A Mental Leap: Impact of Teaching the Math Behind Machine Learning Techniques in K-12

Abstract

The subject of artificial intelligence is slowly integrated into K-12 curricula, while the question of what, when and how to teach it are still not sufficiently answered. This thesis sets out to explore the how to teach, by investigating how teaching technical details of various machine learning methods advances learning objectives and promotes students’ AI competencies. To this end, educational materials fit for purpose are developed and refined and a study aiming to map ML methods to learning objectives will be conducted.