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Lessons Learned from Collaborative Initialization of Machine Learning Class and STEM Contest with University and Industry Partnership

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Conference

2022 ASEE Annual Conference & Exposition

Location

Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

College Industry Partnerships Division Technical Session 1

Page Count

12

DOI

10.18260/1-2--41872

Permanent URL

https://peer.asee.org/41872

Download Count

229

Paper Authors

biography

Hoo Kim LeTourneau University

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Hoo Kim, Ph.D., P.E., is an Associate Professor in the School of Engineering and Engineering Technology at LeTourneau University. He received his B.S. and M.S. degrees from POSTECH, Pohang, South Korea, and his Ph.D. from the University of Texas at Austin. His professional interests include teaching in the area of electromagnetics and RF, integration of faith and engineering, and entrepreneurship in engineering.

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Abstract

University and industry partnerships have been effectively providing mutual benefits to both participating universities and industries, and the real-world engineering problems and networking opportunities provided during collaboration give students unique learning experiences. Various models and frameworks in university and industry partnership have been introduced with different collaborations. Small-sized schools in particular benefit greatly from partnerships. Some partnerships target not only higher education but also K-12 STEM education with diverse forms to impact more perspective students. This paper introduces the lessons learned from a three-year collaboration and partnership between LeTourneau University (LETU) and Qeexo, Inc. LETU is a small private institution in Texas, and Qeexo is a startup located at Silicon Valley in California. The partnership between LETU and Qeexo was initiated during the 1st year of a Silicon Valley mission trip with LETU students led by a faculty member. The successful partnership was established with a two-year collaboration to end with mutual benefits for the participating groups. Students experienced leading edge machine learning (ML) technology in their class term project and an embedded machine learning contest supported by Qeexo. Qeexo could test its pre-launch, new product before releasing and improve the product with valuable input and feedback from students and faculty with their user experience. In the 2nd year, the contest was expanded to include high school students who were in LETU’s dual credit programs. With this growing partnership, both LETU and high school students experienced real-world engineering projects to develop engineering solutions using a hands-on machine learning platform with the support of engineers and marketing experts in the fairly new STEM area of embedded machine learning. Diverse STEM collaboration and partnership among university students, industry experts, and high school students and their teachers ended with successful and encouraging outcomes with the desirable partnership case between small university and start-up company.

Kim, H. (2022, August), Lessons Learned from Collaborative Initialization of Machine Learning Class and STEM Contest with University and Industry Partnership Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41872

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