Using AI to Model Topic Development: When AI Makes Sense in Research Instruction

Presenter Information

Jenna Pitera, Union College

Alternative Title

Using Artificial Intelligence (AI) to Model Topic Development: When AI Makes Sense in Research Instruction

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

Sawgrass

Start Date

23-7-2024 2:45 PM

End Date

23-7-2024 3:00 PM

Publisher

University of Central Florida Libraries

Keywords:

AI in research; Topic development; Librarian instruction; Keyword generation; Responsible AI use

Subjects

Artificial intelligence--Computer-assisted instruction; Artificial intelligence--Study and teaching; Artificial intelligence--Educational applications; Artificial intelligence--Library applications; Artificial intelligence--Research

Description

Librarians often enter a classroom to assist with research instruction in topics they have little knowledge of. Using AI text generators can assist librarians in preparing for research instruction, while simultaneously modeling how to conduct topic development and generate keywords. This session will explore how librarians can model creative and responsible use of AI in research, both for students and for partner faculty, and at what point during the research process AI is most appropriate.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Librarians, Faculty, Students

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Jul 23rd, 2:45 PM Jul 23rd, 3:00 PM

Using AI to Model Topic Development: When AI Makes Sense in Research Instruction

Sawgrass

Librarians often enter a classroom to assist with research instruction in topics they have little knowledge of. Using AI text generators can assist librarians in preparing for research instruction, while simultaneously modeling how to conduct topic development and generate keywords. This session will explore how librarians can model creative and responsible use of AI in research, both for students and for partner faculty, and at what point during the research process AI is most appropriate.