Paul Donatelli on how small things can make significant improvements

In this episode, Allan and Chad are joined by Paul Donatelli, computer science educator from Canton City Schools. Paul details his unique experience transitioning from the field of engineering into education. His journey as a teacher includes both public and private schools, as well as work at the university level. The conversation goes deep into his science-based approach to skill mastery and motivation. We explore how he applies principles from behavioral economics and cognitive load theory to optimize learning, and combat barriers like expectancy cost. In addition, we tackle the massive shift of generative AI and its specific impact on computer science and learning to code. Find out how making small, intentional decisions can lead to a significant impact in student outcomes.

Music: The Right Direction by Shane Ivers - https://www.silvermansound.com