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“I Just Learn Differently”: The Experiences Of Dis/Abled Students Of Color Interpreting And Resisting Normalizing Forces In The Mathematics Classroom, Dina Mahmood
Education (PhD) Dissertations
This critical phenomenological study employs a disabilities studies in education and critical race theory (DisCrit) lens to unpack the learning experiences of seven dis/abled students of color in the secondary mathematics classroom. Based on data collected from individual and group interviews, the counter-stories presented in this study highlight the implicit and explicit ways that the normative forces of ableism and racism circulate in the secondary mathematics classroom. Through their education journey maps, the participants described forms of hyper-labeling, experiences of implicit and explicit biases from teachers and peers, and rigid conceptions of mathematics that constrained their success. The counter-stories are, …
Causalmodels: An R Library For Estimating Causal Effects, Joshua Wolff Anderson
Causalmodels: An R Library For Estimating Causal Effects, Joshua Wolff Anderson
Computational and Data Sciences (MS) Theses
Free and open source software for statistical modeling and machine learning have advanced productivity in data science significantly. Packages such as SciPy in Python and caret in R provide fundamental tools for statistical modeling and machine learning in the two most popular programming languages used by data scientists. Unfortunately, robust tools similar to these are limited in terms of causal inference. The tools in R that exist lack consistent and standardized methodologies and inputs. R lacks a comprehensive package that offers traditional causal inference methods such as standardization, IP weighting, G-estimation, outcome regression, and propensity matching in one common package. …