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 review of the book You Look Like a Thing and I Love You by Dr. Janelle Shane.
A glossary of Artificial Intelligence terms for educators.
How can we design AI that is safe, equitable, and effective in both assessing and promoting learning?
This post explores AI systems helping students directly and teachers coordinating the learning environment in the context of the AI and Learning Environments Webinar.
This post discusses a webinar designed to help practitioners, AI researchers, and developers share their perspectives on how artificial intelligence can be used in the classroom.
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.
