Integration of learning analytics into learner management system using machine learning

S Islam, H Mahmud - Proceedings of the 2020 2nd International …, 2020 - dl.acm.org
The demand of e-learning is constantly increasing at a rapid rate for the educational
institutions. Web-based Learning Management System (LMS) is one of the main …

One aggregated approach in multidisciplinary based modeling to predict further students' education

M Ranđelović, A Aleksić, R Radovanović, V Stojanović… - Mathematics, 2022 - mdpi.com
In this paper, one multidisciplinary-applicable aggregated model has been proposed and
verified. This model uses traditional techniques, on the one hand, and algorithms of machine …

Learning enhancement with AI: From idea to implementation

L Huraj, J Pospíchal… - 2023 21st International …, 2023 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) into the learning environment represents a
fundamental change in the transformation of educational practices. In the context of this …

Intelligent Student Relationship Management Platform with Machine Learning for Student Empowerment

S Issaro, P Wannapiroon - International Journal of Emerging …, 2023 - learntechlib.org
Students' grades can affect their future studies at university. The COVID-19 situation has
resulted in a greater amount of online teaching, in which teachers and learners rarely …

[PDF][PDF] Supervised learning using support vector machine applied to sentiment analysis of teacher performance satisfaction

O Chamorro-Atalaya, D Arce-Santillan… - Indonesian Journal of …, 2022 - academia.edu
Satisfaction with teaching performance is an important measurement process in higher
education institutions, for this reason, applying sentiment analysis to the opinions of …

An Empirical Study-The Cardinal Factors towards Recruitment of Faculty in Higher Educational Institutions using Machine Learning

S Arora, R Kawatra, M Agarwal - 2021 8th international …, 2021 - ieeexplore.ieee.org
Teaching Job Performance is one of the salient and sensitive issues when it is associated
with the recruitment and deployment of faculty for Higher Education Institutions. Recruiting …

Análisis bibliométrico sobre Learning Analytics en Latinoamérica

DGE Guanuche, MAC Molina… - Dominio de las …, 2020 - dialnet.unirioja.es
El presente artículo revela la producción científica sobre las Analíticas de Aprendizaje
(Learning Analytics en inglés–LA) en Latinoamérica (LATAM). Teniendo como objetivo …

Implementation of E-Learning Technology in Encouraging Independent and Flexible Learning

D Dumiyati, L Husnita, R Nazmi… - At-Tasyrih: jurnal …, 2024 - ejournal.iainbatanghari.ac.id
Technology has developed significantly over time. The development of this technology
cannot be stopped or hindered because it is a demand for the needs of human life which are …

[PDF][PDF] A Hybrid Weight based Feature Selection Algorithm for Predicting Students' Academic Advancement by Employing Data Science Approaches

UJ Ujwal, S Malik - International Journal of Education and …, 2023 - mecs-press.org
PerformanceX is a proposed system that combines Educational Data Mining (EDM)
techniques to enhance student performance and reduce dropout rates. It employs a hybrid …

[PDF][PDF] Machine learning model through ensemble bagged trees in predictive analysis of university teaching performance

O Chamorro-Atalaya, C Chávez-Herrera… - International Journal of …, 2021 - academia.edu
The objective of this study is to analyze and discuss the metrics of the Machine Learning
model through the Ensemble Bagged Trees algorithm, which will be applied to data on …