An Educational Data Mining Application by Using Multiple Intelligences

Introduction

Data mining has been used in different areas such as Marketing, Banking, Insurance, Telecommunication, Health, Industry, Internet, Science and Engineering, and provided significant improvements in these areas. Recently, one of these areas is the educational environment. Educational data mining (EDM) literature has shown that it can represent new and significant contributions to educational research. Recently, various data mining methods have been implemented to different educational environment such as traditional, e-learning, computer-based learning etc. In this context, this study aimed to illustrate both uses of data mining methods and to present a study that implemented data mining methods in traditional education. By using data mining techniques, Aksoy, Narli, and Aksoy (2018) aimed to examine mathematically gifted students in terms of their learning styles, multiple intelligences, personality types, genders and grade levels in order to help teachers and educators to determine potential gifted students. Educational data mining literature and a short review of the characteristics included in the study will be described in next sections.