Alternative Title
Using Generative Artificial Intelligence (GenAI) to Create Open Educational Resources (OER) Materials: Potential and Pitfalls
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
Mangrove
Start Date
23-7-2024 10:15 AM
End Date
23-7-2024 11:15 AM
Publisher
University of Central Florida Libraries
Keywords:
Generative AI; Open Educational Resources; Ancillary Materials; Student Access; Educational Innovation
Subjects
Open educational resources; Artificial intelligence--Educational applications; Educational innovations--Research; Textbooks--Research; Learning and scholarship--Technological innovations
Description
High textbook costs can limit or prevent student access to needed instructional materials, complicating student learning and potentially leading to lower student success. Rich repositories of open educational resources (OER) play a crucial role in broadening student access to high-quality learning materials. Ancillary materials are particularly important among these resources as they supplement and enrich student learning experiences. However, compared to OER textbooks, ancillary materials are less readily available. With the content generation capabilities offered by Generative AI, what new opportunities exist for creating OER materials, especially ancillaries, and which areas require special consideration?
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Instructional designers, Educators
Recommended Citation
Aagaard, Posie and Brownlow, Art, "Using GenAI to Create OER Materials: Potential and Pitfalls" (2024). Teaching and Learning with AI Conference Presentations. 39.
https://stars.library.ucf.edu/teachwithai/2024/tuesday/39
Using GenAI to Create OER Materials: Potential and Pitfalls
Mangrove
High textbook costs can limit or prevent student access to needed instructional materials, complicating student learning and potentially leading to lower student success. Rich repositories of open educational resources (OER) play a crucial role in broadening student access to high-quality learning materials. Ancillary materials are particularly important among these resources as they supplement and enrich student learning experiences. However, compared to OER textbooks, ancillary materials are less readily available. With the content generation capabilities offered by Generative AI, what new opportunities exist for creating OER materials, especially ancillaries, and which areas require special consideration?