Type of Presentation
Individual paper/presentation
Conference Strand
Ethics in Information
Target Audience
Higher Education
Second Target Audience
Other
Researchers, academics
Relevance
This proposal encourages the application of the ACRL Framework to evaluate some generative artificial intelligence technologies within the context of information literacy instruction.
Proposal
On the knowledge sharing spectrum artificial Intelligence (AI) coupled with skilled library instruction practitioners is an engaging, winsome combination. This powerful collaborative synergy can better substantiate the premise that teaching and learning is a two-way conduit — a commixture of tools (machine) and instructors (human). Undoubtedly, AI applications in scholarly enterprise could further substantiate worth by reinforcing the value of skilled support library instruction practitioners in an automated cosmos. Computerized deep learning technologies such as Generative AI which imitates human intelligence, and Large Language Models (LLM) are poised to revolutionize how research is conceived, designed, conducted, presented and preserved. Undoubtedly, the delivery of information literacy instruction will definitely undergo some brave refashioning. Consequently, expert human intervention will be the added value quotient in the age of AI within the halls of academe.
The focus of this presentation will be to outline and discuss how library instruction practitioners can leverage some AI technologies to recast information literacy instruction in keeping with current technology trends. Given that the ACRL framework is an industry standard, library instruction practitioners can use the six established frames to detail how learners can appraise, analyze, test and evaluate the information AI powered by a deep neural network produces. Opportunities to craft programmatic initiatives accordingly will abound. Purposefully, this framework is pivotal to information literacy. It can help foster a genuine awareness of the symbiotic relationship between technology and human intelligence. Hence, a super transformative reciprocal experience unfolds for all the active participants in this information-knowledge exchange paradigm.
Presentation Description
The application of the ACRL Framework which is an industry standard can be used as a tool to deliver information literacy instruction when the focus is on the application of some generative artificial intelligence (AI) application in classroom settings. The aim is to encourage critical thinking about the pros and cons of some generative artificial intelligence (AI) technologies.
Keywords
Generative Artificial Intelligence, ACRL Framework, AI technologies, Library Instruction Practitioners
Publication Type and Release Option
Presentation (Open Access)
Recommended Citation
Coates, Kay and Garner, Jessica, "A real package deal - AI & the library instruction practitioner" (2024). Georgia International Conference on Information Literacy. 27.
https://digitalcommons.georgiasouthern.edu/gaintlit/2024/2024/27
Included in
A real package deal - AI & the library instruction practitioner
On the knowledge sharing spectrum artificial Intelligence (AI) coupled with skilled library instruction practitioners is an engaging, winsome combination. This powerful collaborative synergy can better substantiate the premise that teaching and learning is a two-way conduit — a commixture of tools (machine) and instructors (human). Undoubtedly, AI applications in scholarly enterprise could further substantiate worth by reinforcing the value of skilled support library instruction practitioners in an automated cosmos. Computerized deep learning technologies such as Generative AI which imitates human intelligence, and Large Language Models (LLM) are poised to revolutionize how research is conceived, designed, conducted, presented and preserved. Undoubtedly, the delivery of information literacy instruction will definitely undergo some brave refashioning. Consequently, expert human intervention will be the added value quotient in the age of AI within the halls of academe.
The focus of this presentation will be to outline and discuss how library instruction practitioners can leverage some AI technologies to recast information literacy instruction in keeping with current technology trends. Given that the ACRL framework is an industry standard, library instruction practitioners can use the six established frames to detail how learners can appraise, analyze, test and evaluate the information AI powered by a deep neural network produces. Opportunities to craft programmatic initiatives accordingly will abound. Purposefully, this framework is pivotal to information literacy. It can help foster a genuine awareness of the symbiotic relationship between technology and human intelligence. Hence, a super transformative reciprocal experience unfolds for all the active participants in this information-knowledge exchange paradigm.
