We publish findings from our research in scholarly journals to advance the field of teaching and learning research in undergraduate education and publish reports on our findings to support decision-making at Michigan State University. Many of these works were created by the Evidence-Driven Learning Innovation (EDLI) team. This organization preceded the creation of CERA.
Blended Courses Learning Outcomes
Compares student learning outcomes and their engagement in course activities based on whether they attended online or in-person.
Zhuang, M., Kirby, C., Stoltzfus, J. R., Krueger, K., Liu, J., Mias, G., & Parkin, K. (2026). Comparing Online and In-Person Learning Outcomes with Synchronous Hybrid Instruction: A Natural Experiment During COVID-19. Journal of Science Education and Technology, 35(3), 795–809
Midsemester Feedback for Actionable Course Transformation (MidFACT) Course Evaluations
Provides structured midsemester feedback, allowing educators to understand what’s working well and what needs adjustment while the course is still in progress. You can also view a sample report.
David Pandya Kumar, J. A., Sun, H., Van Hof, J., & Vandepol, N. (2025). Midsemester course feedback from students as reflective practice: A pilot exploratory study on instructors’ and students’ insights. Innovations in Education and Teaching International, 1–14.
AI Ethics Training Module Evaluation
Demonstrates the effectiveness of an AI ethics training module developed for undergraduates in partnership with MSU’s Center for Ethical and Socially Responsible Leadership.
Sun, H. (2026). AI Ethics Student Module Evaluation: Examining changes in students' experiences, confidence, and learning behaviors related to the use of AI tools in academic settings. Knowledge Commons.
Developing Educators’ Approaches to Generative AI
Guides undergraduate educators through key considerations in revising their teaching to account for the availability of generative AI.
Kirby, C. K., Zhuang, M., Tetu, I. C., & Thomas, S. (2024). Developing Your Approach to Generative AI. The Scholarly Teacher.