Panel 1

The AI Institute for Engaged Learning

Moderator: James Lester, North Carolina State University (

Speakers: Gautam Biswas, Vanderbilt University Cindy, Hmelo-Silver Indiana University, Jeremy Roschelle, Digital Promise

This panel will present the AI Institute for Engaged Learning. The Institute is a multi-institutional, multi-disciplinary organization that conducts research on narrative-centered learning technologies, embodied conversational agents, and multimodal learning analytics. The Institute’s vision is informed by a nexus of stakeholders to ensure that the AI-empowered learning technologies are ethically designed and prioritize diversity, equity, and inclusion. Its research centers on AI-driven learning environments that leverage advances in natural language processing, computer vision, and machine learning to create deeply engaging learning experiences. The panel will present the Institute’s vision, provide an overview of its research, and describe current work.

Panel 2

Reimagining AI in Education: Perspectives from the Institute for Student-AI Teaming

Moderator: Peter Foltz, University of Colorado Boulder

Speakers: Sidney DMello, University of Colorado Boulder, Rose Southwell, University of Colorado Boulder, Jason Reitman, University of Colorado Boulder, Michael Chang, University of California Berkeley

This panel will highlight a vision for AI, beyond a cold, autonomous agent working for humans to a socio-technical synergistic partnership with humans. We will discuss these ideas in the context of the NSF National AI Institute for Student AI Teaming (, which brings together a geographically distributed team of researchers with K-12 partners to reframe the role of AI in education, moving from a facilitator of personalized one-on-one learning, to a social, collaborative partner which helps students and teachers work and learn more effectively, engagingly, and equitably. The panel will focus on research insights and technologies at the intersection of the Institute’s three research strands: (1) foundational AI to understand and facilitate conversations; (2) orchestrating classroom interactions with AI; and (3) broadening participation with curriculum co-design. We will contextualize the research within our commitment to responsible innovation and polycultural approaches for developing ethical AI technologies.

Panel 3 

Reproducibility crisis in AI: Lessons learned from other fields

Moderator: to be confirmed

Speakers: to be confirmed

Many fields, including education, have adopted AI techniques to better understand scientific phenomena. In education, it has been used to support pain points in the student journey, such as identifying at-risk students earlier, taking proper actions to improve success and retention, and creating high-impact opportunities to improve student engagement and satisfaction. In line with the growing interest in AI, the tech industry offers AI tools and tutorials designed to attract newcomers by claiming to teach how to deploy AI solutions in a few weeks. However, rushing to use AI tools without a comprehensive understanding of their techniques and limitations has the potential to produce irreproducible models, which can create more harm than good. The panel will examine the reproducible issues identified in other fields, their reasons, potential solutions, and implications in education.

Panel 4

Predicting a Panoply of Progress…and Problems

Moderator: Myk Garn, Georgia Institute of Technology

Speakers: Jennifer Thornton, Business Higher Education Forum, Kemi Jona, Northeastern University

This session will examine AI at the intersection of colleges, companies, and the American workforce. What will be gained…and what will be lost in the ongoing industrial and emerging academic revolutions as AI impacts these disparate cultures and a panoply of scenarios become possible. Will more data and the AI tools they inform create an opportunity space making students and workers more productive, faculty more effective, employers more competitive, academia and corporations more successful? Or not. Join this panel in exploring these questions.

More to come…