Introducing the Fundamentals of Artificial Intelligence to K-12 Classrooms According to Educational Neuroscience Principles

Abstract

The rise of Artificial Intelligence (AI) has brought to the fore the need to educate students about AI. The aim is not to keep AI a black box and at the same time to be recognized as a transferable literacy with multiple learning benefits per age group of students. In order to strengthen this perspective, the design of workshops to introduce the basics of artificial intelligence to middle school students according to educational neuroscience principles is presented. With these workshops, the importance of AI literacy is emphasized, and students are given space for hands-on activities. The proposals are based on the axes of perception, representation and reasoning, learning, physical interaction, and social impact and include sections on Introduction to Machine Learning, Machine Learning Application Examples, Supervised Learning, and Training-Test Processes, Unsupervised Learning, and Machine Learning Algorithms.