Alternative Title
Developing Artificial Intelligence (AI) Agents to Support Student Learning
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
Seminole D
Start Date
28-5-2025 1:00 PM
End Date
28-5-2025 1:25 PM
Publisher
University of Central Florida Libraries
Keywords:
Generative AI; Data privacy; Student engagement; Course materials; Cost evaluation
Subjects
Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Computer-assisted instruction--Study and teaching (Higher); Microsoft software--Computer-assisted instruction; Automation--Study and teaching
Description
Generative AI tools provide new mechanisms for students to interact with course content. Use of publicly available tools raise concerns about data protection, intellectual property, and data privacy. This project sought to leverage Microsoft Copilot AI tools to create a custom, data protected agent using instructor created course materials. Using a low code approach, we implemented the AI tool for students in a high enrollment course. An additional focus of this project is evaluating student use and costs of maintaining these systems. The presentation will examine our approach and lessons learned in implementing and sustaining such tools.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Students, Instructional designers, Administrators
Recommended Citation
Henkel, Tim and Spector, Paul, "Developing AI Agents to Support Student Learning" (2025). Teaching and Learning with AI Conference Presentations. 5.
https://stars.library.ucf.edu/teachwithai/2025/wednesday/5
Developing AI Agents to Support Student Learning
Seminole D
Generative AI tools provide new mechanisms for students to interact with course content. Use of publicly available tools raise concerns about data protection, intellectual property, and data privacy. This project sought to leverage Microsoft Copilot AI tools to create a custom, data protected agent using instructor created course materials. Using a low code approach, we implemented the AI tool for students in a high enrollment course. An additional focus of this project is evaluating student use and costs of maintaining these systems. The presentation will examine our approach and lessons learned in implementing and sustaining such tools.