AI in the Open: Real-World Practices in Teaching and Learning

Artificial intelligence is reshaping open education, but not in a single, unified way. From accessibility infrastructure to student-led exploration to everyday pedagogical practice, AI is showing up differently across contexts, with different promises and tensions. This panel brings together three practitioners whose work anchors distinct yet interconnected approaches to AI in open educational resources.

The different AI in open education use cases we’ll explore:

AI as accessibility infrastructure —Taking a look at Accessibility by Design we’ll explore how agentic workflows can transform the accessibility checking process, making inclusive design more scalable and systematic

AI as a student learning tool — Taking a look at Learning With AI: A Student Edited Collection we’ll see what happens when students themselves explore, critique, and co-create with AI, and what that reveals about learning in an AI-augmented world

AI in pedagogical practice — Taking a look at Generative Artificial Intelligence: Practical Uses in Education we’ll explore how educators are integrating generative AI into teaching contexts, balancing practical application with critical awareness

We’ll also explore where these three approaches converge, where they diverge, and what that means for the future of open education

Who Should Attend:
Educators, instructional designers, open education practitioners, accessibility specialists, and anyone curious about how AI is actually being used—not just talked about—in open educational contexts.