Making Sense of Models (home page) This is a landing page for all 6th grade Making Sense of Models (MSM) units.
Developing a framework for computational thinking from a disciplinary perspective (2018) Proceedings of the International Conference on Computational Thinking Education 2018. Hong Kong: The Education University of Hong Kong.
Computational Thinking for Youth in Action (2011) This is an early paper of Computational Thinking that has a lot of traction. It's where we first describe the Use-Modify-Create trajectory.
Application of the Occupational Analysis of Computational Thinking-Enabled STEM Professionals as a Program Assessment Tool (2012) Journal of Computational Science Education (2012)
Making Sense of Models one page description This is a document that describes the Making Sense of Models project.
Investigating Fairness in Machine Learning Applications This is a mini-AI curriculum developed for a CSTA conference workshop.
Neural Network Game This is a presentation / activity presented at AAAI/AI4k12 2019 on teaching about neural networks through a participatory simulation.
CSTA-Compiled Resources to Support Teaching During COVID-19 Compiled a list of resources to help CS teachers support their students remotely.
Teacher Guide for Hosting Synchronous Online Learning Sessions A guide of practical tips and procedures for running effective live online learning sessions (aka Synchronous Online Learning).
Trailblazers Activity for Virtual Instruction The Trailblazers activity from Module 1 - Lesson 3 modified to be done in a synchronous virtual learning environment.
Dice and Data Activity for Virtual Instruction Dice and Data Activity from Module 1 Lesson 4. Adapted for use in a synchronous instructional setting.
Experimental Design for Virtual Instruction A Google Sheet to use for conducting the Experimental Design activity in a remote learning classroom.c
Project GUTS on Canvas Commons Canvas Commons courses - Project GUTS PD course - Project GUTS Module 1 - Student Edition
What's Represented? These exercises ask the learner to identify abstractions in the computer model as compared to a diagram or image of a natural phenomenon.
