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