Prompt: New maths materials for teaching children data science
Share your notes/comments here.
Highlights from the inperson discussion:

Yesterday there was a discussion about whether we really want students generating data sets: it’s great to turn this skepticism into a RQ!

How do you operationalise the word “meaningful”? The word may be too broad.

The first question is two questions in one (principles and methods are different things; you perhaps grasp principles and apply methods — perhaps split into two?)
Context
Databased inferences are prevalent in everyone’s lives, and thus students should be able to infer any such data in an appropriate manner.
Purpose
Teach students to analyse and interpret data and identify fallacies in claims.
Inputs
 6th to 8th grade students.
 Basic data sets such as charts in newspapers, cricket stats, etc.
 Teachers with knowledge equivalent to 10th grade.
Constraints/Barriers
 Possible lack of basic mathematical knowledge with students.
 Lack of data interesting enough to engage middlegrade students.
 Limited availability of passionate and trained teachers.
Activities
 Ask students to create set of realworld data examples relatable to general student life such as household management, weather prediction, sports analysis, board games, etc and analyse the same.
 Present data visualisations and explain features of the same.
 Have students in pairs of groups present good and bad inferences using the same data sets of two sport players.
Outputs
 Data sets generated by students from realworld examples.
 Exercises related to these datasets.
Effects/Outcomes
 Students should be able to understand, inspect and critique mediumsized data.
 Students should be able to identify fallacies in data visualisations and claims.