Abstract
| Original language | English |
|---|---|
| Publication status | Published - 2016 |
| Event | Monash Learning & Teaching Conference - Duration: 2 Jun 2016 → … |
Conference
| Conference | Monash Learning & Teaching Conference |
|---|---|
| Period | 2/06/16 → … |
Cite this
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Plagiarism by contract writing : Insights from forensic linguistics. / Grieve, Averil Marie; Ross, Belinda Britt.
2016. Abstract from Monash Learning & Teaching Conference , .Research output: Contribution to conference › Abstract › Other › peer-review
TY - CONF
T1 - Plagiarism by contract writing
T2 - Insights from forensic linguistics
AU - Grieve, Averil Marie
AU - Ross, Belinda Britt
PY - 2016
Y1 - 2016
N2 - This paper focuses on how forensic linguistics might assist in developing tools to detect contract writing in tertiary settings. Academic integrity is threatened by a widespread rise in contract writing, whereby students pay others to write their assignments (Wallace & Newton, 2014). Contract cheating is most prevalent among students working in a non-native language (Lines, 2016; Rigby et al, 2015), making it centrally important to the Australian tertiary context. Plagiarism software remains unable to detect incidences of contract writing and, despite a number of proposed methods of prevention (Wallace & Newton, 2014), contract writing continues to rise unnoticed (O’Malley & Roberts, 2012; Rogerson, 2014). Developments in forensic linguistics, in particular, holistic approaches to the analysis of style and stylometrics (Kotzé, 2010; Mitchell, 2013), may lead the way to reliable authorship attribution. This research argues that such developments can inform academics in the creation of state-of- the-art contract writing detection software.
AB - This paper focuses on how forensic linguistics might assist in developing tools to detect contract writing in tertiary settings. Academic integrity is threatened by a widespread rise in contract writing, whereby students pay others to write their assignments (Wallace & Newton, 2014). Contract cheating is most prevalent among students working in a non-native language (Lines, 2016; Rigby et al, 2015), making it centrally important to the Australian tertiary context. Plagiarism software remains unable to detect incidences of contract writing and, despite a number of proposed methods of prevention (Wallace & Newton, 2014), contract writing continues to rise unnoticed (O’Malley & Roberts, 2012; Rogerson, 2014). Developments in forensic linguistics, in particular, holistic approaches to the analysis of style and stylometrics (Kotzé, 2010; Mitchell, 2013), may lead the way to reliable authorship attribution. This research argues that such developments can inform academics in the creation of state-of- the-art contract writing detection software.
M3 - Abstract
ER -