Individual Fellow Initiatives

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This project organized a community of practice for instructors in the Liberal Arts Honors program in the College of Liberal Arts. This community of practice held regular meetings during the academic year to discussion teaching practices, hear from guest speakers, and to share ideas on topics that relate to program goals, student engagement and wellness, pedagogy, and promoting effective student learning.

The goal of this project is to shift the focus of a set of introductory courses, that are heavy in disciplinary content, in order to make space for greater emphasis on professional skills, such as information literacy, quantitative reasoning, communication, and others. The main challenge in accomplishing the goal is that the particular courses involved have high-enrollment—2300 undergraduates enroll in each course each year and they are taught by a team of 13 faculty. Because many faculty teach the courses, it is difficult to standardize the curriculum and the expectations across sections.

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.

This project entailed the creation of a curricular context and physical space for collaborative interdisciplinary teaching and research for faculty and students interested in Russian, East European and Eurasian studies. This was achieved in two ways. First, I transformed the required gateway course to our major, “Introduction to Russian, East European and Eurasian Studies,” which had been a disjointed “parade of faculty” course with disconnected guest speakers.