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Work in Progress: Exploring the impact of Generative AI on Information Seeking Behavior of Engineering Students

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Conference

2024 ASEE Annual Conference & Exposition

Location

Portland, Oregon

Publication Date

June 23, 2024

Start Date

June 23, 2024

End Date

July 12, 2024

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Tagged Division

Engineering Libraries Division (ELD)

Permanent URL

https://peer.asee.org/48359

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Paper Authors

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Matthew Frenkel New York University Orcid 16x16 orcid.org/0000-0002-6883-1105

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Matthew Frenkel is the engineering librarian at NYU's Bern Dibner Library, and affiliated faculty in Mechanical Engineering at NYU Tandon. He is a member of the ASEE Engineering librarian division (ELD). Matthew's background is in the experimental study of optical whispering gallery sensors. His current interests are focused on professional skill development and teaching practices.

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Hebah Emara New York University

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Amanda He New York University Orcid 16x16 orcid.org/0000-0003-4869-7903

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Lindsay Anderberg New York University

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Lindsay Anderberg is the archivist and user services librarian at New York University Tandon School of Engineering in Brooklyn, New York. She received her MSLIS with a concentration in rare books and special collections from Long Island University’s Pal

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Samuel R. Putnam New York University Orcid 16x16 orcid.org/0000-0002-5521-4546

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Abstract

The user and application base of generative AI tools has seen tremendous growth over the past year. In response, numerous papers have been published evaluating how capable such tools are within certain disciplines. This work in progress aims to shift from evaluating generative AI tools’ capabilities to exploring how such tools impact the information seeking behaviors of their users. Specifically, the paper focuses on the impact of OpenAI’s ChatGPT on the information seeking behavior of engineering students. The paper presents data from a survey of engineering students. In addition, the paper provides the methodology and preliminary data from a structured interview where participants will use ChatGPT to address a multifaceted problem concerning the Grand Challenges for Engineering.

Frenkel, M., & Emara, H., & He, A., & Anderberg, L., & Putnam, S. R. (2024, June), Work in Progress: Exploring the impact of Generative AI on Information Seeking Behavior of Engineering Students Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/48359

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