Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
14
10.18260/1-2--41476
https://peer.asee.org/41476
360
Dr. Astrid Layton is an Assistant Professor and the Donna Walker Faculty Fellow in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University. Dr. Layton’s research is an expert in bio-inspired system design, with a focus on the use of biological ecosystems as inspiration for achieving sustainability and resilience through the design of complex human networks and systems. Her work has produced novel bio-inspired designs for industrial settings (supply chains & industrial resource networks), critical resources (water distribution networks & power grids), as well as more complex systems of systems (SoS) settings. She is the author or co-author on several technical publications, including 19 journal papers and 30 peer-reviewed conference papers. Her co-authored 2020 paper at ASME’s IDETC-CIE in SEIKM won the best paper award. Dr. Layton holds a B.S. in Mechanical Engineering from the University of Pittsburgh. She received her Ph.D. from the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology in 2014.
Globally, universities have heavily invested in makerspaces. Purposeful investment however requires an understanding of how students use tools and how tools aid in engineering education. This paper utilizes a modularity analysis in combination with student surveys to analyze and understand the space as a network of student-tool interactions. The results show that a modularity analysis is able to identify the roles of different tool groupings in the space by measuring how well tool groups are connected within their own “module” and their connection to tools outside of their module. A highly connected tool in both categories is considered a hub that is critical to the network. Poorly connected tools indicate insignificance or under utilization. Makerspaces at two universities were investigated: School A with a full-time staff running the makerspace and School B run by student-volunteers. The results show that 3D printers and metal tools are hubs at School A and 3D printers, metal tools, and laser cutters are hubs at School B. School B was also found to have a higher overall interaction with all the tools in the space. The modularity analysis results are validated using two-semesters worth of student self-reported survey data. The results support the use of a modularity analysis as a way to analyze and visualize the complex network interactions occurring within a makerspace, which can support the improvement of current makerspaces and development of future makerspaces.
Layton, A., & Linsey, J., & Blair, S., & Hairston, G., & Banks, H. (2022, August), Modularity Analysis of Makerspaces to Determine Potential Hubs and Critical Tools in the Makerspace Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41476
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