TRAIL Lab

The Responsible AI for Learning Lab

Exploring where AI fits in diverse classrooms, or if it should.

Pioneering AI in Education

Housed at the University of Wisconsin–Madison, TRAIL Lab conducts interdisciplinary research in learning sciences, learning analytics, AI, and human-centered design to develop scientific understanding on responsible use of AI for teaching and learning in real-world contexts.

Learning Sciences

Evidence-based educational research

AI Integration

Responsible AI implementation

Learning Analytics

Data-driven insights

Human-Centered

User-focused design

Our Research Focus

We investigate the intersection of artificial intelligence and education through multiple lenses

Classroom Integration

Understanding how AI tools can be meaningfully integrated into diverse educational environments while respecting pedagogical principles.

Ethical AI

Developing frameworks for responsible AI use in education, addressing bias, privacy, and equity concerns.

Evidence-Based Research

Conducting rigorous studies to understand the impact of AI on learning outcomes and educational experiences.

Join Our Mission

Collaborate with us to shape the future of AI in education. Together, we can ensure that artificial intelligence serves to enhance learning while preserving the human elements that make education meaningful.

News

Jun 27, 2025

Shamya Karumbaiah was an invited speaker at the "AI and Society" event hosted by the Wisconsin International Resource Consortium.

Mar 24, 2025

Shamya Karumbaiah joined a post-grad panel on academia hosted by Penn GSE - LST/TLL.

Feb 21, 2025

Shamya Karumbaiah participated in the "AI & Learning" panel hosted by Phi Beta Kappa, UW-Madison.

Jan 27, 2025

Shamya Karumbaiah delivered a talk on "Bias in LLMs" for the Smart Cookie Visiting Professor Series at American Family Insurance.

Nov 13, 2024

Shamya Karumbaiah joined a panel on "Deliberation Dinners" at the UW-Madison Diversity Forum.

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