CIRCLS External Primers are brief summaries of key topics published in journals from the field. They are used to build capacity and to give people a sense of RETTL’s main themes. CIRCLS also publishes different types of Rapid Community Reports, including primers.

CIRCLS Reading Lists are curated by CIRCLS community members with expertise in a specific scholarly field or a topic significant for research on emerging technologies for teaching and learning. Readers might use CIRCLS Reading lists as trusted starting points to gain insight into the interest areas.

We invite you to contribute reading lists for additional topics. We especially encourage graduate students, postdocs, and recent graduates (within two years of graduation) to consider curating a CIRCLS Reading List. We prefer open access resources whenever possible.

Please contact us if you have any suggestions for external primers or if you are interested in curating a CIRCLS Reading List.

AllExternal PrimersReading Lists

Podcast series: Fairness and Equity in AI for Education

This is a limited podcast series with five interviews with researchers in the fields

The Brookings Glossary of AI and Emerging Technologies

A glossary of AI and emerging technology terms last updated October 11, 2021.

Responsible AI: Bridging From Ethics to Practice

Ben Shneiderman discusses "Responsible AI," a Viewpoint column in the August 2021 CACM.

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

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

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

Open Access Readings on the Learning Sciences

Learning sciences research investigates the process of learning in realistic settings. Explore the reading

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

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

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

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