Data – Patterns & Play
L1: Computational Thinking & Data
Collecting, managing and analysing data
data collection: properties, sources and collection of data: numerical, categorical and textual facts measured, collected or calculated
numeric – quantitative; continuous eg money, measurements; discrete – can only be counted in whole numbers eg 2 kittens
categorical – qualitative; nominal -can’t be ordered eg eye colour; ordinal – deck of cards, something that can be ranked or graded.
databases – collect and store data, eg library catalogue, spreadsheets
L2: Representations of Data
data representation: symbolism and separation
many different ways to represent data, depends on the audience and the purpose, may be digital or not, numerical, text, pictorial
3: Pattern Recognition
data interpretation: patterns and contexts
finding similarities – allows creation of shortcuts within problem solving
medical imaging, fingerprinting
collect, identify and explore patterns in data
what kinds of representations are most useful? what new questions are provoked by seeing the data arranged in a new way?
4: Example Activity – Family Members
activity where students create visual representations of their families
5: Example Activity – Measuring Height
collect data, represent the data (eg string, numbers, paddlepop sticks) then organise and display as charts, tables, stand in height order…
6: Task 2: Patterns & Play