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Conference Paper: Automating assessment of collaborative writing quality in multiple stages: the case of wiki

TitleAutomating assessment of collaborative writing quality in multiple stages: the case of wiki
Authors
Hu, XNg, TDLu, TLei, CU
KeywordsAutomated assessment
Metadiscourse
Wiki
Issue Date2016
PublisherThe Association for Computing Machinery, Inc..
Citation
The 6th International Conference on Learning Analytics and Knowledge (LAK 2016), Edinburgh, UK. 25-29 April 2016. In Conference Proceedings, 2016, p. 518-519 How to Cite?
DOI: http://dx.doi.org/10.1145/2883851.2883963
AbstractThis study attempts to investigate to what extent indicators of academic writing and cognitive thinking can help measure the writing quality of group collaborative writings on Wikis. Particularly, comparisons were made on Wiki content in different stages of the projects. Preliminary results from a multiple linear regression analysis reveal that linguistic indicators such as engagement markers and self-mention were significant predictors in earlier stages to the projects, whereas verbs indicating cognitive thinking in the evaluation level were significant in later project stages. © 2016 Copyright held by the owner/author(s).
DescriptionPoster
Persistent Identifierhttp://hdl.handle.net/10722/231575
ISBN
978-145034190-5
ISI Accession Number ID
WOS:000390844700081

 

DC FieldValueLanguage
dc.contributor.authorHu, X-
dc.contributor.authorNg, TD-
dc.contributor.authorLu, T-
dc.contributor.authorLei, CU-
dc.date.accessioned2016-09-20T05:24:06Z-
dc.date.available2016-09-20T05:24:06Z-
dc.date.issued2016-
dc.identifier.citationThe 6th International Conference on Learning Analytics and Knowledge (LAK 2016), Edinburgh, UK. 25-29 April 2016. In Conference Proceedings, 2016, p. 518-519-
dc.identifier.isbn978-145034190-5-
dc.identifier.urihttp://hdl.handle.net/10722/231575-
dc.descriptionPoster-
dc.description.abstractThis study attempts to investigate to what extent indicators of academic writing and cognitive thinking can help measure the writing quality of group collaborative writings on Wikis. Particularly, comparisons were made on Wiki content in different stages of the projects. Preliminary results from a multiple linear regression analysis reveal that linguistic indicators such as engagement markers and self-mention were significant predictors in earlier stages to the projects, whereas verbs indicating cognitive thinking in the evaluation level were significant in later project stages. © 2016 Copyright held by the owner/author(s).-
dc.languageeng-
dc.publisherThe Association for Computing Machinery, Inc..-
dc.relation.ispartofProceedings of the Sixth International Conference on Learning Analytics & Knowledge, LAK'16-
dc.subjectAutomated assessment-
dc.subjectMetadiscourse-
dc.subjectWiki-
dc.titleAutomating assessment of collaborative writing quality in multiple stages: the case of wiki-
dc.typeConference_Paper-
dc.identifier.emailHu, X: xiaoxhu@hku.hk-
dc.identifier.emailNg, TD: jeremyng@hku.hk-
dc.identifier.emailLei, CU: culei@hku.hk-
dc.identifier.authorityHu, X=rp01711-
dc.identifier.authorityLei, CU=rp01908-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1145/2883851.2883963-
dc.identifier.scopuseid_2-s2.0-84976480834-
dc.identifier.hkuros263656-
dc.identifier.spage518-
dc.identifier.epage519-
dc.identifier.isiWOS:000390844700081-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 161007-

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