Artificial Intelligence Curriculum for Primary and Secondary Schools
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”.
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.
Children aged 8-11, 45—90 minutes.
Teacher: Printed worksheet, presentation for projection.
Students: Writing tools as needed.
Data, cloud.
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.
Based on their knowledge of the types of data and how to share it, they operate age-appropriate digital devices.
They name the types of data and explain the concept of cloud in their own words.
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
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.
3-C-II Datasets (Large datasets).
3-A-II Nature of Learning (Finding patterns in data).