Partnerships for Change: Transforming Research on Emergent Learning Technologies

In this Community Report, we explore how such partnerships have enabled research projects to
Large language models, explained with a minimum of math and jargon

This post is a good primer on large language models. It explains how they
Towards social generative AI for education: theory, practices and ethics

This paper explores educational interactions involving humans and artificial intelligences not as sequences of
Any-to-Any Generation via Composable Diffusion

The paper presents Composable Diffusion (CoDi), a novel generative model capable of generating any
Reading List: Machine Learning and Artificial Intelligence in Education – A Critical Perspective

A reading list compiled by Educator CIRCLS.
Determining Capacity within Systemic Educational Reform

This paper was presented at the 1999 Annual Meeting of the American Educational Research
Assessment in the age of artificial intelligence

This paper reviews traditional assessments and presents artificial intelligence approaches that might address current
Reading List: Conjecture Mapping

Edited by: Michael Chang This reading list provides an overview of conjecture mapping, a
CIRCL Center: Understanding Universal Design for Learning Primer

Universal Design for Learning (UDL) is a research-based framework intended to guide the design
CIRCL Center: Learning Sciences Primer

The Learning Sciences is a field of scientific research that developed in the 1980s,
Conceptualizing AI literacy: An exploratory review

Computers and Education: Artificial Intelligence Journal Publication, Volume 2, 2021, Open access
Podcast series: Fairness and Equity in AI for Education

This is a limited podcast series with five interviews with researchers in the fields
CIRCLS’21: Expertise Connection Videos

Community members with expertise shared information and examples with participants who wanted to learn
The Brookings Glossary of AI and Emerging Technologies

A glossary of AI and emerging technology terms last updated October 11, 2021.
CIRCLS’21: Gallery Walk

Gallery Walk posters from CIRCLS’21: Remake “Broadening” in Research on Emerging Technologies for Teaching
Responsible AI: Bridging From Ethics to Practice

Ben Shneiderman discusses "Responsible AI," a Viewpoint column in the August 2021 CACM.
Intelligence Augmentation for Collaborative Learning

This presentation describes the shift from individual to social and contextual learning and provides
Recruiting Participants for Large-Scale Random Assignment Experiments in School Settings

Recruitment is a key challenge for researchers conducting any large school-based study. Random assignment
Reading List: AI and Education Policy

A reading list compiled by CIRCLS’ AI and Education Policy Expertise Exchange, which convened
Reading List: Brain Computer Interfaces for Education

In the following reading list, you’ll find popular science and academic articles that provide
CIRCLS Videos at the 2021 STEM for ALL Video Showcase

Check these videos out and share your thoughts in the STEM for ALL Video
Educators, Artificial Intelligence, and the Future of Learning Series Videos

Watch the recordings of the three Educators, AI, and the Future of Learning Webinars.
STEM for ALL Multiplex Videos – Ambitious Mashups of Technology and Learning – 2020 Playlist

These videos, first presented at annual, STEM for All Video Showcase events, highlight the
Facial Recognition Technologies in the Wild: A Call for a Federal Office

In recent years, facial recognition technologies (FRTs) have experienced enormous growth and rapid deployment.
The Impact of Artificial Intelligence on Learning, Teaching, and Education

This report describes the current state of the art in artificial intelligence (AI) and
Journals: What We’re Reading and Where We’re Publishing

An interdisciplinary list of publications that reflects the richness of the CIRCLS members’ interests
Machine Learning for Education Videos

Neural Information Processing Society (NEURIPS) hosted a workshop to explore how advances in machine
Artificial Intelligence in Education: Promises and Implications for Teaching and learning

CIRCLS features relevant primers found in the literature. We welcome new primers on similar
The Pedagogical Agent in Online Learning

This paper describes the impact of the degrees of realism (unrealistic, moderately realistic and
Facial Recognition Technologies: A Primer

This primer presents background on Facial Recognition Technologies (FRTs) and is written for a
Reading List: Open Access Readings on the Learning Sciences

Learning sciences research investigates the process of learning in realistic settings. Explore the reading
Reading List: Epistemic Cognition

Epistemic Cognition is thinking about what and how we know, including the ways in
Educating Critical Thinkers: The Role of Epistemic Cognition

When students learn how to use evidence-based reasoning to build knowledge that is convincing
AI and the Future of Learning: Expert Panel Report

Download the report (PDF)AI and the Future of Learning View Nov. 16, 2020 Webinar
STEM Multiplex for All, Ambitious Mashups Highlights

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
Cyberlearning Workshop Reports: Principles for the Design of Digital STEM Learning Environments

Download the report: Emerging Directions from the Workshop Leaders Summit (PDF) White papers on
Ambitious Mashups: Reflections on a Decade of Cyberlearning Research

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
A Review of Fundamentals and Influential Factors of Artificial Intelligence

Artificial intelligence (AI) is a trend that is currently leading to controversial discussions.
Algorithmic Fairness in Education

Data-driven predictive models are increasingly used in education to support students, instructors, and administrators.
Mining Big Data in Education: Affordances and Challenges

The emergence of big data in educational contexts has led to new data-driven approaches
Self-Regulated Learning

Encourage Self-regulated Learning in the Classroom by Sharon Zumbrunn, Joseph Tadlock, and Elizabeth Danielle