Individual versus computer-supported collaborative self-explanations: how do their writing analytics differ?

dc.contributor.authorAlbó, Laia
dc.contributor.authorBeardsley, Marc Yoshimi
dc.contributor.authorAmarasinghe, Ishari
dc.contributor.authorHernández Leo, Davinia
dc.date.accessioned2020-08-31T11:14:58Z
dc.date.issued2020
dc.descriptionComunicació presentada a: ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning, organitzada a Tartu, Estònia, del 6 al 9 de juliol de 2020ca
dc.description.abstractResearchers have demonstrated the effectiveness of self-explanations (SE) as an instructional practice and study strategy. However, there is a lack of work studying the characteristics of SE responses prompted by collaborative activities. In this paper, we use writing analytics to investigate differences between SE text responses resulting from individual versus collaborative learning activities. A Coh-Metrix analysis suggests that students in the collaborative SE activity demonstrated a higher level of comprehension. Future research should explore how writing analytics can be incorporated into CSCL systems to support student performance of SE activities.en
dc.description.sponsorshipThis work has been partially funded by the EU Regional Development Fund, Erasmus +, and the National Research Agency of the Spanish Ministry of Science, Innovation and Universities under project grants TIN2017-85179-C3-3-R, 2017-1-ES01-KA201-038220, RED2018-102725-T, and the UPF PlaClik program. D. Hernández-Leo acknowledges the support by ICREA under the ICREA Academia programme.
dc.format.mimetypeapplication/pdf
dc.identifier.citationAlbó L, Beardsley M, Amarasinghe I, Hernández-Leo D. Individual versus computer-supported collaborative self-explanations: how do their writing analytics differ?. In: ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning; 2020 Jul 6-9; Tartu, Estonia. New York: IEEE; 2020. p. 132-4. DOI: 10.5281/zenodo.1239732
dc.identifier.doihttp://dx.doi.org/10.5281/zenodo.1239732
dc.identifier.isbn978-1-7281-6090-0
dc.identifier.issn2161-377X
dc.identifier.urihttp://hdl.handle.net/10230/45238
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning; 2020 Jul 6-9; Tartu, Estonia. New York: IEEE; 2020. p. 132-4.
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/TIN2017-85179-C3-3-R
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/RED2018-102725-T
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/ICALT49669.2020.00046
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordSelf-explanationsen
dc.subject.keywordWriting analyticsen
dc.subject.keywordCoh-Metrixen
dc.subject.keywordComputer-supported collaborative learningen
dc.titleIndividual versus computer-supported collaborative self-explanations: how do their writing analytics differ?
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
albo_ICALT2020_indi.pdf
Size:
324.31 KB
Format:
Adobe Portable Document Format