Artificial intelligence curriculum for primary and secondary schools

AI in Informatics at Secondary and Secondary School

Big Data

Card 01 from the Data pack

Big Data Interpretation

The aim of the introductory activity of the Data Pack is to make students aware that big data contains information about people's behaviour in everyday life and can be used to interpret our past behaviour or make predictions about future behaviour based on analysis (e.g. visualisation using graphs).

Information about lessons

Subsidies

45-90 minutes

Vintages or preconceptions

2. primary school level and multi-year grammar schools

Aids

Educator: projection equipment, slides to show
Students: digital devices in groups or pairs

Building stones

Big Data, Big Data

What pupils learn

Big data can be a tool for understanding phenomena.

Why is it taught

They develop critical thinking and the ability to analyze and interpret complex phenomena.

How do we know if they've learned

They analyze and interpret patterns in Internet users' shopping behaviors.

Outputs of the RVP

Computer Science:
Data, Information, Modeling:
I-9-1-01 obtains information from data, interprets data, detects errors in others' interpretations of data

Bloom's taxonomy

Comprehension: students compare and interpret graphical representations based on big data.
Analysis: students analyze visualizations of big data.

Digital competences

 Information and communication: acquires, retrieves, critically assesses, manages and shares data, information and digital content, choosing processes, methods and means to do so that are appropriate to the specific situation and purpose

Five Big Ideas

3-A-II Essence of Learning (finding patterns in data)

Methodological material

Version: 04
Number of pilots: 04
Last update: 01/25

Author: Radek Špáta
Methodological consultant: Eva Nečasová
Expert guarantors: Tomáš Mlynář, Ondra Michalák, Pavel Kordík
Language proofreading: Marcela Wimmerová