Research-Supported Recommendations for Strategic AI Integration

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

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.

2025 CHLOE 10 Report

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.

White Paper | From Automation to Transformation: AI Strategies for Personalized, Engaging and Inclusive Online Course Design

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.