The Learning Lab experience is supported by both asynchronous and synchronous components. Each Learning Lab sequence includes a set of resources, an asynchronous discussion, and an interactive live session, all of which culminate in the development of a project or application to apply learning to local and specific contexts in support of the learning objectives.
July 11, 2023, 12:00–1:00 p.m. ET
This is a live session to learn the details of the Learning Lab, the Canvas site, and expectations for the microcredential. There will also be time to get to know your fellow Lab partners and facilitator.
Learning Cycle 1: Exploring AI Prompting
July 13, 2023, 12:00–1:30 p.m. ET
In our first Learning Cycle, we will build on our introduction to responsible prompting, potential benefits of AI in education, and ethical considerations. This live session will be hands-on, allowing participants to experiment with AI tools and platforms, exploring integration into their workflows, and receiving feedback on AI-generated prompts while aligning with best practices in pedagogy and instructional design.
Learning Cycle 2: Refining AI Prompts
July 20, 2023, 12:00–1:30 p.m. ET
In the second Learning Cycle, we'll refine our understanding of prompt engineering through interactive exercises and peer review. This will give participants the opportunity to practice writing and refining prompts to provide adequate context for the AI tool to generate useful text for specific work and contexts at their institutions.
Review and Reflect Session
July 27, 2023, 12:00–1:30 p.m. ET
The Learning Lab will conclude with an application or implementation project (described below) and a closing live session to review and process the learning from the lab.
Lab Implementation Project
In this application project, participants will apply their learning from the exploration cycle to develop a final project that incorporates AI prompting to support work in their specific domains.
Participants will have the opportunity to choose a project that aligns with their professional interests and responsibilities. Examples of projects could include creating a video for online teaching they can use in their class right now, developing a sample organizational change plan from the perspective of their position, creating a crucial conversation plan to discuss with their supervisor, developing a career trajectory map with needed learnings and information, or creating an operating budget for their group.
Throughout the project development process, participants will be encouraged to incorporate AI prompting in a responsible and ethical manner, aligning with best practices in pedagogy and instructional design. They will also have the opportunity to collaborate with peers and receive feedback on their projects for continuous learning and improvement.