Constructing Automated Revision Graphs: A Novel Visualization Technique to Study Student Writing

Shibani, A

Constructing Automated Revision Graphs: A Novel Visualization Technique to Study Student Writing

Shibani, A

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Publisher:: Springer International Publishing
Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 12164 LNAI, pp. 285-290
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Shibani, A
dc.date.accessioned	2020-08-10T00:01:53Z
dc.date.available	2020-08-10T00:01:53Z
dc.date.issued	2020-01-01
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 12164 LNAI, pp. 285-290
dc.identifier.isbn	9783030522391
dc.identifier.issn	0302-9743
dc.identifier.issn	1611-3349
dc.identifier.uri	http://hdl.handle.net/10453/142039
dc.description.abstract	© 2020, Springer Nature Switzerland AG. This paper introduces a novel technique of constructing Automated Revision Graphs (ARG) to facilitate the study of revisions in writing. ARG plots sentences of a written text as nodes, and their similarities to sentences from its previous draft as edges to visualize text as graph. Implemented in two forms: simple and multi-stage, the graphs demonstrate how sentence-level differences can be visualized in short texts to study revision products, processes, and student interaction with feedback in student writing.
dc.language	en
dc.publisher	Springer International Publishing
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.isbasedon	10.1007/978-3-030-52240-7_52
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in [Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 12164 LNAI, pp. 285-290]. The final authenticated version is available online at: [ https://link.springer.com/chapter/10.1007%2F978-3-030-52240-7_52]”
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Constructing Automated Revision Graphs: A Novel Visualization Technique to Study Student Writing
dc.type	Conference Proceeding
utslib.citation.volume	12164 LNAI
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	recently_added	*
dc.date.updated	2020-08-10T00:01:43Z
pubs.publication-status	Published
pubs.volume	12164 LNAI

Abstract:

© 2020, Springer Nature Switzerland AG. This paper introduces a novel technique of constructing Automated Revision Graphs (ARG) to facilitate the study of revisions in writing. ARG plots sentences of a written text as nodes, and their similarities to sentences from its previous draft as edges to visualize text as graph. Implemented in two forms: simple and multi-stage, the graphs demonstrate how sentence-level differences can be visualized in short texts to study revision products, processes, and student interaction with feedback in student writing.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/142039