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Interrogating Racism: An Arts-Based Self-Study Of The Interactions Of One White Teacher Educator In A Rural Teacher Preparation Program, Jaime Vanenkevort
Interrogating Racism: An Arts-Based Self-Study Of The Interactions Of One White Teacher Educator In A Rural Teacher Preparation Program, Jaime Vanenkevort
All NMU Master's Theses
This arts-based self-study examined racism, whiteness, and white supremacy in the practices of one teacher educator in a rural, Midwestern university. Data was generated using arts-based methods. Narrative inquiry and critical incident technique (CIT) were utilized to analyze data. Through arts-based self-study techniques, I demonstrate how arts-based self-study can create diverse and multimodal access to understand identity construction and the effort to dismantle racism and other systemic barriers in the teacher education context. Furthermore, through multimodal arts-based data collection, I demonstrate the possibility for educators to navigate complex memory and emotional processing to develop more complex, nuanced understandings of antiracist …
Improving The Rigor Of Online Education: Exploring Characteristics Of Faculty And Syllabi Within An Online Program Assessment Process, Brad J. Hamel
Improving The Rigor Of Online Education: Exploring Characteristics Of Faculty And Syllabi Within An Online Program Assessment Process, Brad J. Hamel
All NMU Master's Theses
As online course enrollments grow, overall perception of rigor still lags compared to that of traditional face-to-face education. The purpose of this research was to tie faculty and syllabi characteristics to the rigor of online courses. This study explored the relationship between faculty and syllabi characteristics and performance on an online entry-level course design quality assurance assessment (pass, pass with concern, or fail). A decision tree analysis was used to predict the relationship of the independent (faculty and syllabi characteristics) and the dependent (entry-level course design assessment) variables. Findings suggest that faculty rank and writing intensive are key characteristics predictive …