Roxanne Moore shares more on her newly funded NSF RETTL project, Exploring Artificial Intelligence-enhanced Electronic Design Process Logs: Empowering High School Engineering Teachers (#2119135).
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.
Addie Shrodes, Dylan Paré
Joe Curnow, Suraj Uttamchandani
Melissa Tehee and Breanne K. Litts at Utah State University, and Rogelio E. Cardona-Rivera at the University of Utah share more on their most recent NSF-funded RETTL project, Transformative Computational Models of Narrative to Support Teaching Indigenous Perspectives in K-12 Classrooms (#2119573).
This paper reviews traditional assessments and presents artificial intelligence approaches that might address current issues and/or present additional challenges.
Edited by: Michael Chang This reading list provides an overview of conjecture mapping, a tool proposed by Sandoval (2014) initially designed for learning scientists to systematically approach design-based research. The list includes introductory materials to conjecture maps and provides examples about how other learning scientists have used, adapted, and interpreted conjecture maps in their own […]
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.
Claire Christensen, Senior Education Researcher at SRI International, shares more on her most recent NSF-funded project, EAGER: Technology to Review Online Videos for Education (TROVE) (#2139219).
