Incorporating AI Literacy into Music Library Instruction: An Interactive Discussion

Taylor Greene gave a presentation connecting AI Literacy to his work not only as the liaison to the Hall-Musco Conservatory of Music but also more broadly in his role as Chair of Research and Instructional Services. He began by providing an overview of Chapman University’s cautious approach to embracing generative AI and highlighted the library’s role in supporting faculty, staff, librarians, and students in better understanding these technologies and their potential impact on higher education. He summarized the work of the AI Task Force and offered a general overview of the AI Literacy lectures that he and Dr. Doug Dechow usually present. Greene then described how he has incorporated AI Literacy into his two music courses—Music Information Literacy and Research Methods for Performers—sharing examples of music-specific applications of generative AI technologies discussed in those classes. Following this, Greene facilitated an interactive discussion by posing a series of questions aimed at generating new ideas and best practices, drawing on both his own experiences and those of his music librarian colleagues at other institutions. The discussion revealed that many participants were still grappling with how to address generative AI and anticipate its effects on music studies. One MLACC member in attendance, who is deeply involved with MLA’s cataloging groups, shared insights into how AI is currently being tested and evaluated for applications such as linked data development.

Publication Details

Journal
Chapman University Digital Commons (Chapman University)
Published
2024-11-04
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Incorporating AI Literacy into Music Library Instruction: An Interactive Discussion

Chapman University Digital Commons (Chapman University)
Magnetic confinement fusion research
article

Incorporating AI Literacy into Music Library Instruction: An Interactive Discussion

article en

Abstract

Taylor Greene gave a presentation connecting AI Literacy to his work not only as the liaison to the Hall-Musco Conservatory of Music but also more broadly in his role as Chair of Research and Instructional Services. He began by providing an overview of Chapman University’s cautious approach to embracing generative AI and highlighted the library’s role in supporting faculty, staff, librarians, and students in better understanding these technologies and their potential impact on higher education. He summarized the work of the AI Task Force and offered a general overview of the AI Literacy lectures that he and Dr. Doug Dechow usually present. Greene then described how he has incorporated AI Literacy into his two music courses—Music Information Literacy and Research Methods for Performers—sharing examples of music-specific applications of generative AI technologies discussed in those classes. Following this, Greene facilitated an interactive discussion by posing a series of questions aimed at generating new ideas and best practices, drawing on both his own experiences and those of his music librarian colleagues at other institutions. The discussion revealed that many participants were still grappling with how to address generative AI and anticipate its effects on music studies. One MLACC member in attendance, who is deeply involved with MLA’s cataloging groups, shared insights into how AI is currently being tested and evaluated for applications such as linked data development.

Chapman University Digital Commons (Chapman University)
Quality Education
Openalex Percentile: Top 19%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.