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dc.identifier.urihttp://hdl.handle.net/11401/78435
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.en_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.typeDissertation
dcterms.available2018-11-12T17:50:21Z
dcterms.contributorTeng, Tian-Lihen_US
dcterms.creatorAdebowale, Oluwakayode Chidebem Victor
dcterms.dateAccepted2018-11-12T17:50:21Z
dcterms.dateSubmitted2018-11-12T17:50:21Z
dcterms.descriptionDepartment of Technology, Policy, and Innovation.en_US
dcterms.extent173 pg.en_US
dcterms.formatMonograph
dcterms.identifierhttp://hdl.handle.net/11401/78435
dcterms.issued2017
dcterms.provenanceMade available in DSpace on 2018-11-12T17:50:21Z (GMT). No. of bitstreams: 1 Adebowale_grad.sunysb_0771E_13638.pdf: 4050290 bytes, checksum: 41241ee13cf0881ec98b3f68a4dd487a (MD5) Previous issue date: 2017en
dcterms.subjectEducational technology
dcterms.subjectdistance learning
dcterms.subjectinstructional design
dcterms.subjectlearner analytics
dcterms.subjectlearner-content interaction
dcterms.subjectonline learning
dcterms.subjecttransactional distance
dcterms.titleLearner Analytics Patterns of Online Students’ Interactions with Course Contents—Impacts on Student Outcomes, and Usefulness for Predictive Models to Optimize Student Outcomes in Online Courses in Blackboard Learn Learning Management System of Stony Brook University’s School of Professional Devt.
dcterms.typeDissertation


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