Personalisation methods in e‐learning‐A literature review

V Mikić, M Ilić, L Kopanja… - Computer Applications in …, 2022 - Wiley Online Library
Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …

Effects of Exercise Habits and Gender on Sports e-Learning Behavior: Evidence from an Eye-Tracking Study

XF Yuan, YQ Ji, TX Zhang, HB **ang… - … Research and Behavior …, 2024 - Taylor & Francis
Background/Objective In the post-epidemic era, an increasing number of individuals were
accustomed to learning sports and physical activity knowledge online for fitness and health …

AI and big data in education: learning patterns identification and intervention leads to performance enhancement

SJH Yang, CC Lin, AYQ Huang, OHT Lu… - … and Technology in …, 2023 - jstage.jst.go.jp
Improving learning outcomes is always one of the key objectives of learning analytics (LA)
and educational data mining (EDM). In recent years, many Massive Open Online Courses …

[PDF][PDF] Development, Implementation, and Evaluation of a Machine Learning-Based Multi-Factor Adaptive E-Learning System.

A Ezzaim, A Dahbi, A Haidine, A Aqqal - IAENG International Journal of …, 2024 - iaeng.org
Adaptive learning aims to tailor the learning experience, including content, navigation,
presentation, and strategies, based on learners' cognitive and affective factors. However …

Enabling sustainable learning: a machine learning approach for an eco-friendly multi-factor adaptive E-learning system

E Aymane, D Aziz, H Abdelfatteh, A Abdelhak - Procedia Computer Science, 2024 - Elsevier
Adaptive learning seeks to create personalized learning experiences by considering various
cognitive and affective factors. However, conventional adaptive models often fall short in …

The effects of technostress on academic commitment among first-year undergraduate students at an institution of higher education in South Africa

J Mangundu - Proceedings of the 4th African human computer …, 2023 - dl.acm.org
The objective of this study was to examine university students' technostress as it relates to
their academic commitment in South Africa, in accordance with the technostress creators' …

Sequential framework for analyzing mobile click-through decision in online travel agency with user digital footprints

H Gao, D Deng, H Liu, Z Liang - Information Technology & Tourism, 2024 - Springer
In the hotel booking market, high click-through rates are essential for online travel agencies
(OTAs) to earn commissions. Given the dominance of mobile devices in web traffic …

[HTML][HTML] Exploring Engagement, Performance, and Satisfaction in Online Self-Directed Professional Learning Using LMS Logs

J Hu, W **ao - Sustainability, 2024 - mdpi.com
Online self-directed professional learning plays a crucial role in sustainable career
development. This study leverages a high-quality log dataset to thoroughly analyze the …

[PDF][PDF] Profile Analysis of Hourly, Daily, and Weekly Student Access to Online Asynchronous Courses

HP LeBlanc III, A Roy - Journal of Higher Education Theory and …, 2024 - researchgate.net
Recent global events have led to an increase in the delivery of higher education in an
asynchronous online format. These changes have impacted students' ability to schedule …

[PDF][PDF] Smart Village Readiness Using Decision Tree Analysis The Case Of Banyumas Regency Indonesia

A Rokhman, T Tobirin… - Proceedings of the 1st …, 2023 - pdfs.semanticscholar.org
Digital transformation is now inevitable for anyone, individually and organizationally,
including village government organizations. Therefore, the village government must be …