Incorporating Generative AI to Promote InquiryBased Learning: Comparing Elicit AI Research Assistant to PubMed and CINAHL Complete

Document Type

Article

Publication Title

Medical Reference Services Quarterly

Abstract

Generative artificial intelligence (GenAI) is transforming education, and faculty can either incorporate GenAI in intentional course design to promote inquiry-based learning (IBL) or resist its use. This study identified an effective strategy to intentionally integrate GenAI in the course design to promote IBL. A descriptive study design was used for graduate nursing students to compare the effectiveness of a GenAI literature search tool, Elicit: The AI Research Assistant, to PubMed and CINAHL. A two-phase framework was utilized to organize complex information and justify a preference. A rubric was designed to promote and assess critical thinking through IBL in educating graduate nursing students on information literacy and structuring a literature search. Discovering a relationship between the search tools, students identified the strengths (pros) and weaknesses (cons) of each tool and determined which tool was more effective in terms of accuracy, relevance and efficiency

First Page

292

Last Page

305

DOI

10.1080/02763869.2024.2403272

Publication Date

11-4-2024

Comments

Supplemental data for this article can be accessed online at https://doi.org/10.1080/02763869.2024.2403272.

© 2024 The Author(s). Published with license by Taylor & Francis Group, LLC

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