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.
In the following reading list, you’ll find popular science and academic articles that provide overviews of Brain Computer Interfaces (BCI)
Diversity Drives Innovation—Take Action to Broaden Participation in Computing (BPC)
This self-guided course is designed for computing and IT faculty and administrators who are beginning work on diversifying undergraduate computing
Check these videos out and share your thoughts in the STEM for ALL Video Showcase discussion.
Explore the five tips from NSF to help you write your Broader Impacts statement.
Watch the recordings of the three Educators, AI, and the Future of Learning Webinars.
Advancing Quantum Education and Workforce Development Webinar April 27, 2021 at 1-2:30 pm ET
Link to the LAK21 proceedings.
These videos, first presented at annual, STEM for All Video Showcase events, highlight the "ambitious mashups" of technology and learning.
U is a beautiful shape for your journal article. Version 2.0
How to Host Successful Virtual Scientific Advisory Boards
Explore the five tips from NSF program officers to help you work with them.
In recent years, facial recognition technologies (FRTs) have experienced enormous growth and rapid deployment. Addressing the trade-offs among the risks
This report describes the current state of the art in artificial intelligence (AI) and its potential impact for learning, teaching,
An interdisciplinary list of publications that reflects the richness of the CIRCLS members’ interests and contributions to literature.
Neural Information Processing Society (NEURIPS) hosted a workshop to explore how advances in machine learning could be applied to improve
CIRCLS features relevant primers found in the literature. We welcome new primers on similar topics, but written more specifically to
February 10, 2021 at 4PM ET
The first virtual forum in a three-part series examining the impact of AI in higher ed. Wednesday, February 17 at
A weekly webinar series about good practices of learning together online Wednesdays, January 13th – April 7th 2021 – 3:00
This paper describes the impact of the degrees of realism (unrealistic, moderately realistic and highly realistic) of the pedagogical agent
This primer presents background on Facial Recognition Technologies (FRTs) and is written for a non-technical audience to increase understanding of
Learning sciences research investigates the process of learning in realistic settings. Explore the reading list.
Epistemic Cognition is thinking about what and how we know, including the ways in which we acquire knowledge, justify, adapt,
Watch the Webinar Passcode: .kcr0Zt4 Read the transcript Watch the NSF Research on Learning in Formal and Informal Settings (DRL)
When students learn how to use evidence-based reasoning to build knowledge that is convincing to themselves and to others, their
Download the report (PDF)AI and the Future of Learning View Nov. 16, 2020 Webinar recording and slides Artificial intelligence (AI),
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.
Download the report: Emerging Directions from the Workshop Leaders Summit (PDF) White papers on each workshop are available below; see
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,
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. However, there are concerns about the
The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and
Check out these free, open access, high quality resources on the learning sciences.
Encourage Self-regulated Learning in the Classroom by Sharon Zumbrunn, Joseph Tadlock, and Elizabeth Danielle Roberts.