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 …

Learning Styles and Teaching Styles Determine Students' Academic Performances.

NDS Chetty, L Handayani, NA Sahabudin, Z Ali… - International Journal of …, 2019 - ERIC
Individuals learn in different ways using several learning styles, but lecturers may not always
share material and learning experiences that match students' learning preferences …

Inovasi Perguruan Tinggi Raharja Dalam Era Disruptif Menggunakan Metodologi iLearning

U Rahardja, N Lutfiani, AD Lestari… - Jurnal Ilmiah …, 2019 - jurnal.stmikasia.ac.id
Perkembangan teknologi yang sedemikian pesat berdampak lahirnya era disruptif yaitu
teori inovasi yang dicetuskan oleh newcumbent yang keberadaannya megancam …

[PDF][PDF] Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences.

K Abhirami, MK Devi - Computer Systems Science & …, 2022 - cdn.techscience.cn
With the advent of computing and communication technologies, it has become possible for a
learner to expand his or her knowledge irrespective of the place and time. Web-based …

[PDF][PDF] Evolution of learning environment: A review of ubiquitous learning paradigm characteristics

ZM Tahir, H Haron, JKG Singh - Indonesian Journal of Electrical …, 2018 - researchgate.net
This paper performed literature analysis for evolution of learning environment focusing on
anew learning paradigm which is known as ubiquitous learning environment. This paper …

Data mining of students' behavior in E-learning system

OM Gushchina, AV Ochepovsky - Journal of Physics: Conference …, 2020 - iopscience.iop.org
The article deals with educational data mining techniques aimed at increasing effectiveness
of E-learning process as well as the idea of adaptive feedback, individual assessment and …

[PDF][PDF] I-ONAr: A rule-based machine learning approach for intelligent assessment in an online learning environment

SB bin Rodzman, NA Bakar… - Indonesian Journal …, 2020 - pdfs.semanticscholar.org
Intelligent systems are created to automate decision making process that is similar to human
intelligence. Incorporating intelligent component has achieved promising results in many …

[PDF][PDF] Improving e-learning by integrating a metacognitive agent

H Elbasri, A Haddi, H Allali - International Journal of Electrical and …, 2018 - academia.edu
The major disadvantage of the current Learning Management Systems is the lack of learner
assistance in their learning processes and, therefore, they can not replace the presence of …

[HTML][HTML] The impact of virtual learning on Multimedia University student performance: A cross-sectional study

TH Toong, L Liyen, LY Ping - F1000Research, 2021 - ncbi.nlm.nih.gov
Background: The Covid-19 pandemic has imposed adaption to virtual learning for students
and educators across all levels of education in the world. The effectiveness of virtual …

Learning Styles and On-Line Learning Analytics: An Analysis of Student Behaviour Based on the Honey and Mumford Model

M Lang - International Conference on Human-Computer …, 2023 - Springer
This paper presents an analysis of student behaviour on a Learning Management System
(LMS), as observed by means of learning analytics, and compares this against expected …