Assessment of Digital Collaboration Skills

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dc.contributor.authorHuerta, Esperanza
dc.contributor.authorFranzoni Velázquez, Ana Lidia
dc.contributor.authorJensen, Scott
dc.date.accessioned2023-12-26T18:35:49Z
dc.date.available2023-12-26T18:35:49Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.011
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other0a275a97-dab9-4766-b7ae-745452e03177
dc.identifier.urihttps://hdl.handle.net/10125/106386
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAdvances in Teaching and Learning Technologies
dc.subjectassessment
dc.subjectchatgpt
dc.subjectdigital collaboration
dc.subjectgenerative ai
dc.subjectqualitative data coding
dc.titleAssessment of Digital Collaboration Skills
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThis exploratory study proposes a methodology for assessing digital collaboration skills based on the students’ actual behavior. Students’ comments using a digital collaboration tool during a one-month long project were manually coded. This methodology is not context specific and can be used across different domains. This assessment contrasts with self-reported measures in which students rate themselves as already possessing collaboration skills. Finally, the study explores the use of generative AI to automatically code student’s comments to alleviate the labor-intensive process that coding requires and to enable scalability in coding data.
dcterms.extent10 pages
prism.startingpage84

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