Deploying Custom Large Language Model-based Chatbots as Virtual Subject Matter Experts

Presenter Information

Matthew Acevedo, University of Miami

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 (2024 : Orlando, Fla.)

Location

Sun & Surf I-II

Start Date

23-7-2024 10:45 AM

End Date

23-7-2024 11:15 AM

Publisher

University of Central Florida Libraries

Keywords:

Large language models; Educational technology; Chatbot development; Instructional design; Student engagement

Subjects

Chatbots; Teaching--Simulation methods; Artificial intelligence--Educational applications; Education--Simulation methods; Language and languages--Study and teaching--Technological innovations

Description

A perennial challenge in preparing pre-service instructional designers is creating authentic opportunities for students to confer and collaborate with workplace subject matter experts. This session will discuss an approach used in a “Designing Workplace Training” course at the University of Miami to develop and deploy custom large language model-based chatbots that serve as subject matter experts with whom students can consult when designing workplace training interventions as well as the results of a student survey about the experience. Session attendees will leave with practical takeaways for developing their own no-code, purpose-built, educational chatbots for a variety of contexts.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Instructional designers, Students, Educators

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Jul 23rd, 10:45 AM Jul 23rd, 11:15 AM

Deploying Custom Large Language Model-based Chatbots as Virtual Subject Matter Experts

Sun & Surf I-II

A perennial challenge in preparing pre-service instructional designers is creating authentic opportunities for students to confer and collaborate with workplace subject matter experts. This session will discuss an approach used in a “Designing Workplace Training” course at the University of Miami to develop and deploy custom large language model-based chatbots that serve as subject matter experts with whom students can consult when designing workplace training interventions as well as the results of a student survey about the experience. Session attendees will leave with practical takeaways for developing their own no-code, purpose-built, educational chatbots for a variety of contexts.