An Educational Data Mining Application by Using Multiple Intelligences

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Author(s): Esra Aksoy (Dokuz Eylül University, Turkey), Serkan Narli (Dokuz Eylül University, Turkey)and Mehmet Akif Aksoy (Dokuz Eylül University, Turkey)
Copyright: 2020
Pages: 18
Source title: Examining Multiple Intelligences and Digital Technologies for Enhanced Learning Opportunities
Source Author(s)/Editor(s): Robert Z. Zheng (University of Utah, USA)
DOI: 10.4018/978-1-7998-0249-5.ch005

Keywords: Education / Educational Technologies / Information Science Reference

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Abstract

The aim of this chapter is to illustrate both uses of data mining methods and the way of these methods can be applied in education by using students' multiple intelligences. Data mining is a data analysis methodology that has been successfully used in different areas including the educational domain. In this context, in this study, an application of EDM will be illustrated by using multiple intelligence and some other variables (e.g., learning styles and personality types). The decision tree model was implemented using students' learning styles, multiple intelligences, and personality types to identify gifted students. The sample size was 735 middle school students. The constructed decision tree model with 70% validity revealed that examination of mathematically gifted students using data mining techniques may be possible if specific characteristics are included.

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