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: 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 …
Predicting student performance from LMS data: A comparison of 17 blended courses using Moodle LMS
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot
of data has become available describing students' online behavior. Many researchers have …
of data has become available describing students' online behavior. Many researchers have …
The state of educational data mining in 2009: A review and future visions
RSJD Baker, K Yacef - Journal of …, 2009 - jedm.educationaldatamining.org
We review the history and current trends in the field of Educational Data Mining (EDM). We
consider the methodological profile of research in the early years of EDM, compared to in …
consider the methodological profile of research in the early years of EDM, compared to in …
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 …
Systematic ensemble model selection approach for educational data mining
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …
performance in order to support their development. Many institutions are focused on …
Predicting dropout student: an application of data mining methods in an online education program
This study examined the prediction of dropouts through data mining approaches in an online
program. The subject of the study was selected from a total of 189 students who registered to …
program. The subject of the study was selected from a total of 189 students who registered to …
Predicting students drop out: A case study
GW Dekker, M Pechenizkiy… - Proceedings of the 2nd …, 2009 - research.tue.nl
The monitoring and support of university freshmen is considered very important at many
educational institutions. In this paper we describe the results of the educational data mining …
educational institutions. In this paper we describe the results of the educational data mining …
[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 …
Web usage mining for predicting final marks of students that use Moodle courses
This paper shows how web usage mining can be applied in e‐learning systems in order to
predict the marks that university students will obtain in the final exam of a course. We have …
predict the marks that university students will obtain in the final exam of a course. We have …