Tracking Students to Identify 'At Risk' Attitudes and Appropriate Engagement Practices

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Ali, Shameem and Lockstone, Leonie (2006) Tracking Students to Identify 'At Risk' Attitudes and Appropriate Engagement Practices. In: ANZMAC 2006 proceedings : Brisbane, Queensland 4-6 December 2006 : advancing theory, maintaining relevanceof Marketing 2006. Queensland University of Technology, School of Advertising, Marketing and Public Relations, Brisbane, Queensland, pp. 1-6.

Abstract

University funding, together with increasing competition and attrition rates have become issues of primary concern. Consequently, the identification of students “at risk” and the implementation of strategies to enhance student learning experiences as a means of reducing attrition rates has gained greater relevance for teachers, administrators and students. The aim of this study was to identify factors that may contribute to placing “students at risk” and to identify strategies to minimise the impact of risk factors with the view to improving student retention. The study investigates “students at risk” from the subject level perspective and how more engaging teaching practices may prevent non-completion of courses. The study identifies four components, namely, confident attitudes, at risk attitudes; student centred approaches and stressed attitudes, which may contribute to non-completion. Approaches that engage and build relationships with students early in the semester may assist in raising student confidence levels and reduce drop out risks.

Additional Information

Alternative title : ANZMAC 2006 Abstracts & programme : Brisbane, Queensland 4-6 December 2006 : advancing theory, maintaining relevance

Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/6599
Official URL http://www.anzmac.org/conference/2006/documents/Al...
ISBN 1741071593
Subjects Historical > Faculty/School/Research Centre/Department > School of Hospitality Tourism and Marketing
Historical > FOR Classification > 1301 Education Systems
Keywords ResPubID11287, student centred approach, risk attitudes, student engagement, students at risk, course preference, teaching quality, social background, work demands, student retention, principal components analysis, PCA
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