Reports
This framework is designed to help educators communicate clearly with students about their expectations for generative AI use in course assignments and activities. It provides a simple, transparent way to set boundaries and ensure consistency across teaching.
This report includes a step-by-step guide to the Institutional Review Board (IRB) process for generative AI research.
Generative artificial intelligence tools are rapidly reshaping higher education. Yet many instructors lack the guidance, time, and resources needed to address the ethical implications of these technologies in their teaching. To address this gap, the Generative AI Ethics Module Design Sprint for STEM Educators was implemented as a three-day hyflex workshop hosted at MSU.
This work compared two educational software systems, PlayPosit and H5P, in collaboration with MSU Information Technology to inform future software license investment. Read the report to learn more.
This work summarizes graduate students' outcomes and experiences in the 2025 Colleges Online Learning Academy cohort, a summer fellowship dedicated to digital teaching and learning.
This work summarizes MSU student engagement with Khanmigo, Khan Academy's Generative AI tutoring tool, in 2025.
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