Systematic Reviews and Meta Analysis

Data Mining Studies in Education: Literature Review For The Years 2014-2020

Volume: 17 Number: 33 March 31, 2022
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Data Mining Studies in Education: Literature Review For The Years 2014-2020

Abstract

Data mining is one of the important and beneficial technological developments in education and its usage area is becoming widespread day by day as it includes applications that contribute positively to teaching activities. It is possible to make teaching activities more effective and efficient by transforming the raw data in the field of education into meaningful using data mining techniques. Studies carried out in the field of education between 2014-2020 with data mining methods were scanned from the "Science Direct" database. It was determined that 60 articles from the scanning studies were directly related to data mining in education. The studies include issues such as the development of e-learning systems, pedagogical support, clustering of educational data, and student performance predictions. These selected articles were analyzed in terms of purpose, application area, method, and contribution to the literature. The aim of the study is to group the work carried out in the field of education under specific headings using the data mining process, to evaluate its methods and objectives, and to direct the individuals who will work in this field.

Keywords

References

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Details

Primary Language

English

Subjects

Other Fields of Education

Journal Section

Systematic Reviews and Meta Analysis

Publication Date

March 31, 2022

Submission Date

December 30, 2020

Acceptance Date

April 3, 2021

Published in Issue

Year 2022 Volume: 17 Number: 33

APA
Bilici, Z., & Özdemir, D. (2022). Data Mining Studies in Education: Literature Review For The Years 2014-2020. Bayburt Eğitim Fakültesi Dergisi, 17(33), 342-376. https://doi.org/10.35675/befdergi.849973

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