Digital Learning Blog

Research-Supported Recommendations for Strategic AI Integration

October 07, 2025  / Digital Learning  / Tags: AI, Quality Matters

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Research-Supported Recommendations for Strategic AI Integration

By Quality Matters | Shared by FGCU Digital Learning

Artificial intelligence (AI) continues to shape how we teach, learn, and design courses. To help higher education professionals navigate this evolving landscape, Quality Matters (QM) has developed a research-supported toolkit offering clear, evidence-based recommendations for thoughtful AI integration.

At FGCU Digital Learning, we’re excited to share this valuable resource with our faculty and instructional design community as we continue exploring how AI can enhance teaching, learning, and course design.

🧭 Toolkit Overview

🚀 Immediate Actions You Can Take

    • Review the Core Principles and Implementation Strategies with your department or AI committee.
    • Assess your current course design and policies against QM’s recommendations.
    • Pilot the Self-Review Rubric in a few courses.
    • Adapt QM’s sample plan for upcoming faculty development initiatives.

👉 Explore the full QM Toolkit and overview video here:
Quality Matters: Research-Supported Recommendations for Strategic AI Integration

At FGCU Digital Learning, we’re committed to supporting faculty as we navigate this new era of teaching with AI—grounded in quality, innovation, and student success. Visit our Digital Learning Professional Development Offerings page to register for upcoming workshops, resources, academies, and book clubs focused on best practices with AI.
If you have any questions or would like help applying these strategies, reach out to your Instructional Designer—we’re here to help!