Natural Language Processing: Writing Analytics

Gibson, A; Aileen Shibani Michael Xavier, A

Natural Language Processing: Writing Analytics

Gibson, A Aileen Shibani Michael Xavier, A

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Publisher:: Society for Learning Analytics Research
Publication Type:: Chapter
Citation:: Handbook of Learning Analytics – Second edition, 2022, 2, 2, pp. 96-104
Issue Date:: 2022-03-24

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Field	Value	Language
dc.contributor.author	Gibson, A
dc.contributor.author	Aileen Shibani Michael Xavier, A https://orcid.org/0000-0003-4619-8684
dc.date.accessioned	2022-04-28T04:01:14Z
dc.date.available	2022-04-28T04:01:14Z
dc.date.issued	2022-03-24
dc.identifier.citation	Handbook of Learning Analytics – Second edition, 2022, 2, 2, pp. 96-104
dc.identifier.isbn	978-0-9952408-3-4
dc.identifier.uri	http://hdl.handle.net/10453/156746
dc.description.abstract	Writing analytics uses computational techniques to analyse written texts for the purposes of improving learning. This chapter provides an introduction to writing analytics, through the discussion of linguistic and domain orientations to the analysis of writing, and descriptive and evaluative intentions for the analytics. The chapter highlights the importance of the relationship between writing analytics and good pedagogy, contending that for writing analytics to positively impact learning, actionability must be considered in the design process. Limitations of writing analytics are also discussed, highlighting areas of concern for future research
dc.language	en
dc.publisher	Society for Learning Analytics Research
dc.relation.ispartof	Handbook of Learning Analytics – Second edition
dc.relation.isbasedon	10.18608/hla22.010
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Natural Language Processing: Writing Analytics
dc.type	Chapter
utslib.citation.volume	2
utslib.citation.edition	2
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Provost
pubs.organisational-group	/University of Technology Sydney/Provost/TD School
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2022-04-28T04:01:12Z
pubs.edition	2
pubs.publication-status	Published
pubs.volume	2

Abstract:

Writing analytics uses computational techniques to analyse written texts for the purposes of improving learning. This chapter provides an introduction to writing analytics, through the discussion of linguistic and domain orientations to the analysis of writing, and descriptive and evaluative intentions for the analytics. The chapter highlights the importance of the relationship between writing analytics and good pedagogy, contending that for writing analytics to positively impact learning, actionability must be considered in the design process. Limitations of writing analytics are also discussed, highlighting areas of concern for future research

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http://hdl.handle.net/10453/156746