Integrating Machine Learning in Secondary Geometry

Despite the importance of artificial intelligence in our daily lives, it has yet to be integrated into K-12 classrooms in a meaningful way. This article explores a lesson in which geometry students use Euclidean distance to implement a functional machine learning algorithm in Google Sheets™. The assignment requires students to apply the distance formula to a machine learning context, break a data set into parts to establish relationships among its components, synthesize the analysis to implement an algorithm in Google Sheets, and use test data to evaluate the systems' accuracy.