EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE

Enes Filiz; Ersoy Öz

EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE

Abstract

Educational data mining (EDM) is an important research area which has an ability of analyzing and modeling educational data. Obtained outputs from EDM help researchers and education planners understand and revise the systematic problems of current educational strategies. This study deals with an important international study, namely Trends International Mathematics and Science Study (TIMSS). EDM methods are applied to last released TIMSS 2015 8th grade Turkish students' data. The study has mainly twofold: to find best performer algorithm(s) for classifying students’ mathematic success and to extract important features on success. The most appropriate algorithm is found as logistic regression and also support vector machines - polynomial kernel and support vector machines - Pearson VII function-based universal kernel give similar performances with logistic regression. Different feature selection methods are used in order to extract the most effective features in classification among all features in the original dataset. “Home Educational Resources”, “Student Confident in Mathematics” and “Mathematics Achievement Too Low for Estimation” are found the most important features in all feature selection methods.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Enes Filiz This is me
0000-0002-8006-9467
Türkiye

Ersoy Öz This is me
0000-0001-9087-434X
Türkiye

Publication Date

June 1, 2021

Submission Date

January 17, 2020

Acceptance Date

May 7, 2020

Published in Issue

Year 2020 Volume: 38 Number: 2

IZ

https://izlik.org/JA78EM85ZK

Cite

RIS / Bibtex

APA

Filiz, E., & Öz, E. (2021). EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE. Sigma Journal of Engineering and Natural Sciences, 38(2), 963-977. https://izlik.org/JA78EM85ZK

AMA

1.Filiz E, Öz E. EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE. SIGMA. 2021;38(2):963-977. https://izlik.org/JA78EM85ZK

Chicago

Filiz, Enes, and Ersoy Öz. 2021. “EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE”. Sigma Journal of Engineering and Natural Sciences 38 (2): 963-77. https://izlik.org/JA78EM85ZK.

EndNote

Filiz E, Öz E (June 1, 2021) EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE. Sigma Journal of Engineering and Natural Sciences 38 2 963–977.

IEEE

[1]E. Filiz and E. Öz, “EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE”, SIGMA, vol. 38, no. 2, pp. 963–977, June 2021, [Online]. Available: https://izlik.org/JA78EM85ZK

ISNAD

Filiz, Enes - Öz, Ersoy. “EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE”. Sigma Journal of Engineering and Natural Sciences 38/2 (June 1, 2021): 963-977. https://izlik.org/JA78EM85ZK.

JAMA

1.Filiz E, Öz E. EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE. SIGMA. 2021;38:963–977.

MLA

Filiz, Enes, and Ersoy Öz. “EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE”. Sigma Journal of Engineering and Natural Sciences, vol. 38, no. 2, June 2021, pp. 963-77, https://izlik.org/JA78EM85ZK.

Vancouver

1.Enes Filiz, Ersoy Öz. EDUCATIONAL DATA MINING METHODS FOR TIMSS 2015 MATHEMATICS SUCCESS: TURKEY CASE. SIGMA [Internet]. 2021 Jun. 1;38(2):963-77. Available from: https://izlik.org/JA78EM85ZK