Sessions Analysis: Mining Online Tool Use to Predict the Performance in Blended Courses.

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dc.contributor.advisorCollin Lynch, Chairen_US
dc.contributor.advisorTiffany Barnes, Memberen_US
dc.contributor.advisorRanga Vatsavai, Memberen_US
dc.contributor.authorSeshadri, Adithyaen_US
dc.date.accepted2016-06-28en_US
dc.date.accessioned2016-06-29T12:32:18Z
dc.date.available2016-06-29T12:32:18Z
dc.date.defense2016-05-06en_US
dc.date.issued2016-05-06en_US
dc.date.released2016-06-29en_US
dc.date.reviewed2016-05-19en_US
dc.date.submitted2016-05-06en_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.levelthesisen_US
dc.degree.nameMaster of Scienceen_US
dc.identifier.otherdeg5236en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/11243
dc.rightsen_US
dc.titleSessions Analysis: Mining Online Tool Use to Predict the Performance in Blended Courses.en_US

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