Fall 2024 General Offerings
Prepares you to apply generative AI (gAI) technology efficiently, effectively, and ethically to level up learning in the classes you teach. Online and asynchronous.
Topics covered include:
- Overview: How does gAI work?
- Ethics & Responsible Use
- What Can AI Do?
- Findings Apps
- Prompt Engineering Activities
Using AI as Your Faculty Assistant to Reimagine Course Concepts
Facilitated by Dr. Shelli Wynants
Each 30-minute synchronous Zoom session will start with the same material about accessing a couple of common Generative AI models & basic prompting tips. The live demo example will change across sessions -
Use AI for simplified explanations and everyday analogies (30-minute certificate credit)
Use AI to add diversity to your existing case studies/scenarios, quiz questions, etc. (30-minute certificate credit)
Use AI to generate basic and applied quiz questions on web pages, articles, & documents. (30-minute certificate credit)
Use AI to generate simple images to add to your Canvas page, course assignment document, PowerPoint/Google slides, etc. (30-minute certificate credit)
AI LinkedIn Learning Pathways (Online and Asynchronous)
New to LinkedIn? Read this
article on how to access LinkedIn Learning
with your CSUF username.
Explore the fundamentals of generative AI, its applications, and the ethical considerations surrounding bias in this 2.5-hour LinkedIn video series designed for staff and faculty. (2.5-hour certificate credit)
Advance your skills in generative AI with this intermediate 3-hour LinkedIn video series, designed for staff and faculty to enhance aptitude, communication, and critical thinking with AI. (3-hour certificate credit)
- Thursday, August 15, 2024 - Sunday, August 25, 2024, 8:00am - 11:59pm
In under an hour, this asynchronous WAC LIAISONS workshop will guide faculty through adapting their syllabi academic integrity policies for the presence of AI. Policy definitions, expectations, rationale, guidance, and repercussions will be modeled and explained. (1-hour certificate credit)
- Thursday, August 15, 2024 - Sunday, August 25, 2024, 8:00am - 11:59pm
Attempts to evade and detect generative AI use in coursework are never foolproof. To ensure student learning, we can adapt our assignments to better engage students. Focusing on longer assignments and projects, this asynchronous workshop introduces six strategies for reducing AI use in your favorite major assignments. (1-hour certificate credit)
- Wednesday, August 28, 2024 - Sunday, September 01, 2024, 8:00am - 11:59pm
Take this asynchronous workshop at your own pace. Learn some of the promises and perils of AI chatbots, explore ways to support critical thinking about AI in class, and draft your own in-class AI-infused activity for feedback. (1-hour certificate credit)
- Friday, February 21, 2025, 8:00am - 5:00pm
The “AI and Academia” conference will convene faculty, administrators, and staff dedicated to learning more about AI in education. Panel presentations, roundtable discussions, and a keynote speaker will explore the possibilities and challenges of generative AI on campus.
Fall 2024 STEM Offerings
Part one of a four part workshop series facilitated by Tina Austin: Teaching STEM in AI Era: What does reponsible use mean? Learn about the Top Things AI Can Do, But Shouldn’t Be Doing in the Science Classroom. For more details please see the Responsible AI Use in STEM Education flyer. (1-hour certificate credit)
Part two of a four part workshop series facilitated by Tina Austin: Should you integrate Gen AI into STEM curriculum design with the latest tools? For more details please see the Integrating AI into STEM Curriculum Design flyer. (1-hour certificate credit)
Part three of a four part workshop series facilitated by Tina Austin: What is AI literacy when teaching STEM? For more details please see the Devloping AI Literacy for STEM Faculty and Students flyer. (1-hour certificate credit)
Part four of a four part workshop series facilitated by Tina Austin: Through interactive exercises, participants will learn to leverage AI-driven data analysis to enhance their research, from handling large datasets to uncovering new insights in their STEM fields. For more details please see the AI Tools for Data Analysis in STEM Research flyer. (1-hour certificate credit)
