Teaching & Learning with AI
Contributors
Lili Steiner
Alternative Title
AI-Driven Instructional Design at MHBS
Contributor
University of Miami
Description
The ELITE Faculty Innovations Lab at the University of Miami launched in October 2025 to transform courses using AI. It’s January 2026 and our experiment is in full effect.
Because levels of adoption vary, we promote AI in various ways, including:
-
hands-on and discussion-based workshops and guest webinars
-
newsletter focused on exploring AI in each
-
video series highlighting ed tech tools that integrate AI
-
AI-heavy course pilots
-
faculty champions model how AI transforms teaching and learning
-
Community of Practice (CoP) course
Publication Date
Summer 6-13-2026
Location
Gaylord Palms Event and Convention Center
Publisher
n/a
Keywords:
Digital infrastructure; AI-driven pathways; Faculty adaptation; Evolving job market; Faculty support environment; AI adoption; Faculty champions
Subjects
Digital infrastructure; AI-driven pathways; Faculty adaptation; Evolving job market; Faculty support environment; AI adoption; Faculty champions
Identifiers
AI-Enhanced Teaching Ecosystem; Targeted AI Learning Interventions
Description
This presentation outlines an experimental, faculty-centered approach to integrating AI into teaching and learning at Miami Herbert Business School. Grounded in a strategic goal to deliver personalized, technology-enhanced education by 2029, it presents a framework built on lowering barriers to faculty adoption through targeted entry points, hands-on workshops, pilot programs, and iterative experimentation. The work emphasizes supporting instructors across varying levels of readiness, using data collection (e.g., faculty engagement and survey feedback) to inform continuous improvement. Findings suggest that structured support and experimentation can increase AI integration in course design and better prepare students for AI-influenced professional environments.
Language
eng
Session Type
Presentation (30 Minutes)
Format
application/vnd.ms-powerpoint)
College
College of Business Administration
Extent
1 file (PPT, 18 slides)
Creator (Linked Data)
n/a
Contributor (Linked Data)
n/a
Collection
n/a
Series
n/a
Relation
Part of: Teaching and Learning with AI Conference 2026
Creative Commons License

This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 International License.
Audience
Instructional Designers; Administrators
Recommended Citation
Gonzalez, Shara W., "Hypothesis: AI Changes Everything—Findings from the ELITE Lab" (2026). Teaching & Learning with AI. 14.
https://stars.library.ucf.edu/teaching-and-learning-with-ai/14