Educational data mining and learning analytics for 21st century higher education: A review and synthesis
The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …
outcomes has been realized in higher education. Hence, a comprehensive review of …
Data mining in education
Applying data mining (DM) in education is an emerging interdisciplinary research field also
known as educational data mining (EDM). It is concerned with developing methods for …
known as educational data mining (EDM). It is concerned with developing methods for …
Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies
B Cope, M Kalantzis, D Searsmith - Educational philosophy and …, 2021 - Taylor & Francis
Over the past ten years, we have worked in a collaboration between educators and
computer scientists at the University of Illinois to imagine futures for education in the context …
computer scientists at the University of Illinois to imagine futures for education in the context …
Educational data mining: Predictive analysis of academic performance of public school students in the capital of Brazil
In this article, we present a predictive analysis of the academic performance of students in
public schools of the Federal District of Brazil during the school terms of 2015 and 2016 …
public schools of the Federal District of Brazil during the school terms of 2015 and 2016 …
Data mining for modeling students' performance: A tutoring action plan to prevent academic dropout
C Burgos, ML Campanario, D de la Peña… - Computers & Electrical …, 2018 - Elsevier
E-learning systems generate huge amounts of data, whose analysis may become a
daunting task which makes it necessary to use computational analytical techniques and …
daunting task which makes it necessary to use computational analytical techniques and …
Educational data mining: a review of the state of the art
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …
with the development of methods to explore data originating in an educational context. EDM …
Prediction of students' early dropout based on their interaction logs in online learning environment
AA Mubarak, H Cao, W Zhang - Interactive Learning Environments, 2022 - Taylor & Francis
Online learning has become more popular in higher education since it adds convenience
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
Student-performulator: Predicting students' academic performance at secondary and intermediate level using machine learning
S Hussain, MQ Khan - Annals of data science, 2023 - Springer
Forecasting academic performance of student has been a substantial research inquest in
the Educational Data-Mining that utilizes Machine-learning (ML) procedures to probe the …
the Educational Data-Mining that utilizes Machine-learning (ML) procedures to probe the …
How ready is higher education for quality 4.0 transformation according to the LNS research framework?
The world is evolving, and it has transformed from the industrial age to the era of connected
and intelligent products in both organizations and competition. The advances in technology …
and intelligent products in both organizations and competition. The advances in technology …
Developing early warning systems to predict students' online learning performance
An early warning system can help to identify at-risk students, or predict student learning
performance by analyzing learning portfolios recorded in a learning management system …
performance by analyzing learning portfolios recorded in a learning management system …