Learning and Teaching about Food Webs in a Computationally Rich Environment: A Mixed-methods Study.

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dc.contributor.advisorEric Wiebe, Chair
dc.contributor.advisorSoonhye Park, Member
dc.contributor.advisorMelissa Jones, Member
dc.contributor.advisorChristopher Mayhorn, Minor
dc.contributor.authorRachmatullah, Arif
dc.date.accepted2021-05-28
dc.date.accessioned2021-11-25T13:30:26Z
dc.date.available2021-11-25T13:30:26Z
dc.date.defense2021-05-13
dc.date.embargo2021-11-25
dc.date.issued2021-05-13
dc.date.released2021-11-25
dc.date.reviewed2021-05-19
dc.date.submitted2021-05-17
dc.degree.disciplineLearning and Teaching in STEM
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Learning and Teaching in STEM.
dc.formatPh.D. North Carolina State University, 2021.
dc.identifier.otherdeg25707
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39278
dc.titleLearning and Teaching about Food Webs in a Computationally Rich Environment: A Mixed-methods Study.
dcterms.extent1 online resource (xi, 221 pages) : illustrations (some color)

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