Large-enrollment STEM Learning Environments: Cultural and experimental perspectives

dc.contributor.advisorBell, Phil
dc.contributor.authorWiggins, Benjamin Lloyd
dc.date.accessioned2016-03-11T22:39:13Z
dc.date.issued2016-03-11
dc.date.submitted2015
dc.descriptionThesis (Ph.D.)--University of Washington, 2015
dc.description.abstractPost-secondary STEM education forces students through an experiential bottleneck in the form of large-enrollment lecture courses. At colleges and universities around the world, talented students who have already passed through several academic filtering processes are challenged with coursework in environments that are impersonal, intimidatingly large, and typically taught using traditional passive lecture techniques. This is no way to educate the next generation of scientists, researchers, doctors, and innovators. Calls for improvement are frequent and loud, but the research on improvement in this unique arena is seldom conclusive useful for practitioners. This dissertation focuses on the large-enrollment STEM classroom as an opportunity for inspection and change. This dissertation seeks a wide-spectrum view across several key issues. Comprised of peer-reviewed articles, this work will examine the large-enrollment STEM classroom from four angles. First, an analysis of interactions between different types of teaching assistants will inform the student-instructor relationship and speak to important attributes in instructor teams. Secondly, the methods for modeling large education environments through social network analysis are developed. Third, a qualitative deep dive into student experiences is used to develop a survey instrument focused on student engagement with active teaching practices in a large-enrollment classroom; these mixed methods triangulate similar conclusions about the important factors for students. Lastly, predictions at the apex of the ICAP framework for active learning practices developed by Chi and Wylie (2014) are validated through an experimental use of split large-lecture courses as a model system. This dissertation is intentionally broad. As this learning environment is yet poorly understood, the author intends to address change in future work through a wider scope on multiple avenues for positive change. While this does not address any particular issues in the depth of multiple peer reviewed papers, it is agreed by the committee that a group-authored and collaborative look at multiple issues is a useful education for potential needs of post-secondary STEM education overall.
dc.embargo.lift2021-02-13T22:39:13Z
dc.embargo.termsRestrict to UW for 5 years -- then make Open Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherWiggins_washington_0250E_15243.pdf
dc.identifier.urihttp://hdl.handle.net/1773/35172
dc.language.isoen_US
dc.subjectactive learning; interactive; large classrooms; networks; sociocultural; STEM
dc.subject.otherEducation
dc.subject.otherScience education
dc.subject.otherCognitive psychology
dc.subject.othereducation - seattle
dc.titleLarge-enrollment STEM Learning Environments: Cultural and experimental perspectives
dc.typeThesis

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