Alternative Title

Developing an Artificial Intelligence (AI)-Agent to Help Students Research: An Exploratory Study

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

Mangrove

Start Date

24-7-2024 9:00 AM

End Date

24-7-2024 10:00 AM

Publisher

University of Central Florida Libraries

Keywords:

AI assistant; Prompt engineering; Generative AI; Pedagogical challenges; Research assignment

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Research; Students--Research; Research--Computer-assisted instruction; Artificial intelligence--Study and teaching (Higher)

Description

This session will describe the results of an exploratory action research project to develop an AI-assistant to help first-year undergraduates perform their first research assignment in college. The different prompt engineering techniques used to develop this AI agent will be discussed (multi-shot, TRACI structure, etc.). Additionally, the viability and pragmatic challenges of creating such an AI-assistant will be discussed, with particular emphasis on the challenges of assessing generative AI outputs in a pedagogical context.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty, Students, Instructional designers

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Jul 24th, 9:00 AM Jul 24th, 10:00 AM

Developing an AI-Agent to Help Students Research: An Exploratory Study

Mangrove

This session will describe the results of an exploratory action research project to develop an AI-assistant to help first-year undergraduates perform their first research assignment in college. The different prompt engineering techniques used to develop this AI agent will be discussed (multi-shot, TRACI structure, etc.). Additionally, the viability and pragmatic challenges of creating such an AI-assistant will be discussed, with particular emphasis on the challenges of assessing generative AI outputs in a pedagogical context.