The use of technological tools enrich experiences of the teaching and learning of Data analytics in schools, but which tools would be useful? Of course, it depends on the contexts, levels of contents, and so on. For example, R is a powerful tool to explore data, but its interface might not be so intuitive for some students? Amongst many, personally, I am interested in using CODAP.

CODAP is “a free web-based data tool designed as a platform for developers and as an application for students in grades 6–14” according to its website.

I think the exploration of the following data set would be a good starting point.

https://codap.concord.org/releases/latest/static/dg/en/cert/index.html?url=https://concord-consortium.github.io/codap-data/SampleDocs/Science/Biology/24cats/24cats.codap

What can we explore in the above? One might be a decision making (about cats in this case :)).

Decision making is one of the important aspects in data analytics, and this is now termed as informal statistical inference (Makar and Rubin, 2009). In particular, informal statistical inference defined as “decision-making in relation to a statistical question for a population based on evidence from a sample and acknowledging a degree of uncertainty in that decision” (Watson and English, 2018, p. 36) can become a foundation of formal/advanced statistical inference.

In particular, like Tinkerpltos it is possible for us to separate data into ‘male’ and ‘female’, and this makes data more accessible and visual, hopefully supporting students in their decision-making process? This kind of process is what I really want to see in the pilot studies in classrooms which hopefully will start in September 2018…

Reference

Makar, K., & Rubin, A. (2009). A framework for thinking about informal statistical inference. Statistics Education Research Journal, 8(1), 82–105

Watson, J. and English, L. (2018). Eye color and the practice of statistics in Grade 6: Comparing two groups, Journal of Mathematical Behavior, 49, 35-60.