Learning within Digital Media: Investigating the Relationships Between Student Citation Networks, Assignment Structures, and Learning Outcomes

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dc.contributor.authorCollins, Regina
dc.contributor.authorGruzd, Anatoliy
dc.date.accessioned2016-12-29T00:50:47Z
dc.date.available2016-12-29T00:50:47Z
dc.date.issued2017-01-04
dc.description.abstractStudents are comfortable sharing digital content with others, yet the effect of sharing of digital media for learning remains largely unexplored. Building on research in social network analysis and learning analytics, this research explores the use and sharing of digital media in learning activities, analyzing the effects of the design of the learning activities on the resulting networks of students and their cited resources, and exploring relationships between attributes of these citation networks and students’ perceptions of the learning outcomes. Results suggest that the extent to which an assignment is well-structured and converges towards a single solution positively influences the density and clustering coefficient of the resulting citation network, and that these network measures in turn have a positive influence on students’ perceptions of learning from the assignment.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2017.253
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/10125/41407
dc.language.isoeng
dc.relation.ispartofProceedings of the 50th 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.subjectCitation networks
dc.subjectlearning
dc.subjectsocial network analysis
dc.subjectlearning analytics
dc.titleLearning within Digital Media: Investigating the Relationships Between Student Citation Networks, Assignment Structures, and Learning Outcomes
dc.typeConference Paper
dc.type.dcmiText

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