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Title: Measuring the Health of Makerspaces During Large Disruptions Such As the COVID-19 Pandemic
Abstract As the popularity of makerspaces and maker culture has skyrocketed over the past two decades, numerous studies have been conducted to investigate the benefits of makerspaces for university students and how to best establish an inclusive, welcoming environment in these spaces on college campuses. However, unprecedented disruptions, such as the COVID-19 pandemic, have the potential to greatly affect the way that students interact with makerspaces and the benefits that result. In this study, a survey asking about prior makerspace involvement, tool usage, and student demographics was administered to students who use academic makerspaces at two large public universities. Survey data was collected for three semesters (Fall 2020, Spring 2021, and Spring 2022) and spanned both during and after the height of the COVID-19 pandemic. To quantify the differences between the semesters, nestedness and connectance metrics inspired by ecological plant-pollinator networks were utilized. These ecological metrics allow for the structure of the interactions of a network to be measured, with nestedness highlighting how students interact with tools and connectance with the quantity of student-to-tool interaction. The network analysis was used to better gauge the health of the makerspace and the type and frequency of interactions between tools. The raw survey data combined with the ecological metrics provided unique insight into the struggles the makerspaces encountered throughout the pandemic. It was found that nestedness, a measure of system stability, decreases with a decrease in tool usage. Additionally, the higher the connectance the more students interacted with the space. Utilizing metrics such as these and better understanding student tool interactions can aid makerspaces in monitoring their success and maintaining a healthy and welcoming space, as well as tracking the current health of the space. In combination with the survey results, a deep understanding of what challenges the space is facing can be captured.  more » « less
Award ID(s):
2013547 2013505
PAR ID:
10498876
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Date Published:
Volume:
6
ISBN:
978-0-7918-8734-9
Page Range / eLocation ID:
1-8
Subject(s) / Keyword(s):
makerspace engineering education network modeling bio-inspired design
Format(s):
Medium: X
Location:
Boston, Massachusetts, USA
Sponsoring Org:
National Science Foundation
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