Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation

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dc.contributor.author Turnbull, Steven Martin
dc.contributor.author O’Neale, Dion RJ
dc.date.accessioned 2021-02-18T21:54:00Z
dc.date.available 2021-02-18T21:54:00Z
dc.identifier.citation Frontiers in Big Data 3:599016 01 Jan 2020
dc.identifier.uri https://hdl.handle.net/2292/54513
dc.description.abstract <jats:p>The current study uses a network analysis approach to explore the STEM pathways that students take through their final year of high school in Aotearoa New Zealand. By accessing individual-level microdata from New Zealand’s Integrated Data Infrastructure, we are able to create a co-enrolment network comprised of all STEM assessment standards taken by students in New Zealand between 2010 and 2016. We explore the structure of this co-enrolment network though use of community detection and a novel measure of entropy. We then investigate how network structure differs across sub-populations based on students’ sex, ethnicity, and the socio-economic-status (SES) of the high school they attended. Results show the structure of the STEM co-enrolment network differs across these sub-populations, and also changes over time. We find that, while female students were more likely to have been enrolled in life science standards, they were less well represented in physics, calculus, and vocational (e.g., agriculture, practical technology) standards. Our results also show that the enrollment patterns of Asian students had lower entropy, an observation that may be explained by increased enrolments in key science and mathematics standards. Through further investigation of differences in entropy across ethnic group and high school SES, we find that ethnic group differences in entropy are moderated by high school SES, such that sub-populations at higher SES schools had lower entropy. We also discuss these findings in the context of the New Zealand education system and policy changes that occurred between 2010 and 2016.</jats:p>
dc.publisher Frontiers Media SA
dc.relation.ispartofseries Frontiers in Big Data
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject cs.CY
dc.subject cs.CY
dc.subject stat.AP
dc.title Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation
dc.type Journal Article
dc.identifier.doi 10.3389/fdata.2020.599016
pubs.volume 3
dc.date.updated 2021-01-27T20:42:57Z
dc.rights.holder Copyright: The authors en
pubs.author-url http://arxiv.org/abs/2008.13575v1
pubs.publication-status Published online
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.elements-id 814607
dc.identifier.eissn 2624-909X
pubs.online-publication-date 2021-1-27

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