CIRCLS’23 Roundtables

Image contains light a circle with 10 dots surrounding the perimeter. There are seven dark grey dots and three red dots. The red dots have a thin line on the outer half.Roundtables are a 60-minute session where attendees can learn more about research projects while engaging with peers in small groups.

Return to the CIRCLS’23 Agenda

How do the Roundtables work?

The intent of the Roundtable session at the CIRCLS’23 convening is to share information about one’s work while connecting with peers around a topic of interest. The session will consist of 21 roundtables dedicated to a specific topic or theme. Participants will pick one table to attend during registration. Presenters will take 3-6 minutes to share about their work, and will then facilitate a discussion about the roundtable topic among the table participants for the remainder of the session.

Participants should pick up a ticket for the table they are interested in at the registration desk when they arrive. The number of tickets per table is limited (there are only 10 chairs for presenters and participants), so pick up your ticket early to get access to your favorite table!

Table Topics and Presenters

View the full roundtable descriptions.

  1. Equity-centered approaches for computing education and data literacy – Angela Stewart & Rosta Farzan
  2. Leveraging AI for Lifelong Learning: Upskilling and Reskilling in Professional Development – Yeonji Jung, Sreecharan Sankaranarayanan
  3. Multimodal sensing and psychomotor measures for learning analytics and new skill acquisition in virtual and real settings – R. Leila Barmaki, Hengtao Tang, Hemalathaa Kasiviswanath Yuvaraja
  4. Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions – Arun Lekshmi-Narayanan, Keunjae Kim, God’salvation Oguibe
  5. Data Science in K-12 Education – Andres Henriquez, Josephine Louie, Amy Stephens
  6. Ensuring responsible integration of AI for practitioners and learners – Pati Ruiz, Michael Chang & Christina Agvent
  7. Addressing bias and marginalization in computing and emerging technologies – Yolanda Rankin, Breanne Litts & Rogelio E. Cardona-Rivera
  8. Orchestrating classroom instruction using AI and tech-supported teacher tools – Erin Ottmar & Collin Lynch
  9. AI for supporting SEL and Noncognitive skill development – H. Chad Lane
  10. Leveraging generative AI to support CS student outcomes – Lori Jacques & Marco Gerosa
  11. Equity of AI in Higher Education (CFP: Special issue in the Journal of Computing in Higher Education) – Lin Lipsmeyer
  12. Co-creating with AI-based engineering design tools – Nikolas Martelaro & Roxanne Moore, Gennie Mansi
  13. LLMs in education: Promising use cases and ethical considerations – Ryan Watkins & John Stamper
  14. Using intelligent and agent-based systems to support collaboration and social learning – Emmanuel Johnson & Majorie Zielke
  15. Immersive and virtual environments for CS and CT learning – Kyungbin Kwon & Ying Wu
  16. AI in the context of Games for Learning – Magy Seif El-Nasr
  17. Mixed reality tools for neurodiversity – Zachary Alstad
  18. Connecting researchers and practitioners: Models for working together in educational settings – Steve Coxon & Matt Matilla
  19. Student-centered approaches to data science and math learning – Joseph Polman & Caro Williams-Pierce
  20. Empowering emerging researchers: Fundamental skills, community connections, and agency– Eleanor Sayre
  21. Promoting student inquiry and reflection through AI-supported educational environments – Janice Gobert & Perry Samson