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Developing an employer led assessment strategy to increase employability: Presentation at APT 2018: An uncertain future: Adapting academic practice for an evolving digital world

Developing an employer led assessment strategy to increase employability: Presentation at APT 2018: An uncertain future: Adapting academic practice for an evolving digital world

Bartlett, Deborah, Sims, Deborah and Salmon, Elysia (2018) Developing an employer led assessment strategy to increase employability: Presentation at APT 2018: An uncertain future: Adapting academic practice for an evolving digital world. In: 16th Academic Practice and Technology Conference, 2018 Co-hosted by the University of Greenwich and the London School of Economics & Political Science at the Maritime Campus, University of Greenwich, London, SE10 9LS, 3 July 2018, University of Greenwich. (Unpublished)

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Abstract

Students are increasingly aware of the investment they are making in their education and looking for value for money (pay back) and the relevance of their learning to the job market. This was the impetus for re-evaluating the assessment strategy for the MSc in Environmental Conservation, aligning it more closely with ‘Competency Framework’ used by the professional body, the Chartered Institute of Ecology and Environmental Conservation, to assess career progression towards chartered status. This presentation will describe how standard assignments, such as exams, have been replaced with industry relevant ones that students can use to demonstrate competency to potential employers.

Item Type: Conference or Conference Paper (Paper)
Uncontrolled Keywords: employability; competency based assessment
Subjects: Q Science > QH Natural history > QH301 Biology
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Biology & Biotechnology Research Group
Faculty of Engineering & Science > Department of Pharmaceutical, Chemical & Environmental Sciences
Last Modified: 19 Aug 2018 00:55
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/21177

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