Predicting student performance in a blended learning environment using learning management system interaction data

K Fahd, SJ Miah, K Ahmed - Applied Computing and Informatics, 2021 - emerald.com
Purpose Student attritions in tertiary educational institutes may play a significant role to
achieve core values leading towards strategic mission and financial well-being. Analysis of …

“I am still learning”: Modeling LMS critical success factors for promoting students' experience and satisfaction in a blended learning environment

S Ghazal, H Al-Samarraie, H Aldowah - Ieee Access, 2018 - ieeexplore.ieee.org
Blended learning has been growing in demand and popularity and has become a common
phenomenon in modern higher education systems, especially with the implementation of …

Critical factors to learning management system acceptance and satisfaction in a blended learning environment

S Ghazal, H Aldowah, I Umar - … of the 2nd International Conference of …, 2018 - Springer
The main objective of this study is to provide a comprehensive examination of the crucial
factors that effect students' acceptance (perceived usefulness and perceived ease of use) as …

Key factors to instructors' satisfaction of learning management systems in blended learning

KA Al-Busaidi, H Al-Shihi - Journal of Computing in Higher Education, 2012 - Springer
Abstract Learning Management System (LMS) enables institutions to administer their
educational resources, and support their traditional classroom education and distance …

Machine learning based classification approach for predicting students performance in blended learning

CG Nespereira, E Elhariri, N El-Bendary… - The 1st International …, 2016 - Springer
Nowadays, recognizing and predicting students learning achievement introduces a
significant challenge, especially in blended learning environments, where online (web …

A multivariate approach to predicting student outcomes in web-enabled blended learning courses

NZ Zacharis - The Internet and Higher Education, 2015 - Elsevier
This study aimed to develop a practical model for predicting students at risk of performing
poorly in blended learning courses. Previous research suggests that analyzing usage data …

Analysis of online behavior and prediction of learning performance in blended learning environments

IH Jo, Y Park, J Kim, J Song - Educational Technology International, 2014 - koreascience.kr
A variety of studies to predict students' performance have been conducted since educational
data such as web-log files traced from Learning Management System (LMS) are …

Predicting students success in blended learning—evaluating different interactions inside learning management systems

LA Buschetto Macarini, C Cechinel… - Applied Sciences, 2019 - mdpi.com
Algorithms and programming are some of the most challenging topics faced by students
during undergraduate programs. Dropout and failure rates in courses involving such topics …

[PDF][PDF] Predicting student performance from their behavior in learning management systems

P Shayan, M van Zaanen - International Journal of Information …, 2019 - researchgate.net
Technology (ICT) provides an opportunity to discover new knowledge and create a
desirable learning environment. That is why the influence of ICT on education is irrefutable …

Towards an enhanced learning management system for blended learning in higher education incorporating distinct learners' profiles

SB Dias, JA Diniz - Journal of Educational Technology & Society, 2014 - JSTOR
In a blended education context, Learning Management Systems (LMS) can be thought to
integrate collaborative and interactive learning activities; this, however, requires a strong …