In this episode, we explore two groundbreaking studies that highlight the evolving nature of learning and assessment in the era of AI. We discuss how eye-tracking technology is revolutionizing mathematics education and the implications of AI-generated exam answers going undetected by human markers.

• Announcements about upcoming presentations at the MassCUE Fall Conference 2024
• Updates on the Upward Bound and Massenburg STEM Institute programs
• Discussion of eye-tracking research in mathematics education (see below for DOI)
• Exploration of a study on AI-generated exam answers (see below for DOI)
• Reflections on the convergence of culture, education, and technology in the age of AI

1. Eye-Tracking in Mathematics Education (https://doi.org/10.3389/feduc.2024.1386487)
2. AI-Generated Exam Answers Study (https://doi.org/10.1371/journal.pone.0305354)

Takeaways and something to think about:

• How can we use technologies like eye-tracking to create more inclusive learning experiences?

• In a world where AI can produce high-quality academic work, how do we redefine education and assessment?
• How can we ensure that technological advancements in education benefit all learners, regardless of their background?

Website: culturecomputepod.com

Email: sgattupalli@umass.edu

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About the host:

Sai Gattupalli is a learning sciences researcher at the College of Education, University of Massachusetts Amherst. His work focuses on the intersection of culture, technology, and education in the digital age.

The Culture Compute podcast reviews only open-access articles in an attempt to promote open science. Join us next week as we continue to explore the fascinating intersections of culture, technology, and learning in our digital age.