Recommendation systems for education: Systematic review
Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …
amounts of information online, which has become a problem for users regarding the time …
A systematic map** 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 …
[HTML][HTML] Enabling recommendation system architecture in virtualized environment for e-learning
E-learning sites are useful for improving the skills and awareness of the academic
backbone, such as instructors, students, administrative staff, and those who are searching …
backbone, such as instructors, students, administrative staff, and those who are searching …
Enabling remote learning system for virtual personalized preferences during COVID-19 pandemic
The education system worldwide has been affected by the Corona Virus Diseases 2019
(COVID-19) pandemic, resulting in the interruption of all educational institutions. Moreover …
(COVID-19) pandemic, resulting in the interruption of all educational institutions. Moreover …
Providing recommendations for communities of learners in MOOCs ecosystems
Abstract Massive Open Online Courses (MOOCs) have been widely disseminated due to the
arrival of Web 2.0. However, the growth of MOOCs brings some difficulties for students in …
arrival of Web 2.0. However, the growth of MOOCs brings some difficulties for students in …
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 …
A recommendation system based on knowledge gap identification in moocs ecosystems
The consolidation of recommendation systems in a big data era brings opportunities in
different scenarios to customize methods that recommend data. In the scenarios of the …
different scenarios to customize methods that recommend data. In the scenarios of the …
Recommender system to support MOOCs teachers: Framework based on ontology and linked data
The proliferation of Massive Open Online Courses (MOOCs) has generated conflicting
opinions about their quality. In this paper, we aim at improving the quality of MOOCs through …
opinions about their quality. In this paper, we aim at improving the quality of MOOCs through …
Research on MOOC teaching mode in higher education based on deep learning
Y Tian, Y Sun, L Zhang, W Qi - Computational intelligence and …, 2022 - Wiley Online Library
With the rapid development of computer technology and network technology and the
widespread popularity of electronic equipment, communication among people is more …
widespread popularity of electronic equipment, communication among people is more …
Developments in Educational Recommendation Systems: a systematic review
PCR Pinho, R Barwaldt, D Espíndola… - 2019 IEEE Frontiers …, 2019 - ieeexplore.ieee.org
This abstract refers to a full paper in the research category. This paper presents a Systematic
Review (SR) that aims at characterising the current scenario of Educational …
Review (SR) that aims at characterising the current scenario of Educational …