Now showing items 1-5 of 5
An Adaptive Learning Ontological Framework Based on Learning Styles and Teaching Strategies
(International Conference on Education and E-learning, 2017-09)
Ontology are increasingly being used in a variety of applications, and particularly in adaptive e-learning. They have the potential to enable developers to create adaptive course content for specified domains. E-learning ...
ULEARN: Personalized course Learning Objects based on Hybrid Recommendation approach
Adaptive e-learning recommender system is observed one of the exciting research discipline in the education and teaching throughout the past few decades, since, the learning style is specific for each student In reality ...
A Novel Algorithm for Course Learning Object Recommendation Based on Student Learning Styles
Explosive growth of e-learning in the recent years has faced difficulty of locating appropriate learning resources to match the students learning styles. Recommender system is a promising technology in e-learning environments ...
ULEARN: Personalised Learner’s Profile Based On Dynamic Learning Style Questionnaire
E-Learning recommender system effectiveness re- lies upon their ability to recommend appropriate learning con- tents according to the learner learning style and preferences. An effective approach to handle the learner ...
ULEARN: Personalized Course Learning Objects Based on Hybrid Recommendation Approach
(International Journal of Information and Education Technology, 2018-12)
The success of e-learning systems depends on their capability to automatically retrieve and recommend relevant learning content according to the preferences of specific learner profiles. Generally, e-learning systems ...