Skip navigation

The impact on students of coursework assessment deadlines and penalties

The impact on students of coursework assessment deadlines and penalties

Stoneham, Raymond (2008) The impact on students of coursework assessment deadlines and penalties. In: Graham, Deryn, (ed.) "e" Teaching and Learning 2008: Workshop Proceedings. Higher Education Academy, Subject Centre for Information and Computer Sciences, Newtownabbey, Northern Ireland, pp. 9-13. ISBN 978-0-9552005-9-5

Full text not available from this repository.


The use by students of an e-learning system that enhances traditional learning in a large university computing school where there are clear assessment deadlines and severe penalties for late submission of coursework is examined to assess the impact of changes to the deadline model on the way students use the system and on the results they achieve. It is demonstrated that the grade a student achieves is partly dependent on the time before the deadline when the work is completed - in general, students who submit earlier gain higher grades. Possible reasons for this are explored. Analysis of the data from a range of different implementations of deadline policies is presented. Suggestions are made on how to minimise any possible negative impact of the assessment policy on the student's overall learning.

Item Type: Book Section
Additional Information: This paper forms part of the Proceedings of the "e" Teaching and Learning Workshop, held 3 June 2008, at the University of Greenwich, London. The one-day Workshop was a collaboration between the eCentre (University of Greenwich) and the Higher Education Academy, ICS Subject Centre.
Uncontrolled Keywords: assessment, blended learning
Subjects: L Education > LB Theory and practice of education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
B Philosophy. Psychology. Religion > BF Psychology
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Information Systems & Digital Media
School of Computing & Mathematical Sciences > eCentre
Related URLs:
Last Modified: 02 Oct 2019 14:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

Actions (login required)

View Item View Item