Individual Fellow Initiatives
Archived Initiative
This initiative has been archived in compliance with University policies and legal requirements related to communications and web presence.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.
Data Analysis Tools: Integrating Computational and Statistical Techniques in the Environmental Engineering Curriculum
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.
Curiosity to Question: a Multidisciplinary Open-Inquiry Course Focused on Research Design
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.
Peer Learning Assistant Program Guidelines and Curricula
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