AI @ WMU
Your Resource for Navigating Artificial Intelligence (AI) in Teaching and Learning
WMU Teaching and Learning, in partnership with a number of Western Michigan University experts, can help you learn more about recent developments in Generative Artificial Intelligence (AI) that are impacting how we teach and research in higher education.
Just beginning to learn about AI? Consult our Quick Start AI Guide that provides an overview, information on prompting, citation, ethics, and syllabus statements.
Concerned about academic integrity? Instructors are encouraged to remind learners of the institution’s policies on academic honesty and to direct their questions about the process that WMU has in place to resolve issues of academic honesty to the Office of Student Rights and Responsibilities. For information on communicating your AI policies or working with your students to develop a policy, you can consult this resource: Establishing AI Policies for Your Classroom.
Factoring AI as you prepare for teaching, research, or creative activity? Consult our Teaching with AI articles, resources and events or contact us for a one-on-one consultation.
Teaching with AI
When considering the many new and ever-changing AI tools, their ubiquitous and exponential nature can make it difficult to know where to start and how they might be best used in the classroom. One way to approach Large Language Model (LLM) AIs like ChatGPT and Claude 2 is to think of them as assistants or thought partners. Explore articles on teaching with AI.
In spring 2025, WMU Teaching and Learning awarded a series of AI Teaching Innovation Mini-Grants to select faculty to support the development and piloting of AI-integrated teaching innovations. Each grant supports the implementation of one innovation in a course taught during Summer I, Summer II, or Fall 2025. By December 2025, recipients will share their outcomes through a conference presentation or a WMU Teaching and Learning-sponsored teaching and learning workshop.
Recipients of the 2025 AI Teaching Innovation Faculty Mini-Grants include:
Wassnaa Al-Mawee, Faculty Specialist I, Computer Science
Dustin Altschul, Faculty Specialist I, Richmond Institute of Design and Innovation
Rodrigo Aranda, Assistant Professor, Economics
W. Jason Beasley, Assistant Professor, Economics
Jessica Cataldo, Faculty Specialist I, School of Interdisciplinary Health Programs
Kate Connor, Assistant Professor, Special Education and Literacy Studies
Scott Cowley, Associate Professor, Marketing
Robyn Edwards, Assistant Professor, SPLS
Angela Groves, Assistant Professor, Bronson School of Nursing
Eric Harvey, Assistant Professor, Marketing
Marie Moreno, Faculty Specialist I, Business Information Systems
Rika Saito, Professor, World Languages and Literatures
Resources
Explore our curated list of resources on Generative AI to learn about:
- Defining AI, Machine Learning, Generative AI, and AI Agents
- Prompting, Teaching, and Assessing Student Work in the AI-era
- The AI Industry, Innovation and Regulations
- AI Syllabus Statements/Academic Integrity
- Higher Education Reactions to AI: Instructors and Students Respond
- AI Ethical/Privacy/Employment Considerations
- AI and Anti-Bias, Anti-Racist (ABAR)/Accessibility Concerns
- Citing AI/Authorship Dilemmas
Events
Did you miss an AI @ WMU event? No problem! Access all session materials and event recordings in our Teaching and Learning event archive.