The Relationship between Students’ Performance on Conventional Standardized Mathematics Assessments and Complex Mathematical Modeling Problems

Authors

  • Ozgul Kartal Saint Xavier University
  • Beyza Aksu Dunya University of Illinois at Chicago
  • Heidi A. Diefes-Dux Purdue University
  • Judith S. Zawojewski Illinois Institute of Technology

Keywords:

Mathematical modeling, Model eliciting activities, STEM careers, Modeling capabilities

Abstract

Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling—specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical modeling. Therefore, a major question is whether a conventional standardized test can serve as a reliable predictor of students’ potential to mathematical modeling performance. To investigate this question, a study was designed to find the relation between students’ conventional standardized measures of mathematics achievement and their performance on mathematical modeling problems. Students’ (N=1656) SAT (Scholastic Aptitude Test) mathematics scores were used as a conventional standardized measure of achievement and students’ scores on two model-creation problems based on complex settings were used to capture mathematical modeling performance to answer the question whether standardized achievement tests function well in predicting their mathematical modeling performance.

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Published

2016-01-01

Issue

Vol. 2 No. 1 (2016)

Section

Articles

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