Research on Measurement and Evaluation of Mathematical Data Analysis Literacy

Abstract

By measuring and evaluating the mathematical data analysis literacy of high school students, the obtained results can provide an important reference and basis for high school mathematics teachers to develop students' mathematical data analysis literacy. However, there is a dearth of research on how to measure mathematical data analysis literacy of high school students. In order to give a scientific and reasonable assessment scheme, this paper takes the General High School Mathematics Curriculum Standards (Revised 2020, 2017 Edition) as the basis and core of assessment, and discusses and interprets the three levels and four dimensions of data analysis literacy by means of theoretical thinking, which can be measured by means of paper-and-pencil tests. On this basis, the use of assessment methods, the setting of test questions, the selection of scorers, and the determination of evaluation results are analyzed in turn. For high school students with a low level of data analysis literacy, teachers can guide students to master the basics of probability statistics and experience the whole process of data analysis. This study can provide a reference for further exploration of mathematical data analysis literacy in the future.