Student feedback to improved retention: using a mixed-methods approach to extend specific feedback to a generalisable concept. (2nd January 2019)

• Record Type: Journal Article
• Authors: Calvert, Carol; Hilliam, Rachel
• Is Part Of: Open learning. Volume 34:Number 1(2019)
• Page Start: 103
• Page End: 117
• Publication Date: 2019-01-02
• Subjects: Predictive probabilities -- retention -- student feedback -- qualitative -- quantitative -- mixed methods; Distance education -- Great Britain -- Periodicals; Periodicals; 371.35
• DOI: 10.1080/02680513.2018.1552580
• Languages: English
• ISSNs: 0268-0513

Abstract

ABSTRACT: Across the Higher Education (HE) sector student feedback is used to feed into university processes and guide decision making. In this study, data gathered allowed the authors to investigate a hitherto neglected, but important, cohort of successful students – those who succeeded when all the odds were stacked against them. The identified group of students had relatively low predictive probabilities of passing their module, and yet despite all the odds passed. These identified students were interviewed by phone which yielded a much richer data set than is often available from student surveys. The advice they considered to be important to future students included specific guidance to get ahead, to plan and to contact their own academic tutor. Based on this advice an opportunity for future students to have a flexible early start on a specific module was created. A 4% increase in the number of registered students who subsequently started the module was maintained through to module completion.