11 Structural Geology and Tectonics (Posters)

Sunday, 22 March 2026
8:00 AM - 12:00 PM
CCC, Ballroom C

Evaluating Student’s Assessment of Artificial Intelligence’s (AI) Ability to Generate Cross-Sectional Diagrams of Tectonic Plate Boundaries

Paper number: 11-6
Program: Technical Sessions
Time: 8:00 AM – 8:00 AM

Authors

Abstract

Artificial intelligence (AI) tools capable of producing scientific imagery have the potential to enhance geoscience education by allowing students to visualize Earth systems. Through the use of a take-home assignment, this study asks students in a general education course to critically assess AI image-generation tools' ability to accurately create cross-sectional representations of major plate boundary. We student prompts, generated images, and subsequent revisions to assess conceptual accuracy, spatial reasoning, and understanding of geologic processes. The project works to evaluate students' ability to recognize errors, the clarity of student mental models, and the degree to which AI-assisted visualization improves comprehension compared with traditional diagramming approaches. This study also seeks to understand how quickly AI image generators can potentially improve what they produce when continually asked to refine generated images. Results from this study promotes effective use of AI in assignments, display best practices for integrating AI tools into geoscience curricula, as well as highlight opportunities to support students in developing stronger scientific communication and visualization skills.

Geological Society of America Abstracts with Programs. Vol. 58, No. 2

doi: 10.1130/abs/2026NE-411244

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