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

\bibitem{asee_peer_42746}
  Moore, K., \& Folks, L., \& Rowley, E. (2023, June), \emph{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

Kristen Moore, Liesl Folks, and Erin Rowley.  "Connecting the Dots: A Programmatic Approach to Data Science within Engineering ".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/42746 Internet.  01 May, 2024

\bibitem{asee_peer_42746}
  Kristen Moore, Liesl Folks, and Erin Rowley.
  "Connecting the Dots: A Programmatic Approach to Data Science within Engineering ".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/42746 Internet.  01 May, 2024

@INPROCEEDINGS{asee_peer_42746
author = "Kristen Moore, Liesl Folks, and Erin Rowley"
title = "Connecting the Dots: A Programmatic Approach to Data Science within Engineering "
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/42746}
number = {10.18260/1-2--42746}
}

TY  - CPAPER
AB  - 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.  
AU  - Kristen Moore
AU  - Liesl Folks
AU  - Erin Rowley
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - Connecting the Dots: A Programmatic Approach to Data Science within Engineering 
UR  - https://peer.asee.org/42746
DO  - 10.18260/1-2--42746
ER  -