The state of the art in methodologies of course recommender systems—a review of recent research
In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …
overlaps. This presents significant challenges to students in selecting successful courses …
Educational recommendation system utilizing learning styles: a systematic literature review
V Thongchotchat, Y Kudo, Y Okada, K Sato - IEEE Access, 2023 - ieeexplore.ieee.org
Learning styles, learners' preferred ways to learn, can be applied to design personalized
learning courses for the individual learner. One of those applications is the recommender …
learning courses for the individual learner. One of those applications is the recommender …
Design and analysis of a cluster-based intelligent hybrid recommendation system for e-learning applications
S Bhaskaran, R Marappan, B Santhi - Mathematics, 2021 - mdpi.com
Recently, different recommendation techniques in e-learning have been designed that are
helpful to both the learners and the educators in a wide variety of e-learning systems …
helpful to both the learners and the educators in a wide variety of e-learning systems …
Design and analysis of an efficient machine learning based hybrid recommendation system with enhanced density-based spatial clustering for digital e-learning …
S Bhaskaran, R Marappan - Complex & Intelligent Systems, 2023 - Springer
A decision-making system is one of the most important tools in data mining. The data mining
field has become a forum where it is necessary to utilize users' interactions, decision-making …
field has become a forum where it is necessary to utilize users' interactions, decision-making …
On recommendation of learning objects using felder-silverman learning style model
The e-learning recommender system in learning institutions is increasingly becoming the
preferred mode of delivery, as it enables learning anytime, anywhere. However, delivering …
preferred mode of delivery, as it enables learning anytime, anywhere. However, delivering …
[PDF][PDF] Analysis of recent trends in e-learning personalization techniques
R Marappan, S Bhaskaran - The Educational Review, USA, 2022 - hillpublisher.com
Customized e-learning dependent on a recommender framework is perceived as the most
fascinating exploration field in schooling and education in this last decade, since the …
fascinating exploration field in schooling and education in this last decade, since the …
The new e-learning adaptation technique based on learner's learning style and motivation
E-learning has increased in popularity, especially during the COVID-19, due to its numerous
advantages that allow learners to study anywhere and anytime. Therefore, recommending a …
advantages that allow learners to study anywhere and anytime. Therefore, recommending a …
Personalized smart learning recommendation system for arabic users in smart campus
The advancement of technologies has modernized learning within smart campuses and has
emerged new context through communication between mobile devices. Although there is a …
emerged new context through communication between mobile devices. Although there is a …
Digital brick: Enhancing the student experience using blockchain, open badges and recommendations
The main purpose of this work is to describe the process of design and implementation of a
novel e-Learning platform, named Digital Brick, intended to enhance the students' …
novel e-Learning platform, named Digital Brick, intended to enhance the students' …
Relationship between learning styles and learning objects: a systematic literature review
The automation of learning object recommendation and learning styles detection processes
has attracted the interest of many researchers. Some works consider Learning Styles to …
has attracted the interest of many researchers. Some works consider Learning Styles to …