The purpose of the Expertise Connections sessions was for participants to learn something about a topic where they are not experts. Community members with expertise (1) shared information and examples with participants who wanted to learn more about the topic, (2) provided a forum for participants to discuss how they might incorporate the topic into their work, and (3) brokered connections between community members who are interested in a topic.
Computational Thinking with an Equity Lens
Since the launch of the CSforALL initiative in the US in January 2016, more attention has been paid to broadening participation within CS education. Computational thinking (CT) is a key
Possibilities with Wearables and Biometrics
Many wearable technologies are surprisingly accessible and affordable, making them a compelling part of formal and informal computational and design curricula that aim to broaden participation in computing and other
Interactions with AI Systems: How Do We Avoid Risk and Bias?
AI-enabled conversational agents first engaged learners in text-based dialogue in Carbonell's 1970 SCHOLAR system. Since then, both the technology behind conversational agents and the learning sciences have advanced. Current conversational
Using the Learning Sciences and Computational Approaches to Develop Assessments and Intelligent Tutoring Systems
Learning Environments with Artificial Intelligence informed by Learning Analytics have the power to transform learning and assessment. Session facilitators will begin with discussions on the different perspectives of AI that
Top Things to Know about Motivation and Engagement
Motivation and engagement are important and broad topics receiving a lot of attention from various stakeholders in education interested in students’ learning outcomes, ranging from students themselves, parents, and teachers
Towards Equity, Accessibility, & Inclusion
Designing for equity, accessibility, and/or inclusion can encounter unforeseen barriers despite all good intentions to broaden participation. What design strategies and/or research-informed practices can be applied across project stages to
What is Design-Based Research?
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
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
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
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
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
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
