Artificial Intelligence or Nursing Student? Revisiting Clues in the Connectives.

Background: Recent research at a single-purpose nursing institution has suggested a means to authenticate student writing by distinguishing it from artificial intelligence (AI)-generated text through the detection of key terms. Purpose: The purpose was to replicate and expand the research that ident...

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Publicado en:Nurse Educator Vol. 49; no. 6; pp. 306 - 311
Autores principales: Abbott, Miriam R. Bowers, Abbott, Wyatt W.
Formato: research tables/charts Journal Article
Publicado: Lippincott Williams & Wilkins Nov/Dec2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov/Dec2024
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      pub: Lippincott Williams & Wilkins
      place: Baltimore, Maryland
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        atl: Artificial Intelligence or Nursing Student? Revisiting Clues in the Connectives.
      aug:
        au:
          Abbott, Miriam R. Bowers
          Abbott, Wyatt W.
        affil: RN to BSN Program, Mount Carmel College of Nursing, Columbus, Ohio
      sug:
        subj:
          Artificial Intelligence, Generative Utilization
          Writing Evaluation
          Word Lists
          Students, Nursing
          Education, Nursing
          Human
          Word Processing
          Software
          Comparative Studies
          Language Processing
          Replication Studies
          Authorship
          Research Methodology
          Convenience Sample
      ab: Background: Recent research at a single-purpose nursing institution has suggested a means to authenticate student writing by distinguishing it from artificial intelligence (AI)-generated text through the detection of key terms. Purpose: The purpose was to replicate and expand the research that identified key terms present in student writing but absent from AI-generated text. Methods: A total of 5 generative AI writing tools were fed prompts to collect 14 787 words. Using the Search function on word processing software, the frequency of the terms, because, since, so, then, thing, think, and too, was measured and compared against earlier published findings from AI and students. Results: The replication study was successful for the terms since, then, thing, think, and too. Conclusions: Measuring key term frequency may be a path to authenticate student writing. While no tool can provide certainty of original authorship, the absence of key terms in a student submission may suggest AI authorship.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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