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Using student experience as a model for designing an automatic feedback system for short essays

Alden, Bethany; Van Labeke, Nicolas; Field, Debora; Pulman, Stephen; Richardson, John T. E. and Whitelock, Denise (2014). Using student experience as a model for designing an automatic feedback system for short essays. International Journal of e-Assessment, 4(1), article no. 68.

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Abstract

The SAFeSEA project (Supportive Automated Feedback for Short Essay Answers) aims to develop an automated feedback system to support university students as they write summative essays. Empirical studies carried out in the initial phase of the system’s development illuminated students’ approaches to and understandings of the essay-writing process. Findings from these studies suggested that, regardless of their experience of higher education, students consider essay-writing as: 1) a sequential set of activities, 2) a process that is enhanced through particular sources of support and 3) a skill that requires the development of personal strategies. Further data collected from tutors offered insight into the feedback and reflection stages of essay-writing. These perspectives offered a fundamental model of essay-writing and feedback to inform the ongoing, iterative development of this automated feedback system and indeed, for any institution developing tools to support students’ writing.

Item Type: Article
Copyright Holders: 2014 Not known
ISSN: 2045-9432
Project Funding Details:
Funded Project NameProject IDFunding Body
Supportive Automated Feedback for Short Essay Answers (SAFeSEA)EP/J005959/1EPSRC (Engineering and Physical Sciences Research Council)
Keywords: automated feedback; essay-writing; natural language processing; assessment; e-learning
Academic Unit/School: Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Item ID: 40517
Depositing User: John T. E. Richardson
Date Deposited: 10 Jul 2014 13:07
Last Modified: 10 Feb 2017 10:56
URI: http://oro.open.ac.uk/id/eprint/40517
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