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One of These Things Is Not Like the Others... Machines Can Learn to Classify Too (Resource Exchange)

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Pre-College Engineering Education Division (PCEE) Technical Session 12: Resource Exchange

Tagged Division

Pre-College Engineering Education Division (PCEE)

Page Count

3

DOI

10.18260/1-2--43776

Permanent URL

https://peer.asee.org/43776

Download Count

126

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Paper Authors

biography

Stephany Coffman-Wolph Ohio Northern University

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Dr. Stephany Coffman-Wolph is an Assistant Professor at Ohio Northern University in the Department of Electrical, Computer Engineering, and Computer Science (ECCS). Research interests include: Artificial Intelligence, Fuzzy Logic, Game Theory, Teaching Computer Science to First-Year, K-12 Outreach, and Increasing Diversity in STEM.

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Marcia Pool University of Illinois at Urbana - Champaign Orcid 16x16 orcid.org/0000-0002-2813-4217

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Dr. Marcia Pool is a Teaching Associate Professor and Director of Undergraduate Programs in the Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC). She has been active in improving undergraduate education including developing laboratories to enhance experimental design skills and mentoring and guiding student teams through the capstone design and a translational course following capstone design. In her Director role, she works closely with the departmental leadership to manage the undergraduate program including: developing course offering plan, chairing the undergraduate curriculum committee, reviewing and approving course articulations for study abroad, serving as Chief Advisor, and representing the department at the college level meetings. She is also engaged with college recruiting and outreach; she coordinates three summer experiences for high school students visiting Bioengineering and co-coordinates a weeklong Bioengineering summer camp. She has worked with the Cancer Scholars Program since its inception and has supported events for researcHStart. Most recently, she was selected to be an Education Innovation Fellow (EIF) for the Academy for Excellence in Engineering Education (AE3) at UIUC. At the national level, she served as the Executive Director of the biomedical engineering honor society, Alpha Eta Mu Beta (2011-2017) and is an ABET evaluator (2018-present).

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Kimberlyn Gray West Virginia University Institute of Technology

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Dr. Kimberlyn Gray is an Associate Professor at West Virginia University Institute of Technology in the department of Chemical Engineering.

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John T. Hird West Virginia University Institute of Technology Orcid 16x16 orcid.org/0000-0002-8491-4170

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Abstract

Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are highly popularized as tools to solve many problems in finance, computer security, natural language processing, and image processing. The use of these in cancer research has potential to reduce diagnostic time, improve detection, and potentially inform treatment. There are opportunities to scaffold learning with hands-on activities in the context of a societal problem to strengthen interest and persistence in STEM careers. Within ML, classification can be distilled to identification of features that are similar or different in a series of pictures. The game, “One of These Things (Is Not Like the Others)” popularized by Sesame Street, can be used to introduce students to this complex algorithm.

Coffman-Wolph, S., & Pool, M., & Gray, K., & Hird, J. T. (2023, June), One of These Things Is Not Like the Others... Machines Can Learn to Classify Too (Resource Exchange) Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43776

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