A systematic review on educational data mining

A Dutt, MA Ismail, T Herawan - Ieee Access, 2017 - ieeexplore.ieee.org
Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …

Social network analysis in e-learning environments: A preliminary systematic review

KL Cela, MÁ Sicilia, S Sánchez - Educational psychology review, 2015 - Springer
E-learning occupies an increasingly prominent place in education. It provides the learner
with a rich virtual network where he or she can exchange ideas and information and create …

Analítica visual en e-learning

DA Gómez-Aguilar… - Profesional de …, 2014 - revista.profesionaldelainformacion …
Las tecnologías utilizadas en los procesos de aprendizaje implican el registro de todas las
actividades realizadas. Estos datos se pueden aprovechar para la evaluación de …

Application of learning analytics using clustering data Mining for Students' disposition analysis

S Bharara, S Sabitha, A Bansal - Education and Information Technologies, 2018 - Springer
Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to
improve learning and education. It draws from, and is closely tied to, a series of other fields …

Integration of data mining clustering approach in the personalized E-learning system

S Kausar, X Huahu, I Hussain, Z Wenhao… - IEEE access, 2018 - ieeexplore.ieee.org
Educational data-mining is an evolving discipline that focuses on the improvement of self-
learning and adaptive methods. It is used for finding hidden patterns or intrinsic structures of …

Detecting communities using social network analysis in online learning environments: Systematic literature review

S Yassine, S Kadry, MA Sicilia - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Uncovering community structure has made a significant advancement in explaining,
analyzing, and forecasting behaviors and dynamics of networks related to different fields in …

Recommendations-based on semantic analysis of social networks in learning environments

A Khaled, S Ouchani, C Chohra - Computers in Human Behavior, 2019 - Elsevier
The expansion of social utilization within web applications provides a set of social media
that allows users to contribute freely and interact with each other. Consequently, E-learning …

[HTML][HTML] Understanding the stumbling blocks of Italian higher education system: A process mining approach

C Diamantini, L Genga, A Mircoli, D Potena… - Expert Systems with …, 2024 - Elsevier
Nowadays universities strive to continuously enhance their educational programs to improve
both the quality and quantity of their graduates. This is a sensitive problem, especially for …

Social learning network analysis model to identify learning patterns using ontology clustering techniques and meaningful learning

ABF Mansur, N Yusof - Computers & Education, 2013 - Elsevier
Clustering on Social Learning Network still not explored widely, especially when the network
focuses on e-learning system. Any conventional methods are not really suitable for the e …

Exploring the utility of social-network-derived collaborative opportunity temperature readings for informing design and research of large-group immersive learning …

A Mallavarapu, L Lyons, S Uzzo - Journal of learning analytics, 2022 - par.nsf.gov
Large-group (n> 8) co-located collaboration has not been adequately studied because it
demands different conceptual framings than those used to study small-group collaboration …