10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
Contributed paper list

Contributed Paper C262


Statistically deep learning based on the investigative cycle of a sixth-grade elementary school student


Mitsuru Matsushima (Japan)


This paper considers what kind of competency is enhanced in a PPDAC cycle for sixth-graders. PPDAC (Wild and Pfannkuch, 1999) is a statistical research process that became the new mode of statistical thinking on the revision course of study in Japan in March 2017. By analyzing lessons in statistical analysis, I explored sixth-graders’ competencies to compare two data sets using average value, and to discuss other analysis features as well, including spread of data, mode, and maximum and minimum values. Students also compared reasoning based on data with reasoning not based on data. Further, they recognized the importance of reasoning based on data.