Detecting uncertainty to improve retention

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QMUL Centre for Academic and Professional Development Educational Research Seminar

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Presenters 
Dr Lalage Sanders & Dr Carolyn Mair

Dr Lalage Sanders is a Chartered Psychologist, a Chartered Scientist and an Associate Fellow of the Higher Education Academy. She is a reader in Pedagogical Psychology and is Head of the Department of Applied Psychology in Cardiff Metropolitan University. Her research interests lie in understanding and enhancing the experience of students in Higher Education, specifically focussing on their engagement and their wellbeing. Read more

Dr Carolyn Mair is a Chartered Psychologist and Chartered Scientist and Reader in Psychology at London College of Fashion (LCF), University of the Arts London (UAL). Her research interests lie in the application of psychology to increase knowledge, improve performance and enhance well-being. Carolyn developed the world's first Masters courses to apply psychology to fashion at LCF. Read more

Thursday 14 April 2016

Detecting uncertainty to improve retention

Presented by: Dr Lalage Sanders, Head of the Department of Applied Psychology, Cardiff Metropolitan University and Dr Carolyn Mair,  Reader in Psychology, London College of Fashion 

**Lunch Provided**

Date & Time: Thursday 14 April 2016, 1-2pm

Venue: Centre for Academic and Professional Development, Room 3.11, Francis Bancroft Building, Queen Mary University of London Mile End campus.

Please register for this seminar via Eventbrite or email the CAPD at [log in to unmask] – lunch will be provided for those who book, so please let us know if you have any specific dietary requirements.

About the seminar:

Research into the progress of Foundation Year students has identified psychometric factors that are apparently predictive of non-completion of the course (Sanders, Daly & Regan 2012).  This research seminar will explore a study which extended this research to ascertain whether these psychometric tests are also a useful diagnostic for direct entry undergraduates. Data from the study indicated that those who were not going to complete expected poorer marks than did their successful peers. Preliminary analysis suggests this finding is robust across courses. The speakers will propose that these psychometric measures could be used to identify those at risk of withdrawal, making it possible to target support appropriately to reduce attrition and thereby improve retention.

For further details, please visit the CAPD website.

If you have any further enquires please contact [log in to unmask]