Type of Presentation
Poster Session
Conference Strand
Ethics in Information
Target Audience
Higher Education
Second Target Audience
Other
Relevance
LibGuides are indispensable tools for librarians, facilitating information literacy teaching in a variety of contexts and enhancing the overall learning experience for users.
Proposal
LibGuides are indispensable tools for librarians, facilitating information literacy teaching in a variety of contexts and enhancing the overall learning experience for users. This is particularly true for guides tailored to specific courses. Course guides and others that closely align with student learning objectives and assignment requirements, provide a more immediate and targeted response to user’s needs. Yet, developing guides with such customized content often proves to be a time-consuming process for Librarian creators.
Librarians might consider leveraging generative AI to assist them in creating guides with more focused and timely content, making their work easier and more efficient. Generative AI tools can assist in implementing best practices, from formulating searchable, timely topics to refining language for clearer, user-friendly content. AI tools can also be helpful in suggesting visual elements that complement course themes and cater to diverse learning styles. While AI continues to evolve, with its full implications yet to be understood, it holds the potential to simplify a facet of instructional duties. Librarians are thus able to devote more of their energies to high-priority responsibilities.
This poster will demonstrate how a teaching librarian has employed AI to guide the creation of customized course guides. Current AI applications will be discussed as well as those under consideration for future implementation, with a specific focus on enhancing student accessibility.
Short Description
Course-specific LibGuides provide a targeted response to user’s needs by more closely aligning with student learning objectives and assignment requirements. However, creating guides with such customized content can be time-consuming.This poster will demonstrate how a teaching librarian harnesses generative AI to aid in their creation of LibGuides with content that is more focused and timely, enhancing their work efficiency.
Keywords
LibGuides, Generative AI
Publication Type and Release Option
Presentation (Open Access)
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Johnson, Autumn, "Harnessing Generative AI for Targeted LibGuide Development" (2024). Georgia International Conference on Information Literacy. 18.
https://digitalcommons.georgiasouthern.edu/gaintlit/2024/2024/18
Harnessing Generative AI for Targeted LibGuide Development
LibGuides are indispensable tools for librarians, facilitating information literacy teaching in a variety of contexts and enhancing the overall learning experience for users. This is particularly true for guides tailored to specific courses. Course guides and others that closely align with student learning objectives and assignment requirements, provide a more immediate and targeted response to user’s needs. Yet, developing guides with such customized content often proves to be a time-consuming process for Librarian creators.
Librarians might consider leveraging generative AI to assist them in creating guides with more focused and timely content, making their work easier and more efficient. Generative AI tools can assist in implementing best practices, from formulating searchable, timely topics to refining language for clearer, user-friendly content. AI tools can also be helpful in suggesting visual elements that complement course themes and cater to diverse learning styles. While AI continues to evolve, with its full implications yet to be understood, it holds the potential to simplify a facet of instructional duties. Librarians are thus able to devote more of their energies to high-priority responsibilities.
This poster will demonstrate how a teaching librarian has employed AI to guide the creation of customized course guides. Current AI applications will be discussed as well as those under consideration for future implementation, with a specific focus on enhancing student accessibility.
