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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 …
A review on predicting student's performance using data mining techniques
Predicting students performance becomes more challenging due to the large volume of data
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …
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 …
The effect of the normalization method used in different sample sizes on the success of artificial neural network model
In this study, it was aimed to compare different normalization methods employed in model
develo** process via artificial neural networks with different sample sizes. As part of …
develo** process via artificial neural networks with different sample sizes. As part of …
Data mining: Prediction for performance improvement of graduate students using classification
K Bunkar, UK Singh, B Pandya… - 2012 Ninth International …, 2012 - ieeexplore.ieee.org
Student performance in university courses is of great concern to the higher education where
several factors may affect the performance. This paper is an attempt to apply the data mining …
several factors may affect the performance. This paper is an attempt to apply the data mining …
[HTML][HTML] Enhancing educational evaluation through predictive student assessment modeling
This study evaluates several machine learning models used in predicting student
performance. The data utilized in this study was collected from 253 undergraduate students …
performance. The data utilized in this study was collected from 253 undergraduate students …
[PDF][PDF] The prediction of students' academic performance using classification data mining techniques
Data Mining provides powerful techniques for various fields including education. The
research in the educational field is rapidly increasing due to the massive amount of students' …
research in the educational field is rapidly increasing due to the massive amount of students' …
Application of learning analytics using clustering data Mining for Students' disposition analysis
Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to
improve learning and education. It draws from, and is closely tied to, a series of other fields …
improve learning and education. It draws from, and is closely tied to, a series of other fields …
[PDF][PDF] Comparison of predicting student's performance using machine learning algorithms
Predicting the student performance is playing vital role in educational sector so that the
analysis of student's status helps to improve for better performance. Applying data mining …
analysis of student's status helps to improve for better performance. Applying data mining …
[PDF][PDF] Clustering algorithms applied in educational data mining
Fifty years ago there were just a handful of universities across the globe that could provide
for specialized educational courses. Today Universities are generating not only graduates …
for specialized educational courses. Today Universities are generating not only graduates …