Understanding revisions in student writing through revision graphs

Shibani, A; Knight, S; Buckingham Shum, S

Understanding revisions in student writing through revision graphs

Shibani, A

Knight, S

Buckingham Shum, S

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 10948 LNAI pp. 332 - 336
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Shibani, A https://orcid.org/0000-0003-4619-8684	en_US
dc.contributor.author	Knight, S https://orcid.org/0000-0002-8709-5780	en_US
dc.contributor.author	Buckingham Shum, S https://orcid.org/0000-0002-6334-7429	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 10948 LNAI pp. 332 - 336	en_US
dc.identifier.isbn	9783319938455	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132905
dc.description.abstract	© Springer International Publishing AG, part of Springer Nature 2018. Text revision is regarded as an important process in improving written products. To study the process of revision activity from authentic classroom contexts, this paper introduces a novel visualization method called Revision Graph to aid detailed analysis of the writing process. This opens up the possibility of exploring the stages in students’ revision of drafts, which can lead to further automation of revision analysis for researchers, and formative feedback to students on their writing. The Revision Graph could also be applied to study the direct impact of automated feedback on students’ revisions and written outputs in stages of their revision, thus evaluating its effectiveness in pedagogic contexts.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-319-93846-2_62	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Understanding revisions in student writing through revision graphs	en_US
dc.type	Conference Proceeding
utslib.citation.volume	10948 LNAI	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	10948 LNAI	en_US

Abstract:

© Springer International Publishing AG, part of Springer Nature 2018. Text revision is regarded as an important process in improving written products. To study the process of revision activity from authentic classroom contexts, this paper introduces a novel visualization method called Revision Graph to aid detailed analysis of the writing process. This opens up the possibility of exploring the stages in students’ revision of drafts, which can lead to further automation of revision analysis for researchers, and formative feedback to students on their writing. The Revision Graph could also be applied to study the direct impact of automated feedback on students’ revisions and written outputs in stages of their revision, thus evaluating its effectiveness in pedagogic contexts.

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http://hdl.handle.net/10453/132905