Partnerships for Change: Transforming Research on Emergent Learning Technologies
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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
![Large language models, explained with a minimum of math and jargon](https://circls.org/wp-content/uploads/2023/07/UnderstandingAILogo.png)
This post is a good primer on large language models. It explains how they
Towards social generative AI for education: theory, practices and ethics
![Towards social generative AI for education: theory, practices and ethics](https://circls.org/wp-content/uploads/2023/06/brand-logomark-primary-large.jpeg)
This paper explores educational interactions involving humans and artificial intelligences not as sequences of
Any-to-Any Generation via Composable Diffusion
![Any-to-Any Generation via Composable Diffusion](https://circls.org/wp-content/uploads/2023/06/brand-logomark-primary-large.jpeg)
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
![book icon](https://circls.org/wp-content/uploads/2020/12/Screen-Shot-2020-12-08-at-4.48.12-PM-150x150.png)
A reading list compiled by Educator CIRCLS.
Determining Capacity within Systemic Educational Reform
![ERIC database](https://circls.org/wp-content/uploads/2022/07/Determining-Capacity-150x150.png)
This paper was presented at the 1999 Annual Meeting of the American Educational Research
Assessment in the age of artificial intelligence
![Computers and Education: Artificial Intelligence Volume 3, 2022](https://circls.org/wp-content/uploads/2022/06/ScienceDirect-AI.gif)
This paper reviews traditional assessments and presents artificial intelligence approaches that might address current
Reading List: Conjecture Mapping
![book icon](https://circls.org/wp-content/uploads/2020/12/Screen-Shot-2020-12-08-at-4.48.12-PM-150x150.png)
Edited by: Michael Chang This reading list provides an overview of conjecture mapping, a
CIRCL Center: Understanding Universal Design for Learning Primer
![CIRCL Center: Understanding Universal Design for Learning Primer](https://circls.org/wp-content/uploads/2019/04/cropped-cropped-favicon-network-96x96-150x150.png)
Universal Design for Learning (UDL) is a research-based framework intended to guide the design
CIRCL Center: Learning Sciences Primer
![CIRCL Center: Learning Sciences Primer](https://circls.org/wp-content/uploads/2019/04/cropped-cropped-favicon-network-96x96-150x150.png)
The Learning Sciences is a field of scientific research that developed in the 1980s,
Conceptualizing AI literacy: An exploratory review
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Computers and Education: Artificial Intelligence Journal Publication, Volume 2, 2021, Open access
Podcast series: Fairness and Equity in AI for Education
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This is a limited podcast series with five interviews with researchers in the fields
CIRCLS’21: Expertise Connection Videos
![CIRCLS21 Convening](https://circls.org/wp-content/uploads/2021/10/CIRCLS21ConveningMegaphone-150x150.png)
Community members with expertise shared information and examples with participants who wanted to learn
The Brookings Glossary of AI and Emerging Technologies
![The Brookings Glossary of AI and Emerging Technologies](https://circls.org/wp-content/uploads/2021/10/TheBrookingsGlossary-150x150.png)
A glossary of AI and emerging technology terms last updated October 11, 2021.
CIRCLS’21: Gallery Walk
![CIRCLS21 Convening](https://circls.org/wp-content/uploads/2021/10/CIRCLS21ConveningMegaphone-150x150.png)
Gallery Walk posters from CIRCLS’21: Remake “Broadening” in Research on Emerging Technologies for Teaching
Responsible AI: Bridging From Ethics to Practice
![Slide for Responsible AI presentation](https://circls.org/wp-content/uploads/2021/07/ResponsibleAISlides-150x150.png)
Ben Shneiderman discusses "Responsible AI," a Viewpoint column in the August 2021 CACM.
