PROCEEDINGS OF THE 21ST ANNUAL CONFERENCE ON RESEARCH IN UNDERGRADUATE MATHEMATICS EDUCATION
2018
San Diego, California
Assessing the Development of Students’ Mathematical Modeling Competencies: An Information Entropy Approach
Page: 1613
We suggest a new scaling tool for converting big amounts of qualitative data into quantitative data based on the recent developments in the information theory. We believe that it can be used with reasonable efficiency to monitor the development of students’ mathematical competencies, and not only. Discussing advantages and shortcomings of this tool along with the possibilities for further development, we invite to discussion of a new approach.