Alternative Title
Leveraging Artificial Intelligence (AI) Simulation Bots and Strategic Prompts: A Dual Approach to Enhancing Law School Education
Contributor
University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)
Location
Sawgrass
Start Date
29-5-2025 10:45 AM
End Date
29-5-2025 11:10 AM
Publisher
University of Central Florida Libraries
Keywords:
AI in legal education; Simulation bots; Strategic prompt engineering; Skill development; Faculty course design
Subjects
Law schools--Computer-assisted instruction; Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching; Law--Study and teaching--Computer-assisted instruction; Education, Higher--Simulation methods
Description
This session showcases an innovative dual implementation of AI in legal education that bridges the gap between student skill development and faculty course design. Through simulation bots designed to enhance foundational study skills and analytical capabilities, combined with strategic prompt engineering for faculty lesson optimization, this approach demonstrates how AI can effectively support both learners and educators in higher education.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty; Students
Recommended Citation
Maye, Aryele, "Leveraging AI Simulation Bots and Strategic Prompts: A Dual Approach to Enhancing Law School Education" (2025). Teaching and Learning with AI Conference Presentations. 26.
https://stars.library.ucf.edu/teachwithai/2025/thursday/26
Leveraging AI Simulation Bots and Strategic Prompts: A Dual Approach to Enhancing Law School Education
Sawgrass
This session showcases an innovative dual implementation of AI in legal education that bridges the gap between student skill development and faculty course design. Through simulation bots designed to enhance foundational study skills and analytical capabilities, combined with strategic prompt engineering for faculty lesson optimization, this approach demonstrates how AI can effectively support both learners and educators in higher education.