Statistical Literacy Process of Prospective Mathematics Teachers: A Case Study of Pisa Model Problems

Abstract

This study explained the use of the statistical literacy process for prospective mathematics teachers in solving PISA model problems. The applied approach was a qualitative descriptive approach The researchers grouped the subjects into low, moderate, and high ability categories based on the previous academic test results. Then, the researchers collected the data from statistical literacy skill tests and interviews. The researchers analyzed the data by reducing, presenting, and drawing conclusions. In this research, the statistical literacy processes consisted of data orientation, data process, data interpretation, and data evaluation. The results showed that moderate and high categories students could focus on math problems. The evidence was the students understood the given information. The middle and high-category students had excellent statistical literacy processes. However, the high-category students could explain the statistical literacy process systematically and carefully. The high-category students could demonstrate their writing, implementing, and interpreting strategies of the obtained answers.