Improving Student Learning Through Hierarchical Reinforcement Learning Induced Pedagogical Policies.

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dc.contributor.advisorMin Chi, Chair
dc.contributor.advisorTiffany Barnes, Member
dc.contributor.advisorJames Lester II, Member
dc.contributor.advisorRoger Azevedo, Member
dc.contributor.authorZhou, Guojing
dc.date.accepted2020-07-09
dc.date.accessioned2020-07-15T12:31:02Z
dc.date.available2020-07-15T12:31:02Z
dc.date.defense2020-04-15
dc.date.issued2020-04-15
dc.date.released2020-07-15
dc.date.reviewed2020-04-22
dc.date.submitted2020-04-22
dc.degree.disciplineComputer Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatPh.D. North Carolina State University, 2020.
dc.identifier.otherdeg21094
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38144
dc.titleImproving Student Learning Through Hierarchical Reinforcement Learning Induced Pedagogical Policies.
dcterms.extent1 online resource (vii, 94 pages) : illustrations

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