Harmony and Discord: Using Google Gemini in Music Research

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 1:30 PM

End Date

29-5-2025 1:55 PM

Publisher

University of Central Florida Libraries

Keywords:

AI integration; Music research; Student feedback; Scholarly writing; Evaluation strategies

Subjects

Music--Instruction and study--Research; Artificial intelligence--Musical applications; Online bibliographic searching--Study and teaching--Evaluation; Music--Instruction and study--Technological innovations; Music--Computer-assisted instruction

Description

This presentation explores the integration of AI tools in music bibliography and research courses. To develop critical research and evaluation skills, students engaged with Google Gemini through two structured assignments. We examine successful applications and challenges when incorporating AI assistance into music research workflows. Drawing from student experiences and feedback, we'll discuss how Gemini influenced research processes, scholarly writing conventions, and information evaluation strategies. The findings offer valuable insights for educators considering AI integration in research courses.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty; Students

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May 29th, 1:30 PM May 29th, 1:55 PM

Harmony and Discord: Using Google Gemini in Music Research

Sawgrass

This presentation explores the integration of AI tools in music bibliography and research courses. To develop critical research and evaluation skills, students engaged with Google Gemini through two structured assignments. We examine successful applications and challenges when incorporating AI assistance into music research workflows. Drawing from student experiences and feedback, we'll discuss how Gemini influenced research processes, scholarly writing conventions, and information evaluation strategies. The findings offer valuable insights for educators considering AI integration in research courses.

Accessibility Statement

This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.