WeTeach_CS Summit 2026

When will I ever use this? Perceived relevance is a major problem for functions in high school Algebra, and the push for Data Science as an alternative to Algebra has only made this worse. This session introduces a new approach being used in CA and MI, in which students model relationships in relevant, engaging data as an introduction to linear, quadratic, exponential, logarithmic, and periodic functions. Think "parabola of best fit"...then extend it to every other function in Algebra 1 and 2! We'll explore student outcomes from the pilot and share free resources for use in your classroom.

Join Code/Art in a fun, hands-on exploration of algorithmic art that celebrates student brilliance through creativity, identity, and problem-solving. Inspired by visual artist Beverly Acha, participants will experience a processing.js creative coding lesson designed for teachers with little or no coding background, including art educators. Learn how using artists’ work as inspiration empowers students to see themselves as capable creators in computer science. View a gallery of algorithmic art created by girls across grade levels and explore how blending art and technology broadens participation, especially for girls, while honoring diverse ways students demonstrate brilliance.

Artificial Intelligence and Machine Learning are already shaping how students learn across content areas. This hands-on session focuses on best practices for integrating AI/ML concepts into computer science and other classrooms, emphasizing computational thinking, ethical use, and student understanding over the use of tools alone. Participants will explore how machine learning systems are trained, identify sources of bias, and experience classroom-ready strategies that connect CS concepts to real-world applications in core subjects. Attendees will leave with practical frameworks, activities, and resources to confidently integrate AI across disciplines.