Information Creation as an AI Prompt: Implications for the ACRL Framework

There is much interest in higher education in the teaching and learning aspects of generative AI, including its potential uses in information literacy instruction. However, less attention has been paid to the educational implications of generative AI’s impact on academic publishing. Because AI can produce deceptively authentic scholarly articles and falsified data sets, it is fueling the scientific paper mill industry. This has led to record numbers of AI-generated article submissions and scientific paper retractions, even in reputable journals. As a result, AI-generated fake scholarship poses a threat to students’ information literacy and learning development. This paper discusses the implications of generative AI for the Framework for Information Literacy for Higher Education.

Authors

Publication Details

Journal
Kansas Library Association College and University Libraries Section Proceedings
Published
2024-11-13
DOI
https://doi.org/10.4148/2160-942x.1094
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Information Creation as an AI Prompt: Implications for the ACRL Framework

Amanda Hovious
Kansas Library Association College and University Libraries Section Proceedings
Semantic Web and Ontologies
article

Information Creation as an AI Prompt: Implications for the ACRL Framework

Amanda Hovious
article en

Abstract

There is much interest in higher education in the teaching and learning aspects of generative AI, including its potential uses in information literacy instruction. However, less attention has been paid to the educational implications of generative AI’s impact on academic publishing. Because AI can produce deceptively authentic scholarly articles and falsified data sets, it is fueling the scientific paper mill industry. This has led to record numbers of AI-generated article submissions and scientific paper retractions, even in reputable journals. As a result, AI-generated fake scholarship poses a threat to students’ information literacy and learning development. This paper discusses the implications of generative AI for the Framework for Information Literacy for Higher Education.

Kansas Library Association College and University Libraries Section ProceedingsVol. 14(1)
Openalex Percentile: Top 82%
Semantic Web and Ontologies
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