Teaching Grants

Curriculum Innovation Grants 

With the school launching new and redesigned degree programs, there is an exciting opportunity for faculty to rethink existing courses, integrate courses across departments, and develop new courses. This grant supports faculty efforts to develop courses, modules, and pedagogical strategies that are aligned with required courses and learning experiences of our new educational initiatives.  Grants were awarded to Marcello Pagano for “StatStart: A Summer Program in Statistical Computing” (designed by doctoral students Octavious Talbot, Alex Ocampo, Kelly Mosesso, and Sam Tracy for high school students), Professor Xiaole Shirley Liu for “Introduction to Computational Biology and Bioinformatics”, and Tianxi Cai for “Flipped Class for the Advanced Statistical Inference Class.” 

Teaming Up for Transformation Grant

The school sees great potential in using a peer-group, community of practice approach to promoting teaching excellence.  This strategy is anchored by an interdisciplinary team of faculty that will attend teaching workshops and then provide constructive feedback to members of the group, using peer-coaching techniques.  The goal of this grant is to provide faculty with the opportunity to engage in a process of discovery (learning new approaches), development (experimenting and refining), and interdisciplinary peer support and community building. Congratulations to Brian Healy (and colleagues) for receiving this grant.

Transforming Learning Spaces Grant

There are two new classrooms opening in the Kresge Building that will provide flexible working space along with state-of-the-art technology to facilitate the strengthening of existing teaching strategies and the development of new strategies that promote learning. The new classrooms lend themselves to team-based learning, simulations, flipped classroom, and case-based learning. This grant is for faculty seeking to capitalize on the capabilities of the new learning spaces for their own classes and to share their efforts in a generalizable manner for implementation in other courses.  Senior Lecturer David Wypij recently received this grant for his proposal on “Experiential Learning Exercises in Biostatistical Inference.”