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

机译:使用网络分析和相对风险检查学生在数学上的保留率

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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.
机译:高等教育在留住要求精通数学的学生方面面临挑战。这项研究将相对风险和社交网络分析的创新组合应用于来自澳大利亚地区大学的一组新生的入学数据。流行病学研究中经常使用的相对风险用于策略性研究大学第一年的数学科目与第一年学习的其他科目相比是否显示出更高的流失风险。网络分析用于说明这些数学学科的联系,并通过其多个联系来识别服务学科。分析显示,九名受试者中有八名的损耗率在可接受的范围内,其中包括已确定的服务受试者。例外情况突出显示了此队列中的数学能力问题。提议将这种组合分析技术适当地用于在教师和机构一级调查损耗和保留率时使用,包括确定干预水平和对任何受试者的支持。

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