Alternative Title
ChatGPT for assessment: A Compassion Audit Framework for First-Year Students
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 (2023 : Orlando, Fla.)
Location
Sawgrass
Start Date
24-7-2024 10:45 AM
End Date
24-7-2024 11:15 AM
Publisher
University of Central Florida Libraries
Keywords:
Compassion audit; First-year students; Generative AI; Library assessment; Student experience
Subjects
Artificial intelligence--Library applications; Library orientation for college students--Evaluation; Libraries--Evaluation; Artificial intelligence--Computer-assisted instruction; Libraries--Self-evaluation
Description
Librarians, despite their best intentions, often face challenges in executing large-scale projects due to limited time and resources. Generative AI is a valuable ally in assessing library instruction, outreach, and programming. We conducted a “compassion audit” focused on the first-year student experience, evaluating for evidence of care using ChatGPT. This audit encompassed considerations of physical spaces, the library environment, students’ economic factors, and behavioral, psychological, and social aspects of the first-year student experience. Our presentation will detail how we conceived of the library-centered compassion audit and undertook our review with assistance from generative AI. In order to take full advantage of the session, attendees should have access to ChatGPT on a device.
Language
eng
Type
Event
Rights Statement
This work is licensed under a Creative Commons Attribution 4.0 International License.
Audience
Librarians, Faculty, Students
Recommended Citation
Rardin, Jessica and Grover, Janice, "ChatGPT for assessment: A Compassion Audit Framework for First-Year Students" (2024). Teaching and Learning with AI Conference Presentations. 30.
https://stars.library.ucf.edu/teachwithai/2024/wednesday/30
ChatGPT for assessment: A Compassion Audit Framework for First-Year Students
Sawgrass
Librarians, despite their best intentions, often face challenges in executing large-scale projects due to limited time and resources. Generative AI is a valuable ally in assessing library instruction, outreach, and programming. We conducted a “compassion audit” focused on the first-year student experience, evaluating for evidence of care using ChatGPT. This audit encompassed considerations of physical spaces, the library environment, students’ economic factors, and behavioral, psychological, and social aspects of the first-year student experience. Our presentation will detail how we conceived of the library-centered compassion audit and undertook our review with assistance from generative AI. In order to take full advantage of the session, attendees should have access to ChatGPT on a device.
