蜜桃传媒

Teaching and Learning Center

Faculty Showcase: Teaching and Learning in AI

AL image

Join us for a hands-on exploration of how faculty are using artificial intelligence to rethink teaching, learning, assessment, and course design. Throughout the showcase, 蜜桃传媒 faculty from a variety of disciplines will share practical examples, classroom strategies, and lessons learned from incorporating AI into their teaching.

Friday, November 13, 2026
10:30 a.m. - 3:30 p.m.
Field House, Room 2100, Main Campus

Campus Directions/Map

Register Now


Showcase Schedule

Morning: AI in Teaching Practice聽

Time

Presentation

10:30鈥�10:40 a.m.

Welcome

10:40鈥�11:00 a.m.

AI and Writing: Keeping the Student in Control
Bashar Al Hariri, MBA, M.A.聽 |聽 Department of English Language and Literature

11:00鈥�11:20 a.m.

If You鈥檙e Lazy Like Me and You Know It...

Using Microsoft Copilot to Turn Human Expertise into Better Course Materials, Faster
Dr. Fred Ahrens聽 |聽 Department of Information Systems and Supply Chain Management

11:20鈥�11:30 a.m.

Break

11:30鈥�11:50 a.m.

Beyond Chatbots: AI Role-Play for Learning in Blackboard Ultra Courses
Dr. Peter You聽 |聽 蜜桃传媒 Online

11:50 a.m.鈥�12:10 p.m.

Teaching AI Design Principles
Dr. Matthew Lindia聽 |聽 Department of Communication and Media

12:10鈥�12:40 p.m.

Beyond 鈥淎llowed鈥� or 鈥淧rohibited鈥�: Using the AI Assessment Scale to Design Responsible AI Assignments
Dr. Joan Wakasa Murumba聽 |聽 University Libraries

Lunch

12:40鈥�1:25 p.m.

Afternoon:聽 Rethinking Learning with AI

Time

Presentation

1:25鈥�1:45 p.m.

Don't Become the Tool: Cultivating Mindful AI Use Through the Humanities
Dr. Ashley Pryor聽 |聽 Department of Philosophy and Religious Studies

1:45鈥�2:15 p.m.

My Most Meticulous Teaching Assistant Isn鈥檛 Human: How AI Helps Me Question My Questions
Dr. Susanne Nonekowski聽 |聽 Department of Medicinal and Biological Chemistry

2:15鈥�2:25 p.m.

Break

2:25鈥�2:45 p.m.

From Information to Transformation Through AI as a Learning Partner in Engineering Education
Dr. Carmen Cioc聽 |聽 Department of Mechanical Engineering Technology

2:45鈥�3:15 p.m.

An AI-Aware Education
Dr. Arun Nadarajah (蜜桃传媒 of Engineering), Dr. Defne Apul (Department of Civil and Environmental Engineering), and Dr. Ashley Pryor (Department of Philosophy and Religious Studies)

3:15鈥�3:30 p.m.

Closing Remarks

What to Expect

Attendees can expect to:

  • See AI in action through real examples of how faculty are using tools such as Microsoft Copilot and AI-powered role-play in their courses.
  • Explore new approaches to writing and assessment that keep students actively engaged and in control of their learning.
  • Discover practical ways to use AI to create course materials, support learning, and enhance instructional practices.
  • Consider responsible and intentional AI use, including how to move beyond simply allowing or prohibiting AI in assignments.
  • Learn across disciplines as faculty from the humanities, business, communication, engineering, chemistry, libraries, and online education share their experiences.
  • Rethink the role of AI in learning, including how AI can serve as a learning partner, teaching assistant, design tool, or catalyst for deeper student thinking.
  • Engage with emerging questions about AI-aware education, including how educators can help students develop the judgment and skills needed to use AI thoughtfully.

The day is designed to move beyond the question of 鈥淐an we use AI in teaching?鈥� toward a more meaningful conversation: 鈥淗ow can we use AI to create better learning experiences while keeping human expertise, student agency, and learning at the center?鈥