This post shares five big ideas from the learning sciences in relation to the design of AI systems: Representation and Supports; Collaboration; How Students Think; Building on Students’ Cultural and Linguistic Assets; Assessment and Feedback.
A Critical AI reading list focused on education and efforts to promote equity in the field.
Artificial Intelligence (AI) systems are becoming more prevalent everywhere, including in education spaces. Educators may sometimes wonder, “What is AI?” and, “What can AI do?” Let’s address these questions and then discuss why and how YOU should be involved!
A glossary of Artificial Intelligence terms for educators.
At educator CIRCLS we are having conversation around AI in Education, central to these are thes design justice principles described in this post.
There are several advantages to understanding how AI-enabled systems arrive at specific outputs. Read this post to learn more.
Our reflections on the film Coded Bias which highlights the work being done by organizations, data scientists, and activists.
Reflections on the Educators, Artificial Intelligence, and the Future of Learning: Teacher Support Webinar.