The AI in Teaching and Learning Showcase highlights how faculty are integrating AI into their teaching, research, and creative work to enhance learning and engagement. This growing collection features AI-powered assignments, activities, and pedagogical strategies designed to support innovative and effective instruction across disciplines.

Explore the Showcase

Teaching & Learning
  • AI-driven assignments and projects
  • Interactive tools and adaptive learning strategies
  • Real-world AI applications in coursework
Pedagogical Strategies
  • AI-supported teaching frameworks
  • Ethical considerations and best practices
  • Cross-disciplinary and creative applications
Educational Impact
  • Enhancing student engagement and learning outcomes
  • Challenges and opportunities of AI in education
  • Faculty insights on AI’s evolving role in teaching
We Invite You to Contribute!

We welcome submissions that highlight innovative and effective uses of AI in teaching, research, and creative work. Submissions should demonstrate meaningful integration of AI to enhance learning, engagement, or scholarly practice.

Who Can Submit?

  • Faculty, instructors, and researchers from any discipline.

What to Submit?

We are looking for examples of AI use in teaching, research, and creative work, including but not limited to:

  • Assignments & Activities: AI-powered assignments, interactive exercises, or class projects that engage students in learning with AI.
  • Pedagogical Strategies: Approaches to incorporating AI into curriculum design, assessment, or instructional methods.
  • Research Applications: AI-enhanced research methodologies, tools, or case studies that demonstrate scholarly applications of AI.
  • Creative Uses of AI: AI-driven media, design, or storytelling approaches that support learning and scholarship.

Submission Process & Deadlines

Selection & Review Process

  • Submissions will be reviewed for clarity, relevance, and innovation.
  • Contributors will be notified if their submission is selected for inclusion.
  • Selected contributions may be lightly edited for clarity and consistency.
  • If selected, your submission will be recognized as published teaching scholarship