Document Type

Article

Publication Date

4-30-2026

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This article is the author's final published version in Journal of Microbiology and Biology Education, Volume 27, Issue 1, April 2026, Article Number e0022325.

The published version is available at https://doi.org/10.1128/jmbe.00223-25. Copyright © 2026 Tripepi et al.

Abstract

Artificial intelligence (AI) rapidly transforms biological research and STEM education by enabling automated data collection and analysis. In order to teach students about biodiversity monitoring, data validation, and the importance of human oversight in machine learning, we created an activity utilizing Birdbuddy, a commercially available AI-enabled bird feeder. Students set up feeders in their local surroundings, gather automatically produced photos and species identifications, and verify the data collected to assess the accuracy of AI outputs. The activities promote conversation on AI bias and inaccuracy while highlighting transferable skills like ecological analysis, spreadsheet management, and experimental design. Birdbuddy encourages use in undergraduate classes, K-12 partnerships, and community science projects due to its low cost, portability, and ease of maintenance. In addition to promoting inclusive, experiential learning and developing an appreciation for biodiversity and the scientific method, this technology offers a scalable, affordable way to connect ecological research with AI literacy.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Language

English

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