Artificial intelligence curriculum for primary and secondary schools
AI in Informatics at Secondary and Secondary School
Reinforced learning
Card 04 from the Machine Learning deck
Reinforced learning
Reinforcement learning is a method by which a program learns to make correct decisions by trial and error. It tries different strategies and finds out which of them yields the best result. In the lesson, students first work with a decision tree and then train the program to play the Hexapawn game.
Information about lessons
Subsidies
45 minutes
Vintages or preconceptions
2. primary school level and multi-year grammar schools
Aids
Teacher: Projection equipment, presentation.
Students: Computer, laptop or tablet (but not with Android OS) for each student or group, worksheets.
Building stones
Reinforced learning
What pupils learn
Reinforcement learning is a type of machine learning where machines learn by trial and error.
Why is it taught
They develop analytical thinking skills and understanding of decision-making processes in games.
How do we know if they've learned
It will explain how computers can use machine learning algorithms to adjust their strategies.
Outputs of the RVP
Information Systems
I-9-3-04 will test the record itself and will then evaluate its functionality or suggest modifications.
Bloom's taxonomy
Understanding: Students understand the decision-making processes of a machine learning algorithm in a simple game.
Application: Students apply their understanding of the algorithm to play a simple game.
Analysis: They analyze a game strategy.
Digital competences
Information and communication
Five Big Ideas
3-A-VI learning from experience
