Future of Statistics Education for Realizing Modeling with Systemic-evolutional Perspective

Abstract

　　 STEM (Science, Technology, Engineering, and Mathematics) education has become famous all over the world, and statistics education also has to play its role in this education. The purpose of this paper is to provide suggestions for the future of statistics education in STEM using realizing modeling with Wittmann’s systemic-evolutional perspective.

　　 In order to achieve this purpose, I analyzed previous literature in terms of systemic-evolutional perspective. Two points emerged from previous mathematical modeling: (1) a model is refined by the repetition of modeling cycle, (2) all phases of modeling cycle are expressed in the form of “○○ in the problem solving process”. In this paper, I discussed the characteristic of modeling with systemic-evolutional perspective. The educational object of modeling is the problem posing process. In statistics education, this is constructing assumption of problem solving process aiming for common agreement with others.

　　 Based on the above-mentioned results, I suggested a backward emergent modeling from model-for to model-of. This is an effective way of considering the problem posing process at the unit level, and verifying assumption of problem solving process through the MEA’s problem solving process at the class level. Finally, I proposed a new paradigm of problem posing in which students inquire and refine the methodology to pose problems by themselves within phenomena involving the complex system.