Development of a Reading Material Recommender System Based On Design Science Research Approach

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dc.contributor.authorEryilmaz, Evren
dc.contributor.authorThoms, Brian
dc.contributor.authorLee, Kuo-Hao
dc.contributor.authorde Castro, Melissa
dc.date.accessioned2019-01-03T00:05:07Z
dc.date.available2019-01-03T00:05:07Z
dc.date.issued2019-01-08
dc.description.abstractUsing design science research (DSR), we outline the construction and evaluation of a recommender system incorporated into an existing computer-supported collaborative learning environment. Drawing from Clark’s communication theory and a user-centered design methodology, the proposed design aims to prevent users from having to develop their own conversational overload coping strategies detrimental to learning within large discussions. Two experiments were carried out to investigate the merits of three collaborative filtering recommender systems. Findings from the first experiment show that the constrained Pearson Correlation Coefficient (PCC) similarity metric produced the most accurate recommendations. Consistently, users reported that constrained PCC based recommendations served best to their needs, which prompted users to read more posts. Results from the second experiment strikingly suggest that constrained PCC based recommendations simplified users’ navigation in large discussions by acting as implicit indicators of common ground, freeing users from having to develop their own coping strategies.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.303
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59690
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd 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.subjectLearning in Digital and Social Media
dc.subjectDigital and Social Media
dc.subjectComputer-supported collaborative learning, conversation overload, design science research, user-centered design
dc.titleDevelopment of a Reading Material Recommender System Based On Design Science Research Approach
dc.typeConference Paper
dc.type.dcmiText

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