[HTML][HTML] Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)

N Sghir, A Adadi, M Lahmer - Education and information technologies, 2023 - Springer
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

[PDF][PDF] Application of machine learning methods to predict student performance: a systematic literature review

AA Enughwure, ME Ogbise - Int. Res. J. Eng. Technol, 2020 - academia.edu
In recent times, the need for the application of machine learning in the educational frontier
has become crucial. Most educational administrators and researchers are using various …

[PDF][PDF] Predict students' academic performance based on their assessment grades and online activity data

A Alhassan, B Zafar, A Mueen - International Journal of Advanced …, 2020 - researchgate.net
The ability to predict students' academic performance is critical for any educational institution
that aims to improve their students' learning process and achievement. Although students' …

Evaluations in the moodle-mediated music teaching-learning environment

MJ Espigares-Pinazo, JM Bautista-Vallejo… - Technology, Knowledge …, 2022 - Springer
This study presents the use of automated data analysis procedures in the teaching-learning
process, mediated by telematics platforms. It is based on the application of the principles of …

Predicting students final academic performance using feature selection approaches

GS Ramaswami, T Susnjak… - 2020 IEEE Asia-Pacific …, 2020 - ieeexplore.ieee.org
Data analytics and data mining techniques are increasingly being used to assist managers,
business leaders, and policymakers in their decision-making. These techniques help them …

[HTML][HTML] An application of Bayesian inference to examine student retention and attrition in the STEM classroom

R Bertolini, SJ Finch, RH Nehm - Frontiers in Education, 2023 - frontiersin.org
Introduction As artificial intelligence (AI) technology becomes more widespread in the
classroom environment, educators have relied on data-driven machine learning (ML) …

Analysis of Special Children Education Using Data Mining Approach

R Dhanalakshmi, B Muthukumar… - International Journal of …, 2022 - World Scientific
Data mining is a method that gives valuable information where we can improve and achieve
the goal. Existing data mining techniques are applied in education for analyzing the …

An intelligence learner management system using learning analytics and machine learning

S Islam, H Mahmud - Proceedings of the 12th International Conference …, 2020 - dl.acm.org
Learner Management System (LMS) facilitates educational institutions to offer e-learning
through web-based applications. LMS provides many benefits from cost saving to flexible …

Predicting user dropout from their online learning behavior

P Shayan, M van Zaanen, M Atzmueller - International Conference on …, 2022 - Springer
The Covid-19 pandemic, which required more people to work and learn remotely,
emphasized the benefits of online learning. However, these online learning environments …

How Can LMS Affect Student's Motivation and Engagement?

R Ferreira, E Cardoso, J Oliveira - Digital Technologies and …, 2023 - Springer
Technology has revolutionized the education system. Many tools such as Learning
Management Systems (LMS) were developed to enhance the learning process. With this …