As teachers, we need to allow projects to play out as they will, adjusting as we go and making sure to really examine the data before we make a judgment on the success of what has transpired. As ...

Specifically, we use an integrated approach to algebra that draws on real-world data to the extent possible. To this end, learners will gain experience in selecting and developing a number of data ...

In contrast, skills requiring human interaction and coordination will grow in importance and likely command higher salaries, ...

Developing data literacy skills requires practice and repeated exposure to different datasets and analytical methodologies. Although initiatives to increase practical experience in data analysis and ...

Despite these efforts, programs in data science at the K-12 level remain few and far between. In a recent analysis of state programs, only nine states earned an “A” or “B” grade for the teaching of ...

Yet, despite its ubiquity, our schools haven’t embraced teaching data analysis to children. Why is this essential skill—arguably as important as reading and arithmetic—not a core part of the ...

A tutorial on teaching data analytics with generative AI Learn the benefits and consequences of teaching a data analysis class that layers ChatGPT into the course.

In today’s data-driven world, there’s a significant gap between the growing reliance on data and professionals’ ability to leverage it effectively. Knowing how to use data to guide decision-making and ...