AI Workshops for Students

The AI Teaching and Learning Lab offers free workshops designed by CSU faculty, staff, and administrators to help students explore artificial intelligence, build practical skills, and think critically about AI. Our workshops take an honest, curious approach to AI. We explore the possibilities, questions, challenges, and everything in between! Workshops are open to students of all experience levels, and even better, no prior AI knowledge is required. 

These short, practical, and interactive sessions explore topics such as AI for writing, research, and studying; prompting strategies; responsible AI use; and more.

Upcoming Fall 2026 AI Workshops

More information coming soon!

Past Workshops: Spring 2026

This session explores the crucial inflection point—the moment you decide whether or not to use AI. We’ll discuss how to integrate AI responsibly while maintaining critical thinking, honoring course policies, navigating ethical dilemmas, and protecting personal privacy. Learn how to use AI as a thoughtful partner—not a substitute for your own mind. Thursday, March 19 | 11:30–12:20 
Presented by: Ángel L. Reyes-Rodríguez, Ph.D., Senior Assistant Dean, Academic Success and Enhancement and David W. Haas, M.A., Assistant Dean of Students 

This interactive workshop introduces currently available AI tools and explores how to frame prompts, assess AI-generated outputs, use AI ethically, and properly cite AI assistance in academic work. Thursday, April 2 | 11:30–12:20 
Presented by: Rachel Rickel, Visiting Assistant College Lecturer, First-Year Writing 

Through a series of hands-on experiments, this interactive workshop examines the capabilities and limitations of AI-generated text. Participants will explore how predictive algorithms differ from human cognition, why chatbots excel at stylistic imitation yet falter with emotional depth and complexity, and what happens when prompts are poorly constructed.  Through interactive exercises, participants will experiment with “broken prompts,” compare human and machine writing in persona-driven challenges, and hunt down AI hallucinations.  Along the way, we’ll discuss what works, what fails, and why it matters. Weds, Feb. 11 at 11:30-12:30  
Presented by: Joseph Kane, Visiting Assistant College Lecturer in the First-Year Writing Program  

Past Workshops: Fall 2025

This interactive workshop is designed to find that balance. We will move from personal reflection (pondering what we might lose if we let AI do our thinking for us) to navigating permission structures (investigating what our institutions, instructors, and assignments allow). Most of our time will be spent working together, discussing strategies for verifying AI-generated content, avoiding plagiarism, and citing or attributing AI content responsibly. You’ll leave with a clear framework for making thoughtful choices about AI's role in your writing—and the confidence to use it as a support for your growth, not a substitute. Thursday, September 25 at 11:30am - 12:30pm
Presented by: Dr. Kyle L. Barron, Writing Center Director and Associate Lecturer, Department of English

In this hands-on workshop, students will explore six evidence-based learning strategies rooted in cognitive psychology—such as retrieval practice, spaced repetition, and elaboration. Then, using AI tools, they’ll design personalized study aids that align with these strategies to boost retention, deepen understanding, and make studying more efficient. This workshop is perfect for students looking to optimize and expand their study skills and explore new learning tools. Be sure to bring a computer to this interactive AI workshop; registration is required. Thursday, October 9 at 11:30am - 12:20pm 
Presented by: Dr. Erin Avram, Associate College Lecturer, Department of Chemistry

Artificial Intelligence is changing the way we do research — from speeding up literature reviews to generating data analysis. In this interactive workshop, we’ll explore some of the strengths and limitations of using AI tools in academic research. Whether you're curious about ChatGPT, data-driven insights, or ethical concerns, this session will help you think critically about where AI fits (and where it doesn’t) in your research journey. Thursday, November 13 at 11:30am - 12:20pm
Presented by: 

  • Dr. Conor T. McLennan, Associate Dean, College of Arts and Sciences and Professor, Department of Psychology, Director, Language Research Laboratory
     
  • Dr. Michael Horvath, Professor and Associate Chair, Department of Psychology
     
  • Mandi Goodsett, Performing Arts & Humanities Librarian, Michael Schwartz Library
     
  • Bethany G. Cox, Doctoral Candidate, Department of Psychology, Language Research Laboratory