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 …
Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
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 …
Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining …
Building a student performance prediction model that is both practical and understandable
for users is a challenging task fraught with confounding factors to collect and measure. Most …
for users is a challenging task fraught with confounding factors to collect and measure. Most …
[PDF][PDF] Educational Data Mining and Learning Analytics: differences, similarities, and time evolution
LC Liñán, ÁAJ Pérez - RUSC …, 2015 - educationaltechnologyjournal …
Technological progress in recent decades has enabled people to learn in different ways.
Universities now have more educational models to choose from, ie, b-learning and e …
Universities now have more educational models to choose from, ie, b-learning and e …
Data mining approach for predicting student performance
E Osmanbegovic, M Suljic - Economic Review: Journal of Economics …, 2012 - econstor.eu
Although data mining has been successfully implemented in the business world for some
time now, its use in higher education is still relatively new, ie its use is intended for …
time now, its use in higher education is still relatively new, ie its use is intended for …
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 …
SmartGPA: how smartphones can assess and predict academic performance of college students
Many cognitive, behavioral, and environmental factors impact student learning during
college. The SmartGPA study uses passive sensing data and self-reports from students' …
college. The SmartGPA study uses passive sensing data and self-reports from students' …
[PDF][PDF] Data mining algorithms to classify students
In this paper we compare different data mining methods and techniques for classifying
students based on their Moodle usage data and the final marks obtained in their respective …
students based on their Moodle usage data and the final marks obtained in their respective …