Baltimore , Maryland
June 25, 2023
June 25, 2023
June 28, 2023
Multidisciplinary Engineering Division (MULTI) Technical Session 7
Multidisciplinary Engineering Division (MULTI)
Diversity
14
10.18260/1-2--42746
https://peer.asee.org/42746
197
Kristen R. Moore is an Associate Professor in the Department of Engineering Education at University at Buffalo. Her research focuses primarily on technical communication and issues of equity, inclusion, and social justice.
Liesl Folks holds a BSc(Hons) and a PhD, both in Physics, from The University of
Western Australia. Her research interests are in spin electronic devices for logic and data storage.
Erin Rowley is the Head of Science and Engineering Library Services at the University at Buffalo and serves as the Engineering Librarian. Her research interests include the use of technical standards in engineering education, the role of the librarian in entrepreneurial information literacy, and collaboration between business and engineering librarians in academia.
The importance of “data acumen” for STEM students has been well-articulated by scholars and industry professionals—in part because data science infiltrates many areas of engineering and science. Yet within engineering programs, students often have few opportunities to develop expertise in data science or even to explore how data science is relevant to their degree specializations. This paper reports on an NSF-funded study of a program that prepares STEM students to engage with data science in coursework and then mentors them as they secure internships and complete a capstone that demonstrates their application of data science expertise. Drawing on a mixed-methods study, including student reflections, capstone project assessment, and survey reporting, this paper suggests not only that students make deep connections between their existing majors and data science but also that students trained in our data science micro-credential have unique opportunities to improve critical super-skills, including written communication, project management, iterative thinking, and real-world problem-solving.
Moore, K., & Folks, L., & Rowley, E. (2023, June), Connecting the Dots: A Programmatic Approach to Data Science within Engineering Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42746
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