There is growing interest in how to better prepare K–12 students to work with data. In this
article, we assert that these discussions of teaching and learning must attend to the human …

As the field of K‐12 data science education continues to take form, humanistic approaches
to teaching and learning about data are needed. Data feminism is an approach that draws …

En este estudio analizamos los proyectos estadísticos que proponen futuras maestras de
Educación Infantil cuando quieren abordar la resolución de problemas estadísticos …

Background Data literacy is increasingly important in today's data-driven world. Students
across many educational systems first formally learn about data in elementary school not as …

The goal of this chapter is to draw attention to the need to think about learning environments
and their design as a way of considering how sustainable change in the learning and …

Histograms are widely used and appear easy to understand. Research nevertheless
indicates that students, teachers and researchers often misinterpret these graphical …

This chapter emphasizes few critical aspects of working with data that have emerged from
this body of work. Data are contextualized. George Cobb and David Moore, venerable …

Publicly-available datasets, though useful for education, are often constructed for purposes
that are quite different from students' own. To investigate and model phenomena, then …

The rapidly increasing capacity of technology to collect, organize, and manage data has
spurred changes in the practice of statistics: new methods of collecting data, large data sets …

The world is now facing the most severe health, social, and economic event of the last
hundred years, which has made the need to acquire statistical thinking to interpret the …