Members can access recorded sessions that showcase how fellow QM members are implementing and applying QM. See a listing of all sessions, then view the recording using links in the MyQM Reference Library.
A toolkit that provides research-supported recommendations and implementation strategies for integrating artificial intelligence into course design while maintaining quality educational standards. Although this guide maintains a focus on harnessing AI in teaching and learning through a practical course design lens, it is intended for multiple audiences and stakeholders.
The University of Findlay: Making the Most Out of the QM Teaching Online Certificate
Teaser/Description: Learn how the University of Findlay has used its engagement with the QM Teaching Online Certificate to meet accreditation requirements, foster cross-departmental collaboration, improve institutional policy, and more.
See the results from the tenth survey conducted by QM, Eduventures and Educause as part of the Changing Landscape of Online Education (CHLOE) project. The tenth installment of a multiyear initiative, the 2025 report covers how institutions are navigating sustained demand for online learning while facing increased competition, AI integration challenges and issues with institutional preparedness.
Learn how QM can help you put together a plan for personalized, dedicated professional development that meets your institutional goals and faculty needs — and how this helped Lutheran School of Theology at Chicago on its quality journey.
With investments in reviews, professional development and more, Valparaiso University stands as a shining example of how institutions can take full advantage of their QM memberships.
Through partnerships, professional development, research, and the development of tools, QM is your partner in integrating AI into your online course design and delivery practice. Learn about how QM and the QM community are driving the push for ethical and effective AI use.
Dr. Siobahn Day Grady and Dr. Racheal Brooks present comprehensive AI strategies for online education with evidence-based implementation approaches. Their white paper explores how artificial intelligence can transform online learning from simple automation to personalized, engaging experiences. They also provide practical guidance for educators and institutions on ethically integrating AI tools while maintaining human oversight and prioritizing student fairness and accessibility.