Abstract

The aim of the present study was to examine the mathematical modelling studies done between 2004 and 2015 in Turkey and to reveal their tendencies. Forty nine studies were selected using purposeful sampling based on the term, “mathematical modelling” with Higher Education Academic Search Engine. They were analyzed with content analysis. Publication Classification Form (PCF) was used as data collection tool. The studies were evaluated based on publication year, research model, sampling method, sampling size, sampling group, data collection tools, number of data analyses methods and subject areas. Descriptive statistical calculations like frequency and percentages were used for data analysis and the findings are shown in tables. From the findings of this study, the followings were observed: the studies are generally qualitative research model, purposeful sampling method is prominently used as a data collection tool, university students were taken more in the sampling, the sampling size ranged from 1 to 30 and data analysis method was preferred more. Besides, “the effect of modelling method on modelling ability” variable is the area mostly treated in the subjects studied. In this research, applying mostly quantitative and combined research methods in mathematical modelling and using other student groups apart from university students as sample group in these studies are suggested. Key words: Model, modelling, mathematical modelling, mathematical modelling process.

Highlights

  • To raise a generation that can access, interpret, process and use knowledge is the most important target of the education programs of any country because of its political, economic, and education benefits

  • This study provides a content analysis of the mathematical modelling studies, which are thesis and articles, obtained from Higher Education Institution (YÖK) academic database in Turkey

  • The studies on mathematical modeling are evaluated based on publication year, research model, sampling method, sampling size, sampling group, data collection tools, distribution of studies by number of data analysis methods and distribution of studies by subject areas

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Summary

Introduction

To raise a generation that can access, interpret, process and use knowledge is the most important target of the education programs of any country because of its political, economic, and education benefits. For this purpose, educational institutions try to make individuals active in education by making them to understand and process knowledge.

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