2025 Spring Faculty Fellows
Each semester the Center for Innovation in Teaching and Learning invites faculty to submit proposals for collaboration with CITL and LTS staff on various aspects of their pedagogy and research with the goal of providing access to staff and technology resources to enhance and advance their teaching.
For the Spring 2025 semester, we encouraged faculty to submit proposals in five particular areas:
- the use of generative AI,
- the use of virtual reality and immersive learning environments,
- the inclusion of inquiry-based learning activities and assignments,
- the creation of cross-disciplinary course moments, and
- the use of LTS flexible learning spaces to promote active learning
2025 Spring Fellows

Ho‘o Hee, MFA
Create a "Guess Who"-style game to build fluency in design terminology and styles

Thomas Chen, Ph.D.
Supporting student creative work such as bilingual children's books and TED-style talks.

Nandini Deo, Ph.D.
Integrating VR and immersive learning technologies to provide new and diverse experiences.

Lyam B. Gabel, MFA
Revise the Dramatic Action course by better aligning writing assignments with the collaborative nature of theater and integrating modern tools like digital peer editing platforms and AI.

Annabella Pitkin, Ph.D.
Collaborate with CITL to implement Inquiry-Based Learning techniques, focusing on critical thinking, analysis, and knowledge synthesis.

Teresa Cusumano, M.A., M.S. & Jessica Harbaum, M.Ed
This COIL course will utilize VR and multimodal projects to explore the impact of environment and environmental inequities on health and well-being.

Cristina Montufar, M.A.
Addressing environmental problems using student creativity and strengths, leveraging XR to create impactful PSAs.

Mike O'Neill, M.A.
Engaging students using AI art and creating thesis presentations for non-subject matter experts.

Lawrence Tartaglia, Ph.D.
Utilizing student creativity to write virology themed children's storybooks as well as creating VR environments for biology.

Wynn Meyer, Ph.D.
Integrating generative AI to help students analyze real world biological datasets.

Jong Cheol Shin, Ph.D.
This GIS and epidemiology course, currently focused on basic skills and health topics through lectures and labs, will be enhanced to include practical, real-world applications.

Danming An, Ph.D.
Integrating generative AI to address R programming challenges and the breadth of statistical methods.