In response to the evolving education technology landscape, ITS Teaching & Learning is spearheading a new workshop series to integrate Generative Artificial Intelligence (GenAI) into academic practices. The series aims to equip our academic community with the requisite skills for leveraging GenAI in teaching and learning and professional and personal productivity. This workshop series, developed in collaboration with U-M's Teaching and Technology Collaborative (TTC), aims to streamline the understanding and application of GenAI concepts across faculty, staff, and students.
Visit the Instructional Support Workshops page to register for upcoming live workshops.
Beginner Workshops
This workshop is designed for instructors, students, and staff interested in learning the basics of generative artificial intelligence and its applications in academic and everyday settings. Attending this workshop will give participants a basic understanding of common GenAI tools and its relevance to various educational and professional contexts. Additionally, participants will be introduced to high-level privacy, ethical, and equity issues, which will prepare users for further extensive training opportunities.
Workshop Outline:
- What is GenAI?
- Unpacking key concepts and terminology
- Capabilities and limitations
- Use cases for faculty, staff, and students
- Academic Integrity
- Equity and Bias Concerns
- Privacy and Legal Concerns
Topics: Generative AI
Level: Beginner
Trainer: Nargas Oskui, Nichole Marbury, Monica Hickson
This workshop is designed to equip faculty with the necessary skills and knowledge to begin integrating Generative Artificial Intelligence into the classroom setting and considering its impact on students and instructions. Suggestions for discussing GenAI with students and guidance on writing a GenAI syllabus statement are explored in this workshop. This workshop also offers ideas for designing assignments in a GenAI era, ranging from (re)designing assignments to integrating GenAI into assignments. U-M GPT demonstrations will be included in this workshop.
Recommended Prerequisites: Generative AI Basics
Workshop Outline:
- Can GenAI complete my assessment? How will GenAI affect my courses?
- Talking about GenAI with students
- GenAI syllabus statements
- Designing assignments in a GenAI era
- Resources and Support
Topics: Generative AI
Level: Beginner
Trainer: Angela Marocco and Kalpana Joshi
This hands-on, interactive workshop introduces faculty and staff to U-M GPT, U-M’s equitable, accessible, and secure text-based Generative Artificial Intelligence tool, and provides an overview of the 60+ ChatGPT Assignments to Use in Your Classroom Today Book Guide. During the workshop, attendees will learn how to craft effective GenAI prompts and try out chatbot teaching activities from the book guide.
Recommended Prerequisites: Generative AI Basics
Workshop Outline:
- Introduce U-M GPT
- Prompt Literacy introduction
- Introduce the 60+ Assignment Prompts guide
- Explore prompt types in break-out rooms
- Write your own prompt activity
- Wrap-up & share resources
Topics: Generative AI
Level: Beginner
Trainer: Angela Marocco, Jennifer Love, Carson Waites, Siba El Dallal, Sarah Noah
Spark your Digital Creativity! Curious about Generative AI and how it’s integrated into Adobe products? Learn how to write descriptive prompts to quickly and easily generate extraordinary image content with Adobe Firefly and DALL-E 3 in U-M GPT. No experience is needed. As a reminder, Michigan is an Adobe Creative Campus which gives students, faculty, and staff access to Adobe Creative Cloud and Adobe Stock for free!
To ensure a smooth start and make the most of our session, we highly recommend logging into Adobe Firefly at least 15 minutes before the workshop begins.
Recommended Prerequisites: Generative AI Basics
Workshop Outline:
- GenAI overview
- GenAI text to image creation
- Imagery prompting
- U-M GPT Dall-E 3
- Adobe Firefly overview
- Firefly demo and hands-on exercises
- Text to image
- Generative fill
- Adobe resources
Topics: Generative AI, U-M GPT, DALL-E 3, Adobe Firefly
Level: Beginner
Trainer: Kristine Towne, Angela Marocco
Beginner/Intermediate Workshops
This workshop is designed to assist faculty with learning how to integrate Generative Artificial Intelligence into the classroom. We will provide tips and hands-on opportunities for using U-M GPT to produce effective instructional materials such as assignment ideas, assignment rubrics, and lesson plan outlines. GenAI syllabi statements and course syllabi creation will be discussed as well.
Recommended Prerequisites: Generative AI Basics & Generative in the Classroom, Part 1
Workshop Outline:
- Recap from GenAI in the Classroom, Part 1 and discussion
- How have you used GenAI in your courses?
- Demos of GenAI classroom applications
- Hands-on opportunities: Using GenAI to create:
- Course Syllabi
- Authentic assignments
- Assignment rubrics
- Lesson plan outlines
Topics: Generative AI, U-M GPT
Level: Beginner/Intermediate
Trainer: Monica Hickson, Nargas Oskui
Do you want an around-the-clock assistant for your data, such as Canvas courses or cloud files? It’s possible with U-M’s Maizey GenAI tool! In this workshop, the benefits of Maizey will be explained- ranging from indexing a Canvas course to personal Google Drive or Dropbox files. This workshop will demonstrate a step-by-step process of setting up a Maizey project, as well as offer hands-on opportunities.
