Structured Generative AI for Faculty: Designing Reusable Workflow Supports
Includes a Live Web Event on 06/16/2026 at 2:00 PM (EDT)
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Register
- Non-member - $35
- Member - $25
- Affiliate - $35
- Partner - $35
Tuesday, June 16, 2026
2:00 PM – 3:00 PM ET
.1 ASHA CEUs
Faculty are experimenting with generative AI across teaching, assessment, and program work, but recurring tasks often need more structure than a one-off prompt can provide. This session introduces a platform-neutral design pattern that is especially well suited to recurring faculty workflow tasks. Participants will examine how defined inputs, designed behavior, expected outputs, boundaries, and verification steps can make AI-supported work more reliable across uses and easier to manage. Using concrete faculty workflow examples, the session shows how structured design can support consistency, clarify expectations, preserve human judgment in day-to-day academic work, and potentially reduce some of the cognitive load involved in many common faculty responsibilities.
Learning Objectives
- Identify a recurring faculty workflow where a reusable AI support tool would be helpful.
- Outline a structured, platform-neutral AI support tool by specifying its task, inputs, outputs, boundaries, and verification steps.
- Define criteria for quality output and how that output will be verified before use.
Time Ordered Agenda
2:00 - 2:10 PM ET Introductions, session goals, and the case for structured workflow supports
2:10 - 2:35 PM ET The design pattern in practice: inputs, behavior, outputs, boundaries, and verification through faculty workflow examples
2:35 - 2:45 PM ET Defining quality output and preserving human judgment
2:45 - 2:55 PM ET Practical takeaways and implementation guidance
2:55 - 3:00 PM ET Questions and Closing
If you can't attend the live webinar, register now and receive a recording of the webinar to view at your convenience. Please note that only registrants who attend the live webinar are eligible for ASHA CEUs.
For questions about this webinar, please contact us at admin@capcsd.org. Once registered, you will receive a confirmation e-mail with a link to log in.
Kimberly Skinner, AuD, PhD
A. T. Still University
Kimberly Skinner, AuD, PhD, is an educator and audiologist interested in how generative AI can support thoughtful academic work. She explores structured, task-focused approaches that help faculty build reusable workflow supports for teaching, writing, and other professional tasks. Her work emphasizes practical design, clear expectations, and keeping human judgment at the center.
Disclosures
Financial: Employee of A. T. Still University
Non-Financial: None
This course is designed with a participation requirement that ensures meaningful engagement and learning. Participants must be present for the entire 60-minute webinar to receive the assessment. The assessment is a key component in obtaining both their certificate of completion and ASHA CEUs. In addition to standard assessments of the speaker's effectiveness and the overall content quality, participants are challenged to demonstrate practical application of the knowledge gained. The required question prompts participants to articulate and list two specific action items they plan to implement. This promotes critical thinking about how to apply new information in their professional practice with a forward-thinking response.