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

Article

Woolcott, Geoff, Chamberlain, Dan, Whannell, Robert and Galligan, Linda. 2018. "Examining undergraduate student retention in mathematics using network analysis and relative risk." International Journal of Mathematical Education in Science and Technology. 50 (3), pp. 447-463. https://doi.org/10.1080/0020739X.2018.1520932
Article Title

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

ERA Journal ID20498
Article CategoryArticle
AuthorsWoolcott, Geoff (Author), Chamberlain, Dan (Author), Whannell, Robert (Author) and Galligan, Linda (Author)
Journal TitleInternational Journal of Mathematical Education in Science and Technology
Journal Citation50 (3), pp. 447-463
Number of Pages17
Year2018
Place of PublicationUnited Kingdom
ISSN0020-739X
1464-5211
Digital Object Identifier (DOI)https://doi.org/10.1080/0020739X.2018.1520932
Web Address (URL)https://www.tandfonline.com/doi/full/10.1080↲ /0020739X.2018.1520932
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.

KeywordsUndergraduate mathematics, attrition, retention, service subjects, network analysis, relative risk
ANZSRC Field of Research 2020390303. Higher education
Byline AffiliationsSouthern Cross University
La Trobe University
University of New England
School of Agricultural, Computational and Environmental Sciences
Institution of OriginUniversity of Southern Queensland
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