This post was written by Rowland Wells, a member of the EDUCATE Ventures Research team. The purpose of the blog is to help open the door between the worlds of research and practice a bit wider so that we can see the differing perspectives and start a dialogue.
Envisioning Artificial Intelligence solutions to help teachers support students with individualized education plans.
Return to Educator CIRCLS. by Courtney Teague, Rita Fennelly-Atkinson, and Jillian Doggett Courtney Teague, EdD, Deputy Director of Internal Professional Learning and Coaching with Verizon Innovative Learning Schools program based in Atlanta, GA. Rita Fennelly-Atkinson,EdD, Director Micro-credentials with the Pathways and Credentials team based in Austin, TX Jillian Doggett M.Ed, Project Director of Community Networks […]
A teacher gives us a closer look of what it’s like to review an artificial intelligence tool for use in the classroom and give feedback to a developer about it.
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.
Educator CIRCLS Blog Emerging Tech Advisory Group Framework: Emerging Tech Adoption We are pleased to announce the Educator CIRCLS Emerging Technology Advisory Group for PK-12. The advisory group is studying existing research in partnership with members of the CIRCLS community, to create practical policy recommendations. These recommendations will be designed to help school and district […]
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.
This post was written by a member of the SchoolWide Labs research team, about their experience during the pandemic.
How can we design AI that is safe, equitable, and effective in both assessing and promoting learning?
