Individual Fellow Initiatives

Displaying 1 - 4 of 4
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SafeTeach Collaborative

Cohort
2024
Fellow(s)

The SafeTeach Collaborative is a learning community that aims to improve faculty and graduate students' ability to handle classroom safety issues by developing their knowledge, self-efficacy, and instructional strategies. The program utilizes interactive methods including role-play exercises, scenario-based learning, and case study analyses to engage participants in realistic safety situations. The project's design fosters peer support networks, ideally providing participants with ongoing resources for addressing safety concerns.

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Disability Justice as Pedagogical Practice

Cohort
2024
Fellow(s)

Within social work curriculum, the topic of disability is either explicitly absent or medicalized.  The lack of a rich understanding of disability as a cultural experience that intersects with other cultural experiences is concerning given our ethical guidelines of cultural competence and equity.  Additionally, not only are students excluded via this omission, but so are faculty, staff, and social workers working in the field.  Approximately a quarter of the population identifies as having a disability, yet our curriculum barely acknowledges their experiences.

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Compassionate Pedagogy and Experiential Learning

Cohort
2024
Fellow(s)

The primary goal of this project is to enhance student engagement and participation in the learning environment, especially those who have may have been marginalized by conventional approaches to teaching. This project aims to support, encourage, and train faculty to incorporate compassionate pedagogy (CP) and experiential learning (EL) into their teaching, with the goal of promoting student connection and faculty creativity.

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Offering Real-World Opportunities for Students Enrolled in Statistics and Data Science Undergraduate Research

Cohort
2023
Fellow(s)

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.