Computers and Education: Artificial Intelligence Journal Publication, Volume 2, 2021, Open access
Conceptualizing AI literacy: An exploratory review
Author Archives: Pati Ruiz
Supporting Computationally Rich Communication During Remote Learning: Lessons Learned
This post was written by a member of the SchoolWide Labs research team, about their experience during the pandemic.
CIRCLS AI & Education Policy Initiative Three: School Policies for Integrating AI in Classroom Practices
During CIRCLS AI and Education Policy working group, we synthesized a set of recommendations to encourage all stakeholders to create better policy for implementing AI in the classroom. Abstract Recent shifts in the delivery of learning experiences have accelerated the importance of emerging technologies in schools and classrooms. The urgency for educators to become familiar […]
CIRCLS AI & Education Policy Initiative Two: Policy brief on federal guidelines for AI in EdTech
During CIRCLS AI and Education Policy working group, we synthesized a set of recommendations to encourage more ethical AI in education technology development. We hope this will spur continuous discussion about policy solutions. Call to Action for Legislators Artificial intelligence is being leveraged by educators to improve, personalize, and individualize learning to increase student achievement. […]
CIRCLS AI & Education Policy Initiative One: AI in EdTech Vendor Pledge
During CIRCLS AI and Education Policy working group, we created an AI in Educational Technology Vendor Pledge to encourage more ethical technology development. Why a Pledge? There’s a continuum of recommendation to pledge to certification to mandate. Organizations on a national and global level have already put work into developing recommendations for ethical AI, both […]
Melissa Rasberry
Melissa Rasberry is the Director of Professional Learning and Leading at the Friday Institute.
Broadening Perspectives on Broadening Participation in STEM Toolkit
A toolkit to support science engagement professionals who are developing strategic efforts to broaden participation in STEM
Learning with and from Artificial Intelligence-Driven Analytics
How can we design AI that is safe, equitable, and effective in both assessing and promoting learning?
Podcast series: Fairness and Equity in AI for Education
This is a limited podcast series with five interviews with researchers in the fields of artificial intelligence, learning analytics, ethics and student privacy.
