Investigating Best Practices in the Design of Automated Hints and Formative Feedback to Improve Students’ Cognitive and Affective Outcomes.

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dc.contributor.advisorThomason Price, Chair
dc.contributor.advisorJames Lester II, Member
dc.contributor.advisorTiffany Barnes, Member
dc.contributor.advisorEric Wiebe, Member
dc.contributor.authorMarwan, Samiha Abdelrahman Mohammed
dc.date.accepted2021-11-18
dc.date.accessioned2021-11-19T13:30:33Z
dc.date.available2021-11-19T13:30:33Z
dc.date.defense2021-10-29
dc.date.issued2021-10-29
dc.date.released2021-11-19
dc.date.reviewed2021-11-08
dc.date.submitted2021-11-05
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, 2021.
dc.identifier.otherdeg27705
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39228
dc.titleInvestigating Best Practices in the Design of Automated Hints and Formative Feedback to Improve Students’ Cognitive and Affective Outcomes.
dcterms.extent1 online resource (ix, 151 pages) : color illustrations

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