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 …
Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities
HM Truong - Computers in human behavior, 2016 - Elsevier
Learning styles which refer to students' preferred ways to learn can play an important role in
adaptive e-learning systems. With the knowledge of different styles, the system can offer …
adaptive e-learning systems. With the knowledge of different styles, the system can offer …
A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms
K Colchester, H Hagras, D Alghazzawi… - Journal of Artificial …, 2017 - sciendo.com
The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …
fact that the learning process is different for each and every learner. In order to provide …
Learning path personalization and recommendation methods: A survey of the state-of-the-art
A learning path is the implementation of a curriculum design. It consists of a set of learning
activities that help users achieve particular learning goals. Personalizing these paths …
activities that help users achieve particular learning goals. Personalizing these paths …
Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011
Implementing instructional interventions to accommodate learner differences has received
considerable attention. Among these individual difference variables, the empirical evidence …
considerable attention. Among these individual difference variables, the empirical evidence …
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 …
Factors influencing beliefs for adoption of a learning analytics tool: An empirical study
Present research and development offer various learning analytics tools providing insights
into different aspects of learning processes. Adoption of a specific tool for practice is based …
into different aspects of learning processes. Adoption of a specific tool for practice is based …
An overview of adaptive e-learning systems
S Ennouamani, Z Mahani - 2017 eighth international …, 2017 - ieeexplore.ieee.org
Due to the emergence of information and communication technologies in various fields,
which have also affected the educational sector, adaptive e-learning systems are …
which have also affected the educational sector, adaptive e-learning systems are …
Role of personality in computer based learning
With the rapid growth of technology enhanced learning, new mediums for learning have
emerged. One of these mediums is computer based learning where the main concern is how …
emerged. One of these mediums is computer based learning where the main concern is how …