Individual Fellow Initiatives

Displaying 1 - 5 of 5
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Offering Real-World Opportunities for Students Enrolled in Statistics and Data Science Undergraduate Research

Cohort: 2023
Fellow: Layla Guyot

There is a need for offering data analysis support to our local communities. While many undergraduates
enrolled in our courses have expressed interest in conducting data analysis research projects, our department
doesn’t currently have a systematic way to offer these types of experiences. Thus, the primary goal of this
community-based service project is to provide both experiential learning and research opportunities for
undergraduates while supporting the broader Austin-area. Specifically, this project will coordinate with local

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Teaching Law and Religion

Cohort: 2023
Fellow: Samy Ayoub

The aim of my proposed project is then the integration of the seemingly disparate studies of law and
religion. The study of both is an important branch of comparative law and global legal history that I aim

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The Collaboratory: Interdisciplinary, Arts-based Pedagogy for Use in New and Emerging Learning Environments

Cohort: 2016
Fellow: Michelle Habeck

One of the top concerns from many employers is that college graduates lack the “soft skills” (collaboration, team-based skills)and professionalism they require. Collaboratory students will have the opportunity to master the latest skills in their field and develop “soft skills” like creative problem-solving problem solving and communication to help them thrive over the course of their careers.

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Peer Learning Assistant Program Guidelines and Curricula

Cohort: 2015
Fellow: Cynthia LaBrake

The Peer Learning Assistant Program within the Department of Chemistry is a program developed with resources from the Provost Teaching Fellows program to enhance the educational experience of students taking general chemistry by training and employing Peer Learning Assistants (PLAs) to service large blended general chemistry courses.  The large (300 –500 students) blended courses have replaced the straight lecture model with active, student centered, learning.  Active learning requires coaching and in a large class it is impossible to implement with only one instructor and one tea

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Bevosourcing: Tools to Involve Students in Citizen Science and Online Data Publication

Cohort: 2015
Fellow: Adam Rabinowitz

Digital archives and the internet have made it possible for non-experts to make major contributions to research through crowdsourcing and citizen science. UT has fascinating and important collections of primary sources for the humanities, many of which have been digitized. But before my PTF project, there were no digital tools at UT to facilitate crowdsourcing as a pedagogical strategy, engaging students with historical documents while enriching the collections themselves. The project therefore proposed to develop two UT-based crowdsourcing platforms.