CIRCLS primers are brief summaries of key topics found in the field. They are used to build capacity in the field and to give people a sense of RETTL’s main themes.
CIRCLS Reading Lists are submitted by members of the community on topics that are important to the future of learning with technology. To add additional key readings for newcomers to this topic or if you would consider writing a “primer” about this topic, use the share button. We also welcome reading lists for additional topics. We prefer open access resources.
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.
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 and benefits of complex facial recognition technologies requires the creation of a new federal office.
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 the terminology, applications, and difficulties of evaluating this complex set of technologies.
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, and use it. Explore the reading list.
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 address the needs of the RETTL community. Have a primer to recommend? Contact CIRCLS. Download PDF
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 on student’s achievement during online learning in terms of gender.
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 performance on both critical thinking and academic outcomes greatly increases.
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, and education.
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.
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 fairness of the predictions and uses of these algorithmic systems.
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 efforts to improve educational effectiveness.
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.
