This activity covers essential concepts of machine learning at the introductory level, focusing specifically on the classification task. It aims to inspire the future generation of innovators to harness the potential of Machine Learning (AA) and Artificial Intelligence (AI), as well as understand its advantages and limitations through simple but interesting case studies.

Material and resources required

For the successful completion of this activity, curious and collaborative students who will work in groups/pairs are required. The classroom must be equipped with LCD, internet connection, shared computers with microphone and webcam.

Learning space

Classroom

Activity description

This is a group/peer work activity and can be divided into several steps:

· Make a brief presentation on AI and AA, as well as its real-world applications.

· Familiarize students with their technical vocabulary.

· Discuss the role that artificial intelligence plays in our lives.

· Train and test a machine learning model.

· That's why "human prejudice" plays a role in machine learning.

Age group

10-12 years

Expected duration

2 lessons (100 min.)

Coding and computational thinking

Machine Learning; Artificial Intelligence; Artificial Neuronal Networks.

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