Artificial Intelligence Curriculum for Primary and Secondary Schools

AI in Computer Science in Elementary Schools

Robots with Their Heads in the Clouds

Data & Cloud
Lesson 04

Data & Cloud

Hoo and Ray sometimes stare into the clouds, and suddenly see lots of unexpected things they can learn from. We humans call them data. The data can take the form of images, texts, videos, audio, or even 3D objects. Often, this data is stored in what we call “the cloud”.

Lesson Overview

The lesson begins with a story about robots Hoo and Ray, who connect to the cloud and suddenly gain access to a huge amount of data. The children reflect on what data is, where it’s stored, and in what form it can exist. The teacher leads a discussion about different types of data, such as texts, images, videos, sounds, or 3D objects. Students imagine what data describing various things around them might look like. In the practical activity, children work with words that have multiple meanings, and for each meaning they create a “data portfolio” containing a text description, image, features, and sounds. They discuss how data can be diverse and how robots and AI work with it. The lesson ends with a summary and reflection, helping students understand the importance of the cloud and how vital data is for machine learning and human decision-making.

Lesson Overview

Recommended Age, Lesson Length

Children aged 8-11, 45—90 minutes.

Tools

Teacher: Printed worksheet, presentation for projection.
Students: Writing tools as needed.

Building Blocks

Data, cloud.

What Are the Students Learning?

The cloud is a place on the internet where we can store things like pictures, videos and documents instead of just having them on our computer or phone.

Why Are They Learning This?

Based on their knowledge of the types of data and how to share it, they operate age-appropriate digital devices.

How Do We Know They Have Learned It?

They name the types of data and explain the concept of cloud in their own words.

Digital Competence

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

Bloom's Taxonomy

Understanding: Students explain the concept of the cloud and describe different types of data, demonstrating their understanding of key concepts related to data.
Applying: Students practically apply their knowledge of data by collecting and creating examples in two formats based on selected words.
Analyzing: Students analyze different types of data linked to selected words in order to identify their characteristics and relationships.

Five Big Ideas

3-C-II Datasets (Large datasets).
3-A-II Nature of Learning (Finding patterns in data).

Teaching Material

Version: 06
Number of recorded pilot tests: 03
Last update: 01/25

Created by: Bára Karpíšková
Concept: Eva Nečasová
Expert guarantors: Cyril Brom, Zbyněk Filipi, Tomáš Mlynář, Pavel Kordík
Artistic design: Jindra Janíček