Webinar #1

AI 101 for Higher Education:
What Every Educator Needs to Know

March 4, 2026

1:00pm: 1:45pm (ET) / 12:00 - 12:45pm (CT)

Webinar #2

Academic Integrity in the Age of AI:
Rebuilding Trust in Learning

April 1, 2026

1:00pm: 1:45pm (ET) / 12:00 - 12:45pm (CT)

 Overview:

Artificial intelligence is reshaping higher education, but many faculty and staff are unsure where to start. This session provides a clear, nontechnical introduction to AI in teaching and learning, exploring its current uses, future potential, and what every educator should understand to make informed, ethical decisions. 

Learning Objectives:

After attending this webinar, faculty will be able to:

1. Differentiate between generative and agentic AI in the context of higher education.
2. Explain the primary academic uses of commonly adopted AI tools in higher education.
3. Articulate an informed instructional mindset for responding to the growing presence of AI in higher education.

 Overview:

As AI tools become embedded in academic work, questions about honesty, authorship, and assessment are at the forefront. This webinar examines how institutions can uphold academic integrity through redesigning assignments, rethinking assessment, and fostering a culture of transparency and trust.

Learning Objectives:

After attending this webinar, faculty will be able to:

1. Apply principles of assignment redesign to strengthen academic integrity in AI-integrated courses.
2. Implement assessment strategies that emphasize process, reasoning, and evidence of learning rather than product alone.
3. Establish clear AI expectations that promote transparency, accountability, and shared responsibility in their courses.

Webinar #3

AI as a Learning Partner:
Helping Students Think, Create, and Learn More Deeply

May 6, 2026

1:00pm: 1:45pm (ET) / 12:00 - 12:45pm (CT)

Webinar #4

Teaching with AI:
Designing AI-Aware Learning Experiences

June 3, 2026

1:00pm: 1:45pm (ET) / 12:00 - 12:45pm (CT)

 Overview:

 Instead of viewing AI as a shortcut, this session explores how it can become a catalyst for deeper learning. Participants will see practical examples of how AI can support critical thinking, creativity, and reflection while maintaining the focus on authentic intellectual growth. 

Learning Objectives:

After attending this webinar, faculty will be able to:

1. Design learning activities that position AI as a tool for critical thinking rather than content replacement.
2. Structure AI-supported tasks that promote creativity, reflection, and intellectual engagement.
3. Leverage AI to create more individualized and personalized learning experiences that support diverse student needs.

 Overview:

Effective teaching in the AI era requires clarity, intentionality, and creativity. This webinar highlights practical strategies for integrating AI into course design and classroom practice while setting clear expectations that help students engage responsibly with emerging technologies.

Learning Objectives:

After attending this webinar, faculty will be able to:

1. Define the essential evidence of learning an assignment must produce before making AI integration decisions.
2. Determine the appropriate level of AI involvement for an assignment using a structured decision-making continuum.
3. Redesign assignment prompts and grading criteria to align AI use with learning goals and clear student expectations.

Webinar #5

The Faculty Role in an AI-Driven Academy: Staying Human in a Machine Age

July 1, 2026

1:00pm: 1:45pm (ET) / 12:00 - 12:45pm (CT)

Webinar #6

Leading Institutional Change:
Building an AI-Ready Campus Culture

August 5, 2026

1:00pm: 1:45pm (ET) / 12:00 - 12:45pm (CT)

 Overview:

AI is transforming the academic landscape, but the heart of education remains human. This session invites reflection on the evolving role of faculty as mentors, assessors, and creators of meaningful learning experiences in an era of automation and acceleration. 

Learning Objectives:

After attending this webinar, faculty will be able to:

1. Articulate how the faculty role shifts in an AI-driven academic environment.
2. Identify instructional practices that amplify uniquely human contributions such as mentorship, judgment, and disciplinary reasoning.
3. Intentionally prioritize human-centered teaching strategies that strengthen connection, dialogue, and intellectual growth in AI-integrated courses.

 Overview:

AI adoption in higher education extends far beyond the classroom. This webinar offers a strategic view of how leaders can create supportive structures, build AI literacy across campus, and foster a shared vision that balances innovation with academic mission and values.

Learning Objectives:

After attending this webinar, faculty and academic leaders will be able to:

1. Identify structural supports needed to foster responsible and sustainable AI adoption within their department or institution.
2. Contribute to the development of shared AI literacy expectations for faculty, staff, and students.
3. Advocate for AI integration strategies that align innovation with institutional mission, academic integrity, and disciplinary standards.