Individual Fellow Initiatives

Student-centered learning strategies have been effectively used to increase academic performance and learning in students. Educators have hypothesized that course content reduction can also improve student learning. However, support for this idea is lacking. In the present project, I am planning to assess whether a content reduction strategy increases the academic performance of upper-division stem students at the University of Texas-Austin.

The primary goal of this community-based service project is to provide experiential learning opportunities for undergraduates interested in statistics and data sciences while supporting the broader Austin-area community. Coordinating with local organizations, students enrolled in some of our SDS courses are gaining hands-on experience in data analysis while exploring authentic contexts. This innovative and collaborative effort provides a community-based model that allows students and local organizations to co-develop and answer real-world research questions.

As the campus community enters a new post-pandemic era, it is clear that one of the most urgent needs following 2+ years of remote and hybrid learning is to create poignant, relevant contexts for pursuing immersive experiential learning. As universities reckon with the challenge of continuing to evolve their value propositions to meet student demand for more industry-relevant experiences, there is an opportunity to innovate how we design and deliver unique pedagogical experiences that connect more deeply with their educational and professional journey.

(Project completed 2021) Systems of oppression gain their power from silence. Faculty in the School of Nursing and across the country are not always comfortable engaging in conversations about race and racism, but these discussions are necessary in order to address the disproportionately poor health outcomes experienced by BIPOC. In response to student and faculty concerns, this project seeks to move our school towards an antiracist climate by targeting multiple layers.