Individual Fellow Initiatives

Displaying 1 - 2 of 2
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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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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