Comparing Elicit AI Research Assistant to PubMed and CINAHL Complete
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https://figshare.com/articles/dataset/Comparing_Elicit_AI_Research_Assistant_to_PubMed_and_CINAHL_Complete/26081965/1
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The data represents the comparison of Elicit: The AI Research Assistant to PubMed and CINAHL Complete. A descriptive study design was used for graduate nursing students at a large southern Alabama university college of nursing 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 inquiry-based learning 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.
本数据集旨在对比AI研究助手Elicit: The AI Research Assistant与PubMed、CINAHL Complete的应用效果。研究采用描述性研究设计,以美国阿拉巴马州南部一所大型大学护理学院的护理学研究生为受试对象,对比生成式AI (Generative AI) 文献检索工具Elicit: The AI Research Assistant与PubMed、CINAHL Complete的应用效能。本次研究采用两阶段框架梳理复杂信息,并论证研究偏好的合理性。研究者设计了评分量表,通过基于探究的学习模式,在护理学研究生的信息素养教育与文献检索流程构建教学中,促进并评估其批判性思维能力。通过分析各检索工具间的关联,学生们明确了各工具的优势与不足,并基于检索准确性、相关性与效率,判定出更具应用优势的检索工具。
提供机构:
Otts, Jo Ann A.; Fenske, Rachel
创建时间:
2024-09-03



