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Video Experimental Relacionado

Updated: Jan 13, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Cristalización de la Evaluación de Teorías: Un Marco Colaborativo Humano-IA para el Análisis de Teorías de Enfermería

Damla Er1, Kemal Yayla2, Betül Aktaş1

  • 1Department of Public Health Nursing, Faculty of Health Sciences, İzmir Katip Çelebi University, İzmir, Türkiye.

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PubMed
Resumen
Este resumen es generado por máquina.

La Teoría de Simulación NLN/Jeffries (JST) es una herramienta flexible en la educación de enfermería, no una debilidad. Un marco Humano-IA revela su fortaleza como objeto límite, mejorando la colaboración entre educación, investigación y práctica.

Palabras clave:
colaboración humano-IATeoría de Simulación NLN/Jeffriesinteligencia artificialobjeto límitecristalizaciónanálisis metateóricoteoría de enfermeríaevaluación de teorías

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Área de la Ciencia:

  • Teoría de la Educación en Enfermería
  • Teoría de la Simulación
  • Análisis Metateórico

Sus antecedentes:

  • La Teoría de Simulación NLN/Jeffries (JST) se utiliza ampliamente pero carece de claridad teórica, lo que genera desafíos de evaluación.
  • Los métodos de evaluación tradicionales están fragmentados y no logran resolver las contradicciones en la aplicación de JST.
  • Existe la necesidad de un análisis teórico integral para comprender el papel de JST en la educación de enfermería.

Objetivo del estudio:

  • Presentar un marco colaborativo Humano-IA para el análisis metateórico.
  • Utilizar JST como caso de estudio para demostrar la utilidad del marco.
  • Reevaluar la claridad teórica y la aplicación de JST en enfermería.

Principales métodos:

  • Se desarrolló un marco colaborativo Humano-IA basado en la cristalización.
  • Se integraron criterios de evaluación de Fawcett, Meleis y Walker y Avant.
  • Se empleó IA para el análisis sistemático de la evidencia teórica e investigadores humanos para la interpretación.

Principales resultados:

  • La falta de precisión percibida en JST es una fortaleza, lo que permite su función como objeto límite.
  • El marco facilitó un análisis integral y metateórico de JST.
  • La IA aumentó la interpretación humana, demostrando un modelo práctico para la investigación académica.

Conclusiones:

  • JST sirve como una estructura flexible que promueve la colaboración en la educación, investigación y práctica de enfermería.
  • La colaboración Humano-IA ofrece un modelo transparente y eficaz para la investigación académica.
  • Las herramientas tecnológicas pueden mejorar, no reemplazar, el juicio crítico académico en enfermería.