Teaching Python

Computational Thinking 2.0

October 6th, 2024
By Kelly Paredes
adaptive thinking, ai literacy, algorithmic thinking, coding skills, computational thinking, computer science education, ct 1.0, ct 2.0, data analysis, data-driven models, digital literacy, education, foundational programming, future-ready skills, k-12 education, machine learning, modern computing, probabilistic thinking, problem-solving, python programming, student learning, technology integration

Recently, we had the opportunity to speak with John Chapin, who is actively teaching CT 2.0 and developing a course around it. His work is focused on moving from traditional CT 1.0 approaches—centered on rule-based programming—to embracing the more dynamic, data-driven skills of CT 2.0. This shift is critical as we look to prepare students for a future where machine learning, AI, and understanding uncertainty in data play a central role.