EJMT Abstract

Data discovery, visualising data and understanding visual representations are important to comprehend a world of large numbers and big datasets. Therefore, applying comprehensive up-to-date methods and considering issues regarding data both small and large are relevant skills for students in order to participate responsibly in the Digital Age. Reviewing various approaches, we outline the current state and recent developments in data discovery and statistics education. Focusing on school curricula and statistical visualization tools, we identify the opportunities for education systems to leverage these technological innovations. In this article, we highlight directions for development and research in this area by offering examples and good practices of current and future concepts to integrate data visualization and Open Data in education from primary through secondary school. Furthermore, considering statistics as a science with multiple facets, we depict approaches to statistics education going beyond conventional single subject boundaries to multi-disciplinary study. Finally, various implications for the teaching and learning of statistics are amplified. In short, the aim of this paper is to define possibilities, opportunities and obligations in statistics education responding to technological advances of the data society.