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Leedham, Maria; Tuck, Jackie; Shrestha, Prithvi; Therova, Dana and Ullmann, Thomas
(2023).
Abstract
Distance learning has become increasingly prevalent, particularly post Covid 19, yet little is known about distance students’ assessed writing. This pilot study aims to compile an innovative 4-million-word corpus of contemporary distance university undergraduate writing across four contrasting disciplines (Business, Engineering, History, Childhood Studies). Contextual student data such as disability, carer status, prior education and socio-economic status is also being collected and built into the corpus as text headers. Alongside the student writing corpus, a marker feedback corpus (comprising both on-script and summary comments) is being created. Two tutor-markers per discipline will be interviewed with a focus on specific student texts, informed by early findings from both corpora. This presentation will focus on the methodology used to build the two corpora and on analysis of early corpus findings combined with marker interviews. This project is also contributing to research into the implications for marking of Open AI’s GPT-3.
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- Item ORO ID
- 92284
- Item Type
- Conference or Workshop Item
- Project Funding Details
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Funded Project Name Project ID Funding Body Student Writing and Tutor Assessment Practices (SWaTAP) Not Set The Open University (OU) - Keywords
- student writing; CADS; tutor feedback; assessment; interviews; corpus linguistics; undergraduates; disciplines
- Academic Unit or School
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Faculty of Wellbeing, Education and Language Studies (WELS) > Languages and Applied Linguistics > English Language & Applied Linguistics
Faculty of Wellbeing, Education and Language Studies (WELS) > Languages and Applied Linguistics
Faculty of Wellbeing, Education and Language Studies (WELS)
Institute of Educational Technology (IET) - Research Group
- Applied Linguistics and Literacies Research Group
- Copyright Holders
- © 2023 The Author(s)
- Depositing User
- Maria Leedham