The Ethics Institute at MSU
The Ethics Institute serves as the central hub for ethical guidance, collaboration, and community engagement around AI in research, education, and university practices at Michigan State University. From convening the university’s AI Summit to supporting the development of guidelines, research, and faculty working groups, the Institute has led efforts to ensure MSU’s approach to AI is thoughtful, inclusive, and aligned with our institutional values. By bringing together voices from across disciplines, the Ethics Institute fosters dialogue and shapes practices that prioritize equity, responsibility, and innovation in the age of automation.
Evidence Driven Learning Initiative (EDLI)
The Evidence Driven Learning Innovation (EDLI) research center is a collaboration of educators and researchers in the Colleges of Arts and Letters, Business and Natural Science, MSU Libraries, and MSU IT. Our mission is to humanize the digital learning experience and use a values-driven approach to develop and evaluate digital pedagogies and technologies for 21st-century learning.
Center for Education and Emerging Technologies (CEET)
The integration of Artificial Intelligence (AI) in STEM education marks a revolutionary shift in pedagogical methods and learning outcomes. AI's role in customizing and enhancing educational experiences is paramount. The Center for Education and Emerging Technologies explores and pushes forward the use of AI in STEM Education.
Michigan State University AI Research (MAIR)
The Michigan State University AI Research (MAIR), housed within the Department of Computer Science and Engineering (CSE) at Michigan State University (MSU), holds a distinguished position in the dynamic field of Artificial Intelligence (AI). With a rich history of innovation and a commitment to pushing the boundaries of technology, MAIR provides a hub of creativity and discovery in AI research. Led by a diverse team of renowned experts, MAIR endeavors include a wide range of research domains, spanning biometrics, computer vision, data mining, natural language processing, and machine learning.
Faculty and Staff Spotlights
Melanie Cooper
Professor and Lappan-Phillips Professor of Science Education, Department of Chemistry
Melanie Cooper, professor of chemistry and Lappan-Phillips Professor of Science Education, is a renowned education scholar who has focused her career on improving teaching and learning in large-enrollment general and organic chemistry courses and is a leader in evidence-based curriculum reform. Cooper holds joint appointments in the MSU Departments of Chemistry and Teacher Education, and is a faculty member of the CREATE for STEM Institute.
- Let’s Use the Affordances of AI to Move Beyond Business as Usual
- How can we use generative AI to support and engage students?
- Let Us Not Squander the Affordances of LLMs for the Sake of Expedience article in the Journal of Chemical Education
Learn more about Melanie and her work on the Department of Chemistry website.
