Ten Challenges and Explainable Analogs of growth functions and distributions for statistical literacy and fluency

Abstract

Personalized learning, science education, and public understanding of science are linked in many ways. Studies of public understanding of science suggest that citizen science literacy is not just about reforming school science curricula. Understanding statistics is a challenge for many people, and customized learning methods are required. Statistics are useful for keeping records, calculating probabilities, and providing knowledge. Basically, they help us understand the world a little better through numbers and other quantitative information. Motivated by the overall goal of promoting understanding of statistical concepts and minimizing misinformation, thirteen gamification and data physicalization initiatives help us to offer ten challenges. They allow players to record, update, and explore the characteristics and differences between different statistical concepts. This work combines dynamic physical visualization and gamification to explain linear and exponential functions and a set of distributions using analog explicable cubes as a means of representation.