Examining undergraduate student retention in mathematics using network analysis and relative risk

Author(s)
Woolcott, Geoff
Chamberlain, Dan
Whannell, Robert
Galligan, Linda
Publication Date
2019
Abstract
Higher education faces challenges in retaining students who require a command of numeracy in their chosen field of study. This study applies an innovative combination of relative risk and social network analysis to enrolment data of a single cohort of commencing students from an Australian regional university. Relative risk, often used in epidemiology studies, is used to strategically investigate whether first year mathematics subjects at the university demonstrated a higher risk of attrition when compared to other subjects offered in the first year of study. The network analysis is used to illustrate the connections of those mathematics subjects, identifying service subjects through their multiple connections. The analysis revealed that attrition rates for eight of the nine subjects were within acceptable limits, and this included identified service subjects. The exception highlighted the issue of mathematics competencies in this cohort. This combined analytical technique is proposed as appropriate for use when investigating attrition and retention at faculty and institutional levels, including the determination of levels of intervention and support for any subject.
Citation
International Journal of Mathematical Education in Science and Technology, 50(3), p. 447-463
ISSN
1464-5211
0020-739X
Link
Publisher
Taylor & Francis
Title
Examining undergraduate student retention in mathematics using network analysis and relative risk
Type of document
Journal Article
Entity Type
Publication

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