Individual Fellow Initiatives

Displaying 1 - 6 of 6
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Does Increasing Course Depth While Reducing Breadth Improve Learning in College Students?

Cohort
2024
Fellow(s)

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.

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Archived Initiative

Cohort
2020
Fellow(s)

This initiative has been archived in compliance with University policies and legal requirements related to communications and web presence. If you have questions about this initiative, or any others, please reach out to the Center for Teaching and Learning for more information.

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Data Analysis Tools: Integrating Computational and Statistical Techniques in the Environmental Engineering Curriculum 

Cohort
2018
Fellow(s)

The goal of this project is to train the next generation of environmental engineers in computing and statistical techniques to solve big data problems. Current undergraduate students in the Department of Civil, Architectural and Environmental Engineering have little to no exposure to computational and statistical methods for data analysis (e.g., big data collected from sensor networks). I proposed to integrate computational techniques in several courses throughout the Environmental Engineering Degree.

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Freshman Opportunities for Research in the Geosciences (FORGe)

Cohort
2017
Fellow(s)

I am working on a unique partnership between Austin Community College (ACC) and UT Austin to develop collaborative peer learning communities (PLCs) in the Geosciences with mixed cohorts of two-year college (2YC) and four-year college (4YC) students.

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Curiosity to Question: a Multidisciplinary Open-Inquiry Course Focused on Research Design

Cohort
2016
Fellow(s)

Hands-on research experiences for undergraduates offer unique active-learning experiences with real-world questions. These experiences create communities and improve 4-year graduation rates. They may also help create a student body and alumni population that recognize the importance of the research mission of large R1 universities.

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Peer Learning Assistant Program Guidelines and Curricula

Cohort
2015
Fellow(s)

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