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 …
A systematic review on educational data mining
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 …
enrolment and attendance records, as well as their examination results. Mining such data …
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 …
Detecting and preventing fraud with data analytics
A Bănărescu - Procedia economics and finance, 2015 - Elsevier
Although fraud is not a new issue, the current financial crisis has enlightened that fraud
occurs mainly during a recession, as compared with normal periods of economic growth. In …
occurs mainly during a recession, as compared with normal periods of economic growth. In …
Performance analysis and prediction in educational data mining: A research travelogue
In this era of computerization, education has also revamped itself and is not limited to old
lecture method. The regular quest is on to find out new ways to make it more effective and …
lecture method. The regular quest is on to find out new ways to make it more effective and …
Classifiers for educational data mining
W Hämäläinen, M Vinni - … Data Mining, Chapman & Hall/CRC …, 2011 - api.taylorfrancis.com
The idea of classification is to place an object into one class or category, based on its other
characteristics. In education, teachers and instructors are always classifying their students …
characteristics. In education, teachers and instructors are always classifying their students …
Using Neural Network and Logistic Regression Analysis to Predict Prospective Mathematics Teachers' Academic Success upon Entering Graduate Education.
E Bahadir - Educational Sciences: Theory and Practice, 2016 - ERIC
The ability to predict the success of students when they enter a graduate program is critical
for educational institutions because it allows them to develop strategic programs that will …
for educational institutions because it allows them to develop strategic programs that will …
Predicting NDUM student's academic performance using data mining techniques
The ability to predict the students' academic performance is very important in institution
educational system. Recently some researchers have been proposed data mining …
educational system. Recently some researchers have been proposed data mining …
Analysis of educational data mining
This research paper aims to compare the performance of various clustering and
classification algorithms which are applied on the same educational dataset. Educational …
classification algorithms which are applied on the same educational dataset. Educational …