Recommended Prerequisites: Generative AI Basics
Workshop Outline:
- What is Maizey?
- Demo of Maizey
- When/why to use Maizey vs U-M GPT
- Privacy
- What sources Maizey can read
- How to set it up and index the content (Maizey demo)
- Maizey settings- System prompts and temperature
Topics: Generative AI, U-M GPT
Level: Beginner/Intermediate
Trainer: Angela Marocco, Aaron Elam, Kalpana Joshi, Sarah Noah
Intermediate/Advanced Workshops
Learn to prompt effectively using U-M GPT by exploring techniques for GenAI prompt engineering. This workshop offers hands-on activities and advanced applications in conversation manipulation and creative AI interaction. Dive deep into conversational prompts, rephrasing prompts, prompt style and tone, inserting text/data, and much more on your way to becoming a master of AI prompt engineering.
Recommended Prerequisites: Generative AI Basics and Generative AI with U-M GPT
Workshop Outline:
- Recap of U-M GPT
- Prompt literacy recap
- Author, audience, and purpose
- Effective text/data input into U-M GPT
- Tips & Tricks
- Data examples
- Images with U-M GPT DALL-E 3 (Image generator)
- Prompt Engineering – Hands-On Opportunities:
- Conversations/Length
- Rephrase/New Chat
- Specified Style/Tone
Topics: Generative AI, U-M GPT, DALL-E 3
Level: Intermediate/Advanced
Trainer: Angela Marocco, Jennifer Love, Carson Waites, Sarah Noah
Ready to transform your teaching and work tasks and free up valuable time? Join our interactive workshop and discover how Generative AI (GenAI) tools can streamline your approach to teaching tasks, work tasks, course data, and administrative tasks. Get ready to boost your productivity and gain more time to engage with your students!
Recommended Prerequisites: Generative AI Basics and either Generative AI with U-M GPT OR Generative AI in the Classroom, Part 2
Workshop Outline:
- Effortless course content creation: Learn how GenAI can help you create materials, such as slides and content for your Canvas pages/courses.
- Streamlined data analysis: Explore techniques for analyzing data and summarizing academic materials.
- Hands-on experience: Get comfortable using GenAI tools through practical hands-on exercises.
- Peer insights: Participate in discussions and learn best practices for integrating GenAI in higher education.
Topics: Generative AI, U-M GPT
Level: Intermediate/Advanced
Trainer: Monica Hickson, Nichole Marbury, Angela Marocco, Jennifer Love, Siba El Dallal
Join us as we continue to explore generative AI imagery. Learn how to write descriptive prompts to generate unique image content using Adobe Firefly features integrated into Adobe Express. Participate in hands-on experiences to create and modify custom images in Express. As a reminder, Michigan is an Adobe Creative Campus which gives students, faculty, and staff access to Adobe Creative Cloud for free!
To ensure a smooth start and make the most of our session, we highly recommend logging into Adobe Express at least 15 minutes before the workshop begins.
Recommended Prerequisites: Generative AI Basics and Leveraging Generative AI to Create Imagery, Part 1
Workshop Outline:
- Imagery prompting recap
- Adobe Firefly overview
- Adobe Express overview
- Express demo and hands-on exercises
- Firefly Generative fill
- Firefly Text-to-image
- Firefly Text effects
- Firefly Text-to-template
- Adobe resources
Topics: Generative AI, Adobe Firefly
Level: Intermediate/Advanced
Trainer: Kristine Towne, Angela Marocco, Nichole Marbury, Elizabeth Fomin
Want a customized assistant for your data? Elevate your Maizey skills as we dive into the craft of 'system prompting' within the U-M Maizey interface. System prompts allow users to personalize how their Maizey will interact with end users, giving a Maizey project a custom persona. This workshop will also explore how to customize the temperature and chunk settings in Maizey, which helps project owners refine the scope of their Maizey results.
Recommended Prerequisites: Getting Started with U-M Maizey and Generative AI Basics
Workshop Outline:
- Discuss how Maizey works
- Define what Maizey is and is not
- Review of Maizey setup
- Define the difference between Maizey prompts
- User question prompt vs System prompt
- Craft a System prompt and explore how it affects the results
- Adjust Temperature and Chunking and explore how it affects the results
Topics: Generative AI, U-M Maizey
Level: Intermediate/Advanced
Trainer: Angela Marocco, Aaron Elam, Kalpana Joshi, Sarah Noah, Nargas Oskui