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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 enrolment patterns of the Maori and Pacific Islands sub-populations had higher levels of entropy, an observation that may be explained by fewer enrolments in key science and mathematics standards. Through further investigation of this disparity, we find that ethnic group differences in entropy are moderated by high school SES, such that the difference in entropy between Maori and Pacific Islands students, and European and Asian students is even greater. We discuss these findings in the context of the New Zealand education system and policy changes that occurred between 2010 and 2016., Comment: 29 pages, 9 figures, 2 tables

Current trends suggest that significant gender disparities exist within Science, Technology, Engineering, and Mathematics (STEM) education at university, with female students being underrepresented in physics, but more equally represented in life sciences (e.g., biology, medicine). To understand these trends, it is important to consider the context in which students make decisions about which university courses to enrol in. The current study seeks to investigate gender differences in STEM through a unique approach that combines network analysis of student enrolment data with an interpretive lens based on the sociological theory of Pierre Bourdieu. We generate a network of courses taken by around 9000 undergraduate physics students (from 2009 to 2014) to quantify Bourdieu's concept of field. We explore the properties of this network to investigate gender differences in transverse movements (between different academic fields) and vertical movements (changes in students' achievement rankings within a field). Our findings indicate that female students are more likely to make transverse movements into life science fields. We also find that university physics does a poor job in attracting high achieving students, and especially high achieving female students. Of the students who do choose to study physics, low achieving female students are less likely to continue than their male counterparts. The results and implications are discussed in the context of Bourdieu's theory, and previous research. We argue that in order to remove constraints on female student's study choices, the field of physics needs to provide a culture in which all students feel like they belong., Comment: 23 pages, 6 figures, 1 table

Students face diverse pathways as they journey through undergraduate study. The analysis of student course records can untangle common patterns in course progression, and identify group trends in student outcomes. The current work examines the relationship between gender and undergraduate physics study, using course records from over nine thousand students who enrolled in physics at the University of Auckland, spanning a six year period. Physics students' demographic and course records were analyzed to find out whether there were gender differences in subject selection, course performance, and confidence. Subsequent to taking a first year physics course, female students were more likely to take further courses in life science subjects, while male students were more likely to take physical science subjects. In first year courses, gender differences were not present among highly academically prepared students, for whom school type (single-sex or coeducational) was a better predictor of course outcome. However, of those students who were less academically prepared in their first year, male students tended to outperform female students. Female students were also more likely to take an introductory physics course before an advancing course, compared to male students, after controlling for academic preparation. Science capital, a concept related to Pierre Bourdieu's notions of capital and habitus, was employed as an interpretive research framework. Habitus, the system of dispositions one uses to interpret the world, is largely influenced by the socio-cultural context in which an individual builds their identity. The following study explains how an interaction between science capital and an individual's habitus may lead to gender disparities in student outcomes in the field of physics.