Intelligence Augmentation for Collaborative Learning
![Intelligence Augmentation for Collaborative Learning Presentation First Slide](https://circls.org/wp-content/uploads/2021/07/Intelligence-Augmentation-for-Collaborative-Learning.png)
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
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Recruitment is a key challenge for researchers conducting any large school-based study. Random assignment
Reading List: AI and Education Policy
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A reading list compiled by CIRCLS’ AI and Education Policy Expertise Exchange, which convened
Reading List: Brain Computer Interfaces for Education
![book icon](https://circls.org/wp-content/uploads/2020/12/Screen-Shot-2020-12-08-at-4.48.12-PM-150x150.png)
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
![Creative Problem Solving in STEM in Minecraft](/wp-content/uploads/2021/05/Screen-Shot-2021-05-13-at-10.12.44-AM.png)
Check these videos out and share your thoughts in the STEM for ALL Video
Educators, Artificial Intelligence, and the Future of Learning Series Videos
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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
![STEM for ALL Multiplex Videos - Ambitious Mashups of Technology and Learning - 2020 Playlist](https://circls.org/wp-content/uploads/2021/04/STEMforALL-150x150.png)
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
![open book icon](/wp-content/uploads/2020/12/Screen-Shot-2020-12-08-at-4.48.12-PM.png)
In recent years, facial recognition technologies (FRTs) have experienced enormous growth and rapid deployment.
The Impact of Artificial Intelligence on Learning, Teaching, and Education
![The Impact of Artificial Intelligence on Learning, Teaching, and Education](https://circls.org/wp-content/uploads/2020/11/JRC-Science-for-Policy-Report-150x150.png)
This report describes the current state of the art in artificial intelligence (AI) and
Journals: What We’re Reading and Where We’re Publishing
![book icon](https://circls.org/wp-content/uploads/2020/12/Screen-Shot-2020-12-08-at-4.48.12-PM-150x150.png)
An interdisciplinary list of publications that reflects the richness of the CIRCLS members’ interests
Machine Learning for Education Videos
![megaphone](https://circls.org/wp-content/uploads/2020/10/Jobs-150x150.png)
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
![book cover](/wp-content/uploads/2020/12/AI_in_Educ.png)
CIRCLS features relevant primers found in the literature. We welcome new primers on similar
The Pedagogical Agent in Online Learning
![open book icon](/wp-content/uploads/2020/12/Screen-Shot-2020-12-08-at-4.48.12-PM.png)
This paper describes the impact of the degrees of realism (unrealistic, moderately realistic and
Facial Recognition Technologies: A Primer
![open book icon](/wp-content/uploads/2020/12/Screen-Shot-2020-12-08-at-4.48.12-PM.png)
This primer presents background on Facial Recognition Technologies (FRTs) and is written for a
Reading List: Open Access Readings on the Learning Sciences
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Learning sciences research investigates the process of learning in realistic settings. Explore the reading
Reading List: Epistemic Cognition
![book icon](https://circls.org/wp-content/uploads/2020/12/Screen-Shot-2020-12-08-at-4.48.12-PM-150x150.png)
Epistemic Cognition is thinking about what and how we know, including the ways in
Educating Critical Thinkers: The Role of Epistemic Cognition
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When students learn how to use evidence-based reasoning to build knowledge that is convincing
AI and the Future of Learning: Expert Panel Report
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Download the report (PDF)AI and the Future of Learning View Nov. 16, 2020 Webinar
STEM Multiplex for All, Ambitious Mashups Highlights
![STEM Multiplex for All, Ambitious Mashups Highlights](http://circlcenter.org/wp-content/uploads/2015/05/showcase-300x270.png)
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
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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
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Download the report: Emerging Directions from the Workshop Leaders Summit (PDF) White papers on
Ambitious Mashups: Reflections on a Decade of Cyberlearning Research
![Ambitious Mashups: Reflections on a Decade of Cyberlearning Research](/wp-content/uploads/2020/09/Ambitious-Mashups-Cover-Tilted.png)
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
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Download the Report (PDF) Read the Executive Summary Watch the STEM Showcase Video Authors
A Review of Fundamentals and Influential Factors of Artificial Intelligence
![A Review of Fundamentals and Influential Factors of Artificial Intelligence](/wp-content/uploads/2020/10/Fundamentals-and-Influential-Factors-AI-Paper.png)
Artificial intelligence (AI) is a trend that is currently leading to controversial discussions.
Algorithmic Fairness in Education
![Algorithmic Fairness in Education](/wp-content/uploads/2020/10/ai-fairness-primer.png)
Data-driven predictive models are increasingly used in education to support students, instructors, and administrators.
Mining Big Data in Education: Affordances and Challenges
![mining big data](/wp-content/uploads/2020/10/mining-big-data.png)
The emergence of big data in educational contexts has led to new data-driven approaches
Self-Regulated Learning
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Encourage Self-regulated Learning in the Classroom by Sharon Zumbrunn, Joseph Tadlock, and Elizabeth Danielle