Teaching students to critically evaluate AI, not just use it.
Five computer science pathways, built from the standards up, and the audit tooling that verifies them. This is the work behind the writing.
The writing
I write about AI literacy in computer science education at willbumgardner.substack.com — what I am building, what I got wrong, and what the research actually says. The portfolio below is the evidence behind it.
Computer Science Curriculum Suite
Advanced Computer Science I
A comprehensive 17-unit introduction to computer science utilizing p5.js, Karel programming, and data science principles. Engineered to align with the Nevada Department of Education state standards.
Web Development & Design I
Focused on semantic HTML5, CSS layout engines, responsive web systems, client-side scripting, and accessibility standards. Evaluated for state pathways (FBLA integrations).
Digital Game Design I
Introduction to game design mechanics, rendering loops, and sprite-based interaction. Focuses on 2D physics, vector movements, asset pipeline integration, and object-oriented structure.
Digital Game Design II
Advanced 3D production pipeline (Blender → Unity 6) and programming, designed as a one-year bridge to satisfy missing L2 standards from the prior CodeHS sequence. This course was never scheduled and no student took it. It is published here as a design artifact only, and its standards are not counted in any coverage figure. A full DGD II is being built for 2027–28.
Computer Education Technology
Foundational technology integration, digital citizenship, software productivity systems, information literacy, and educational computing scaffolds tailored for instructional leadership.