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 …

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 …

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 …

Learning path personalization and recommendation methods: A survey of the state-of-the-art

AH Nabizadeh, JP Leal, HN Rafsanjani… - Expert Systems with …, 2020 - Elsevier
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 …

Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011

Y Akbulut, CS Cardak - Computers & Education, 2012 - Elsevier
Implementing instructional interventions to accommodate learner differences has received
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 …

[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 …

Factors influencing beliefs for adoption of a learning analytics tool: An empirical study

L Ali, M Asadi, D Gašević, J Jovanović, M Hatala - Computers & Education, 2013 - Elsevier
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 …

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 …

Role of personality in computer based learning

A Tlili, F Essalmi, M Jemni, NS Chen - Computers in Human Behavior, 2016 - Elsevier
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 …