Prospective Teachers’ Criteria for Evaluating Mathematical Modeling Problems

Seda Sahin, Muhammed Fatih Dogan, Zeynep Cavus Erdem, Ramazan Gurbuz, Ali Temurtas

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Abstract


This study examined the criteria used by prospective mathematics teachers in determining whether a problem was a mathematical modeling problem. Two data collection tools were used in this case study. The first was a written evaluation form which consists of four problems developed by 27 prospective teachers individually that enrolled in a Mathematical Modeling course. Among them, only one was a mathematical modeling problem and the others were traditional problems with some features of mathematical modeling problems. The other data collection tool was a semi-structured interview form which was used in the interviews with 12 prospective teachers. The data were analyzed using open and axial coding. The findings showed that pre-service teachers had some incorrect or incomplete information about mathematical modeling. The criteria used by teacher candidates were grouped under three categories: content characteristics, formal characteristics and outcome-based characteristics of the problems. The most common criteria used by the prospective teachers in evaluating the problems was the suitability of real life, being complex or thought-provoking and being interesting. In addition, it was determined that teacher candidates did not adopt standard criteria and that some of the criteria were shaped according to the problems.

Keywords


Mathematical modeling, Mathematical modeling criteria, Mathematics teacher candidates

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References


Sahin, S., Dogan, M.F., Cavus Erdem, Z., Gurbuz, R., & Temurtas, A. (2019). Prospective teachers’ criteria for evaluating mathematical modeling problems. International Journal of Research in Education and Science (IJRES), 5(2), 730-743.


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Copyright (c) 2019 International Journal of Research in Education and Science

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International Journal of Research in Education and Science (IJRES)
 
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

ISSN: 2148-9955 (Online)