Practical AI Tools for Teaching and Learning

An engaging, practical webinar for educators who want to use artificial intelligence with greater confidence, creativity, and efficiency.

Complimentary registration
— open to educators at all levels of AI experience.

Webinar Details

Date: Wednesday, October 7, 2026

Time: 12:00 AM – 1:00 AM Pacific Time

Platform: Live on Zoom

Cost: Complimentary

Presenter: Patrick Neyland

Format: 50-minute presentation + 10-minute live Q&A

Registration Deadline: Sunday, October 4, 2026

Discover Practical Ways to Bring AI Into Your Teaching

Artificial intelligence is rapidly changing the way educators plan, create, assess, and engage with students. But with so many AI tools available, knowing what is genuinely useful — and how to use it effectively — can be challenging.

Join Patrick Neyland for this complimentary live webinar exploring practical AI tools for teaching and learning.

Whether you are just beginning to explore AI or already experimenting with it in your teaching, this session will demonstrate useful ways artificial intelligence can support your everyday work.

What You’ll Learn

During this one-hour webinar, you’ll explore practical ways AI can support your teaching, including:

✓ Course and lesson planning — use AI to organize ideas and develop learning activities.

✓ Creating teaching and learning materials — generate examples, explanations, exercises, and supporting resources.

✓ Supporting student engagement — explore ways AI can help create more interactive learning experiences.

✓ Assessment and feedback — discover ways AI can assist while maintaining educator oversight.

✓ Everyday teaching productivity — reduce time spent on repetitive tasks and focus more energy on students.

Who Should Attend?

This webinar is designed for faculty, instructors, teachers, lecturers, academic leaders, instructional designers, teaching and learning professionals, and other educators interested in understanding how AI can support their work.

No advanced AI or technical experience is required.

Webinar Format

Patrick Neyland

Patrick Neyland is a doctoral researcher in accounting at Arizona State University, where his research focuses on artificial intelligence and accounting. He is currently taking leave from his doctoral program to focus on the practical application of AI, working with Neyland Solutions to help organizations implement AI to improve operations, productivity, and revenue growth.

Patrick’s work bridges academic research, technical expertise, and real-world AI implementation. He holds a master’s degree in Financial Economics from Utah State University, where his studies expanded into machine learning, deep learning, and textual analysis following the emergence of generative AI. He also contributed to the development of FiscalSim, a Python-based policy microsimulation model. He holds a bachelor’s degree in accounting from Utah Valley University.