In this Community Report, we explore how such partnerships have enabled research projects to
This post is a good primer on large language models. It explains how they
This paper explores educational interactions involving humans and artificial intelligences not as sequences of
The paper presents Composable Diffusion (CoDi), a novel generative model capable of generating any
Data science is emerging fast and a single definition of it has not yet
A reading list compiled by Educator CIRCLS.
This paper was presented at the 1999 Annual Meeting of the American Educational Research
This paper reviews traditional assessments and presents artificial intelligence approaches that might address current
Edited by: Michael Chang This reading list provides an overview of conjecture mapping, a
Universal Design for Learning (UDL) is a research-based framework intended to guide the design
The Learning Sciences is a field of scientific research that developed in the 1980s,
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
Community members with expertise shared information and examples with participants who wanted to learn
A glossary of AI and emerging technology terms last updated October 11, 2021.
Gallery Walk posters from CIRCLS’21: Remake “Broadening” in Research on Emerging Technologies for Teaching
Ben Shneiderman discusses "Responsible AI," a Viewpoint column in the August 2021 CACM.
This presentation describes the shift from individual to social and contextual learning and provides
Recruitment is a key challenge for researchers conducting any large school-based study. Random assignment
A reading list compiled by CIRCLS’ AI and Education Policy Expertise Exchange, which convened
In the following reading list, you’ll find popular science and academic articles that provide
Check these videos out and share your thoughts in the STEM for ALL Video
Watch the recordings of the three Educators, AI, and the Future of Learning Webinars.
These videos, first presented at annual, STEM for All Video Showcase events, highlight the
In recent years, facial recognition technologies (FRTs) have experienced enormous growth and rapid deployment.
This report describes the current state of the art in artificial intelligence (AI) and
An interdisciplinary list of publications that reflects the richness of the CIRCLS members’ interests
Neural Information Processing Society (NEURIPS) hosted a workshop to explore how advances in machine
CIRCLS features relevant primers found in the literature. We welcome new primers on similar
February 10, 2021 at 4PM ET
This paper describes the impact of the degrees of realism (unrealistic, moderately realistic and
This primer presents background on Facial Recognition Technologies (FRTs) and is written for a
Learning sciences research investigates the process of learning in realistic settings. Explore the reading
Epistemic Cognition is thinking about what and how we know, including the ways in
When students learn how to use evidence-based reasoning to build knowledge that is convincing
Download the report (PDF)AI and the Future of Learning View Nov. 16, 2020 Webinar
The Multiplex is an online, free, interactive platform featuring over 800 short videos that
Practicing Connections: A Framework to Guide Instructional Design for Developing Understanding in Complex Domains
Research suggests that expert understanding is characterized by coherent mental representations featuring a high
Download the report: Emerging Directions from the Workshop Leaders Summit (PDF) White papers on
Download the Report (PDF) Visit the Report Website Overview This report reflects on progress
Cyberlearning Community Report: The State of Cyberlearning and the Future of Learning With Technology
Download the Report (PDF) Read the Executive Summary Watch the STEM Showcase Video Authors
Artificial intelligence (AI) is a trend that is currently leading to controversial discussions.
Data-driven predictive models are increasingly used in education to support students, instructors, and administrators.
The emergence of big data in educational contexts has led to new data-driven approaches
Encourage Self-regulated Learning in the Classroom by Sharon Zumbrunn, Joseph Tadlock, and Elizabeth Danielle