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Related Experiment Video

Updated: Jun 18, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Putting knowledge to work: a new approach.

Karen Evans1, David Guile, Judy Harris

  • 1Institute of Education, University of London, 20, Bedford Way, London WC1H OAL, United Kingdom. k.evans@ioe.ac.uk <k.evans@ioe.ac.uk>

Nurse Education Today
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel

Related Experiment Videos

Last Updated: Jun 18, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

  • Educational Theory
  • Professional Learning
  • Knowledge Integration

Background:

  • Traditional approaches to integrating subject-based and work-based knowledge focus on 'transfer' from theory to practice.
  • This often creates a dichotomy between abstract academic knowledge and real-world practical application.
  • Existing models struggle to bridge the gap between different learning environments effectively.

Purpose of the Study:

  • To propose a new framework for understanding knowledge integration in professional education.
  • To explore how contextualization and re-contextualization influence knowledge articulation between academic and workplace settings.
  • To assess the relevance of this approach for addressing the theory-practice gap in nursing education.

Main Methods:

  • The research examined different forms of knowledge and their contextualization across diverse professional fields.
  • It focused on the movement and transformation of knowledge between college and workplace learning sites.
  • Qualitative analysis explored how knowledge is re-contextualized in different learning environments.

Main Results:

  • A 're-contextualisation' approach offers a more nuanced understanding of knowledge integration than simple 'transfer'.
  • Knowledge is not merely transferred but actively reshaped and adapted in new contexts.
  • This framework highlights the dynamic interplay between subject-based and work-based learning.

Conclusions:

  • The 're-contextualisation' model provides a valuable lens for improving curriculum design in professional education.
  • It offers a promising strategy for bridging the theory-practice gap, particularly relevant to nursing education.
  • Further research is recommended to explore the application of this approach in nurse education.