and predicting users' interests from social media
The abundance of user generated content on social media provides the opportunity to build
models that are able to accurately and effectively extract, mine and predict users' interests …
models that are able to accurately and effectively extract, mine and predict users' interests …
[PDF][PDF] LeCoRe: A Framework for Modeling Learner's preference.
ABSTRACT Learning & development (L&D) is an important strategic factor for sustainable
business growth of any organization. L&D has become an integral part of an organization …
business growth of any organization. L&D has become an integral part of an organization …