Universal Design for Learning (UDL) is a research-based framework intended to guide the design of learning technologies that are accessible and effective for all students, including those who are struggling academically and those with special needs.
The Learning Sciences is a field of scientific research that developed in the 1980s, from influences which include cognitive science, computer science, information processing psychology, child development, anthropology, and linguistics.
Computers and Education: Artificial Intelligence Journal Publication, Volume 2, 2021, Open access
This is a limited podcast series with five interviews with researchers in the fields of artificial intelligence, learning analytics, ethics and student privacy.
A glossary of AI and emerging technology terms last updated October 11, 2021.
Ben Shneiderman discusses “Responsible AI,” a Viewpoint column in the August 2021 CACM.
Recruitment is a key challenge for researchers conducting any large school-based study. Random assignment studies, however, can pose greater challenges than others because of the degree of control that researchers often require.
In recent years, facial recognition technologies (FRTs) have experienced enormous growth and rapid deployment. Addressing the trade-offs among the risks and benefits of complex facial recognition technologies requires the creation of a new federal office.
This report describes the current state of the art in artificial intelligence (AI) and its potential impact for learning, teaching, and education.
CIRCLS features relevant primers found in the literature. We welcome new primers on similar topics, but written more specifically to address the needs of the RETTL community. Have a primer to recommend? Contact CIRCLS. Download PDF Title: Artificial Intelligence in Education: Promises and Implications for Teaching and learning Authors: Holmes, Wayne; Bialik, Maya; Fadel, Charles Abstract […]