Design-Based Research (DBR) is a systematic, iterative, and flexible approach often used in our work designing emerging technologies. We’ll contrast DBR with other methods that are sometimes confused with it such as, design-based implementation research, co-design, and design studies. In our focus on DBR, we’ll see how it can help us understand and improve our […]
Author Archives: Pati Ruiz
Learning Theories in RETTL work
Session facilitators will begin the session sharing perspectives that have informed their work and how they continue to draw on new lenses to advance their research and designs, including a description of how they center equity in their work. Facilitators’ work spans a variety of foci and theoretical lenses, usually cognitive and socio-cultural approaches, including […]
Equitable Learning in Immersive and Augmented Environments
This session will explore the topics of equity and learning in the context of emerging technologies (e.g., augmented, virtual, or mixed reality environments). As the application of these technologies to learning environments rapidly accelerates, the potential for disparities related to disability, socioeconomic status, and/or race is also growing. This discussion will center on how these […]
AI & Education Policy
This session is a culmination of discussions and deliverables put together during the CIRLS AI & Education Policy Working Group. The session will feature presentations on policy initiatives from the group including an AI EdTech vendor pledge, a policy brief for federal AI and education guidelines, and a policy brief for AI literacy and ethics […]
Equity and Ethics Considerations for AI
This session will begin with an overview and discussion of the meaning of fairness in AI within the learning sciences context. Some key ideas will include: (1) train models in an equitable way; (2) choosing applications to build; (3) considerations for ensuring that the tools that you are creating and want to create are accessible.
Learning Analytics and Data Visualization: Broadening our View
The production and application of learning analytics have extensive implications for education choices both now and in the future. While learning analytics can be used in many ways to improve learning, we must be aware of the more subtle consequences of its use in order to ensure that they are oriented toward the most positive […]
The Brookings Glossary of AI and Emerging Technologies
A glossary of AI and emerging technology terms last updated October 11, 2021.
Connections of Earth and Sky with Augmented Reality (CEASAR): Transforming Collaborative Learning Practices with Shared and Embedded Digital Models
by Robb Lindgren, James Planey, and Taehyun Kim
Two Cases of Documentation for Learning: MakerCards and the SDL Evidence Kit
by Marti Louw
Mixed-Reality Metaverse – A Collaborative Platform for Social Learning, Social Emotional Intelligence, and Work-Based Learning
by Marjorie Zielke