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The CIRCLS Explore section highlights the main themes emerging in computing and the learning sciences. Resources, including found primers, reading lists, reports, tips, and videos are located in this section. |
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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. Addressing the trade-offs among the risks
The Impact of Artificial Intelligence on Learning, Teaching, and Education
This report describes the current state of the art in artificial intelligence (AI) and its potential impact for learning, teaching,
Journals: What We’re Reading and Where We’re Publishing
An interdisciplinary list of publications that reflects the richness of the CIRCLS members’ interests and contributions to literature.
Machine Learning for Education Videos
Neural Information Processing Society (NEURIPS) hosted a workshop to explore how advances in machine learning could be applied to improve
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 topics, but written more specifically to
The Pedagogical Agent in Online Learning
This paper describes the impact of the degrees of realism (unrealistic, moderately realistic and highly realistic) of the pedagogical agent
Facial Recognition Technologies: A Primer
This primer presents background on Facial Recognition Technologies (FRTs) and is written for a non-technical audience to increase understanding of
Open Access Readings on the Learning Sciences
Learning sciences research investigates the process of learning in realistic settings. Explore the reading list.
Epistemic Cognition
Epistemic Cognition is thinking about what and how we know, including the ways in which we acquire knowledge, justify, adapt,
Educating Critical Thinkers: The Role of Epistemic Cognition
When students learn how to use evidence-based reasoning to build knowledge that is convincing to themselves and to others, their
AI and the Future of Learning: Expert Panel Report
Download the report (PDF)AI and the Future of Learning View Nov. 16, 2020 Webinar recording and slides Artificial intelligence (AI),
STEM Multiplex for All, Ambitious Mashups Highlights
The Multiplex is an online, free, interactive platform featuring over 800 short videos that showcase federally funded projects aimed at
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 level of connectedness.
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 each workshop are available below; see
Ambitious Mashups: Reflections on a Decade of Cyberlearning Research
Download the Report (PDF) Visit the Report Website Overview This report reflects on progress from over eight years of research
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 June Ahn, Jodi Asbell-Clarke, Matthew Berland,
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. However, there are concerns about the
Mining Big Data in Education: Affordances and Challenges
The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and
Open Access Readings on the Learning Sciences
Check out these free, open access, high quality resources on the learning sciences.
Self-Regulated Learning
Encourage Self-regulated Learning in the Classroom by Sharon Zumbrunn, Joseph Tadlock, and Elizabeth Danielle Roberts.
