Artificial intelligence curriculum for primary and secondary schools
Machines, like humans, can learn from examples. They use a method called machine learning with a teacher to do this. In simple terms, this means that we don't have to give the machines exact instructions, or if you prefer, a procedure (algorithm). Instead, we show them examples from which they learn to perform different tasks themselves.
45-90 minutes
2. primary school level and multi-year grammar schools
Educator: projection equipment and presentations.
Pupils: Computer, laptop or tablet (but not Android) for each student or group and downloaded pictures of aliens.
Machine learning with a teacher
Machine learning with a tutor (for classification tasks) is a method in which an artificial intelligence program learns to recognize new data based on a prepared dataset.
Goal for the Machine Learning deck of cards: Critically assess the decision making of AI systems.
They train a machine learning model for image recognition.
Data, Information, and Modeling
I-9-1-04 assesses whether the model has all the data needed to solve the problem; locates the error in the model and corrects it
Understanding: Students understand how machine learning with Teachable Machine works and what tasks it can solve.
Application: They use Teachable Machine to annotate and train a model for image recognition.
Analysis: They analyze how the model identifies and classifies images and what attributes are key to decision making.
Information and communication
3-A-II Essence of learning (finding patterns in data)
3-A-III Essence of learning (model training)
3-C-I Datasets (feature sets)