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OpenEssayist: extractive summarisation and formative assessment of free-text essays

Van Labeke, Nicolas; Whitelock, Denise; Field, Debora; Pulman, Stephen and Richardson, John T. E. (2013). OpenEssayist: extractive summarisation and formative assessment of free-text essays. In: 1st International Workshop on Discourse-Centric Learning Analytics, 8 Apr 2013, Leuven, Belgium.

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Abstract

OpenEssayist is a system which is currently under development. It aims to provide an effective automated interactive feedback system that yields an acceptable level of support for university students writing summative essays. The principal natural language processing technique currently employed is extractive summarisation using graph-based ranking algorithms. OpenEssayist will be piloted in September 2013 with Open University UK students following a Master’s course of study.

Item Type: Conference Item
Copyright Holders: 2013 The authors
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetEPSRC (Engineering and Physical Sciences Research Council)
Extra Information: A pre Conference workshop at LAK13
Keywords: learning analytics; formative feedback; natural language processing; essay writing
Academic Unit/Department: Institute of Educational Technology
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Related URLs:
Item ID: 37548
Depositing User: Denise Whitelock
Date Deposited: 03 May 2013 09:50
Last Modified: 24 Feb 2016 07:47
URI: http://oro.open.ac.uk/id/eprint/37548
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