A reading list compiled by Educator CIRCLS.
Reading List: Machine Learning and Artificial Intelligence in Education – A Critical Perspective

A reading list compiled by Educator CIRCLS.
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 […]
A reading list compiled by CIRCLS’ AI and Education Policy Expertise Exchange, which convened from March-June, 2021.
In the following reading list, you’ll find popular science and academic articles that provide overviews of Brain Computer Interfaces (BCI) for education.
An interdisciplinary list of publications that reflects the richness of the CIRCLS members’ interests and contributions to literature.
Learning sciences research investigates the process of learning in realistic settings. Explore the reading list.
Epistemic Cognition is thinking about what and how we know, including the ways in which we acquire knowledge, justify, adapt, and use it. Explore the reading list.