Alternative Title
Teaching Info Lit Through Artificial Intelligence (AI): From Concept to Classroom
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
Universal Center
Start Date
29-5-2025 4:00 PM
End Date
29-5-2025 5:00 PM
Publisher
University of Central Florida Libraries
Keywords:
AI tools; Information literacy; Implicit biases; Pedagogical strategies; Research practices
Subjects
Artificial intelligence--Study and teaching; Information literacy--Study and teaching (Higher); Artificial intelligence--Educational applications; Teaching--Information services; Library science--Technological innovations--Study and teaching
Description
This poster will explore two "plug and play" learning activities that leverage AI tools to enhance students' information literacy skills beyond evaluating AI itself. Grounded in the ACRL Framework for Information Literacy for Higher Education, these activities focus on identifying implicit biases and embracing research as an iterative process. We will highlight our design process and integration into asynchronous and in-class settings, and share collected feedback from students, faculty, and librarians. Participants will gain insights into our pedagogical approach and lessons learned, along with strategies for using AI to support critical and creative research practices.
Language
eng
Type
Poster
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty; Students; Librarians
Recommended Citation
Nicosia, Lara, "Teaching Info Lit Through AI: From Concept to Classroom" (2025). Teaching and Learning with AI Conference Presentations. 139.
https://stars.library.ucf.edu/teachwithai/2025/thursday/139
Teaching Info Lit Through AI: From Concept to Classroom
Universal Center
This poster will explore two "plug and play" learning activities that leverage AI tools to enhance students' information literacy skills beyond evaluating AI itself. Grounded in the ACRL Framework for Information Literacy for Higher Education, these activities focus on identifying implicit biases and embracing research as an iterative process. We will highlight our design process and integration into asynchronous and in-class settings, and share collected feedback from students, faculty, and librarians. Participants will gain insights into our pedagogical approach and lessons learned, along with strategies for using AI to support critical and creative research practices.