Funded by Erasmus+, Project DIG4Future - Digital competencies, Inclusion and Growth for Future generations 2020-1-IT-EPPKA3-IPI-SOC-IN
The European Commission support for the production of this publication does not constitute an endorsement of the contents which reflects the view only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein
Schița subiectului
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Description
The second module introduces how Artificial Intelligence works, focusing on explaining concepts such as algorithms and machine learning.
In addition, the module covers how AI systems are trained and behave, and introduces educators to basic concepts of programming such as if-else statements.
Thanks to the class activities, with instructional videos and practical activities, the trained teachers will be able to introduce students to the programming environment and to transfer them basic computational skills and concepts, being able to orchestrate the use of digital resources in teaching and learning AI technology.
4 hours
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Topic 1: Algorithms and machine learning steps
Learn how machine learning algorithms work by acting out the algorithm physically without the use of a computer. Then students will bring the acquired notions in practice working with a software for training basic image recognition models. 
120 min.
Image recognition with “pen&paper”
Teachable machine with Google
Testing an AI image generator
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Topic 2:Facial recognition and basic programming concepts
This topic covers some practical exercises on the use of Scratch programming language for using some basic AI algorithms for facial recognition. 
120 min.
Facial recognition with Scratch Lab
Using conditionals in Scratch Lab
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Dosar
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