A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020
NS Raj, VG Renumol - Journal of Computers in Education, 2022 - Springer
In personalized learning, each student gets a customized learning plan according to their
pace of learning, instructional preferences, learning objects, etc. Hence the content …
pace of learning, instructional preferences, learning objects, etc. Hence the content …
A systematic review: machine learning based recommendation systems for e-learning
SS Khanal, PWC Prasad, A Alsadoon… - Education and Information …, 2020 - Springer
The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …
difficult to locate specific information from data pools. Personalization systems attempt to …
AI-based personalized e-learning systems: Issues, challenges, and solutions
A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …
compared to a conventional e-learning system, which provides similar contents to each …
Adaptive e-learning systems through learning styles: A review of the literature
I Katsaris, N Vidakis - Advances in Mobile Learning Educational …, 2021 - syncsci.com
The domain of education has taken great leaps by capitalizing on technology and the
utilization of modern devices. Nowadays, the established term" one size fits all" has begun to …
utilization of modern devices. Nowadays, the established term" one size fits all" has begun to …
An ontology-based hybrid e-learning content recommender system for alleviating the cold-start problem
J Jeevamol, VG Renumol - Education and Information Technologies, 2021 - Springer
An e-learning recommender system (RS) aims to generate personalized recommendations
based on learner preferences and goals. The existing RSs in the e-learning domain still …
based on learner preferences and goals. The existing RSs in the e-learning domain still …
[HTML][HTML] Review and classification of content recommenders in E-learning environment
J Joy, RVG Pillai - Journal of King Saud University-Computer and …, 2022 - Elsevier
E-learning recommender systems are becoming more popular due to the massive learning
materials available online and the changing pedagogy. A content recommender system in …
materials available online and the changing pedagogy. A content recommender system in …
Knowledge-based recommendation system using semantic web rules based on Learning styles for MOOCs
With web-based education and Technology Enhanced Learning (TEL) assuming new
importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms …
importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms …
[HTML][HTML] Learning from patient safety incidents in the emergency department: a systematic review
S Amaniyan, BO Faldaas, PA Logan… - The Journal of …, 2020 - Elsevier
Background Patient safety incidents are commonly observed in critical and high demanding
care settings, including the emergency department. There is a need to understand what …
care settings, including the emergency department. There is a need to understand what …
The transition from intelligent to affective tutoring system: a review and open issues
The swelling use of computerized learning, accompanied by the rapid growth of information
technology has become a surge of interest in the research community. Consequently …
technology has become a surge of interest in the research community. Consequently …
Survey of personalized learning software systems: A taxonomy of environments, learning content, and user models
This paper presents a comprehensive systematic review of personalized learning software
systems. All the systems under review are designed to aid educational stakeholders by …
systems. All the systems under review are designed to aid educational stakeholders by …