Learning Analytics: A Comparison of Western, Educated, Industrialized, Rich, and Democratic (WEIRD) and Non-WEIRD Research.
We examined how Learning Analytics literature represents participants from diverse
societies by comparing the studies published with samples from WEIRD (Western …
societies by comparing the studies published with samples from WEIRD (Western …
Dropout prediction in Moocs using deep learning and machine learning
The nature of teaching and learning has evolved over the years, especially as technology
has evolved. Innovative application of educational analytics has gained momentum. Indeed …
has evolved. Innovative application of educational analytics has gained momentum. Indeed …
Bibliometric insights into data mining in education research: A decade in review
YSN Rao, CJ Chen - Contemporary Educational Technology, 2024 - cedtech.net
This bibliometric study on data mining in education synonymous with big educational data
utilizes VOSviewer and Harzing's Publish and Perish to analyze the metadata of 1,439 …
utilizes VOSviewer and Harzing's Publish and Perish to analyze the metadata of 1,439 …
Advanced incremental erasable pattern mining from the time-sensitive data stream
Pattern mining has been actively advanced and studied in order to process data that is
generated in real time, called incremental data. Erasable pattern mining is a concept that …
generated in real time, called incremental data. Erasable pattern mining is a concept that …
Evaluating student knowledge assessment using machine learning techniques
N Alruwais, M Zakariah - Sustainability, 2023 - mdpi.com
The process of learning about a student's knowledge and comprehension of a particular
subject is referred to as student knowledge assessment. It helps to identify areas where …
subject is referred to as student knowledge assessment. It helps to identify areas where …
Uncovering the educational data mining landscape and future perspective: A comprehensive analysis
Educational data mining (EDM) enables improving educational systems by using data
mining techniques on educational data to analyze students' learning processes to extract …
mining techniques on educational data to analyze students' learning processes to extract …
A bibliometric analysis of Educational Data Mining studies in global perspective
Abstract Educational Data Mining (EDM) is an interdisciplinary field that encapsulates
different fields such as computer science, education, and statistics. It is crucial to make data …
different fields such as computer science, education, and statistics. It is crucial to make data …
Early detection of student degree-level academic performance using educational data mining
Higher educational institutes generate massive amounts of student data. This data needs to
be explored in depth to better understand various facets of student learning behavior. The …
be explored in depth to better understand various facets of student learning behavior. The …
Predicting university student graduation using academic performance and machine learning: a systematic literature review
Predicting university student graduation is a beneficial tool for both students and institutions.
With the help of this predictive capacity, students may make well-informed decisions about …
With the help of this predictive capacity, students may make well-informed decisions about …
Studying engagement in educational settings: a map** review on high-impact academic engagement research
P Loyola-Carrillo, A Vega-Muñoz… - Frontiers in …, 2025 - frontiersin.org
Introduction Academic engagement provides opportunities and resources for students to
engage in socio-educational interactions and learning. Our study provides an overview of …
engage in socio-educational interactions and learning. Our study provides an overview of …