Learning Lab | Leveraging Generative AI in Higher Education: Practical Applications – September 2024

Part 1: September 9, 2024 | 12:00–1:30 p.m. ET
Part 2: September 12, 2024 | 12:00–1:30 p.m. ET
Part 3: September 18, 2024 | 12:00–1:30 p.m. ET
Part 4: September 23, 2024 | 12:00–1:30 p.m. ET

Overview

In this “design thinking”-style Learning Lab, participants will explore for themselves the transformative potential of generative AI in higher education. Through hands-on activities and real-world case studies, learners will deconstruct AI tools such as chatbots, customizable agents, and virtual assistants, and then build their own. No prior coding experience or paid-for generative AI model is necessary.

Participants will critically analyze the capabilities and applications of generative AI, fostering a deeper understanding of its impact on teaching, research, and administrative processes.

During live sessions, learners will engage in interactive exercises, evaluating and synthesizing practical use cases tailored to their specific unit and/or institutional needs. Learners will identify and assess tasks within their professional domains that could be supported by AI assistants, and then test these hypotheses to determine for themselves where and how the technology works for their case, or―just as importantly―if AI is not the solution to the tasks they have in mind. Collaborative sessions will challenge learners to critically examine and devise innovative solutions, integrating generative AI into their existing workflows and practices. Participants will design and integrate strategies for their use of AI tools, including prompt engineering, to address complex scenarios and optimize efficiency across various higher education functions.

Learning Outcomes:

NOTE: You will be asked to complete assignments in between the Learning Lab live sessions that support the learning outcomes stated below. You will receive feedback and constructive critique from facilitators.

• Analyze the key characteristics, capabilities, and potential applications of generative AI toolsets and technologies within the context of higher education.
• Ideate various use cases where generative AI can be applied to meet specific unit or institutional needs.
• Develop a custom chatbot or AI solution that addresses specific unit or institutional needs.
• Evaluate the effectiveness of the custom chatbot or AI solution in meeting specific unit or institutional needs.
• Iterate on the custom chatbot or AI solution to improve performance.