APPLICATION OF EDUCATINAL DATA MINING FOR PREDICTING OF ACADEMIC SUCCESS

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Published: Mar 30, 2016
Keywords:
интеллектуальный анализ образовательных данных, прогноз успешности обучения, ROC-анализ educational data mining, predicting of academic success, ROC-analysis

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A. OSKIN
Polotsk State University
D. OSKIN
Belarus State Economic University, Minsk

Abstract

The goals and objectives of educational data mining are considered. The results of the first examination session, obtained by cluster analysis carried out in the environment of the system of data mining WEKA, are analysed. Further academic success is predicted on the basis of the acquired results. The quality of the prediction is checked by constructing ROC-curve with the help of AtteStat add-in for MS Excel spreadsheet processor.

Article Details

How to Cite
OSKIN, A., & OSKIN, D. (2016). APPLICATION OF EDUCATINAL DATA MINING FOR PREDICTING OF ACADEMIC SUCCESS. Vestnik of Polotsk State University. Part C. Fundamental Sciences, (4), 8-12. Retrieved from https://journals.psu.by/fundamental/article/view/4187
Issue
No. 4 (2016)
Section
Информационные технологиии
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biography

A. OSKIN, Polotsk State University

канд. техн. наук, доц.

References

Big Data in Education [Электронный ресурс]. – Режим доступа: https://www.coursera.org. – Дата доступа: 12.01.2016.

Romero, C. Data mining in education / C. Romero, S. Ventura // Wiley interdisciplinary reviews. Data mining and knowledge discovery. – 2013. – № 3(1). – P. 12–27.

Оськин, А.Ф. Информационно-образовательная среда поддержки управляемой самостоятельной работы студентов / А.Ф. Оськин // Вышэйшая школа. – 2007. – № 5. – С. 67–72.