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Knowledge Clustering Using a Neural Network in a Course on Medical-Surgical Nursing

  • José Luis Fernández-Alemán
  • Chrisina Jayne
  • Ana Belén Sánchez García
  • Juan M. Carrillo-de-Gea
  • Ambrosio Toval Alvarez
Part of the Communications in Computer and Information Science book series (CCIS, volume 311)

Abstract

This paper presents a neural network-based intelligent data analysis for knowledge clustering in an undergraduate nursing course. A MCQ (Multiple Choice Question) test was performed to evaluate medical-surgical nursing knowledge in a second-year course. A total of 23 pattern groups were created from the answers of 208 students. Data collected were used to provide customized feedback which guide students towards a greater understanding of particular concepts. The pattern groupings can be integrated with an on-line (MCQ) system for training purposes.

Keywords

Neural network clustering nursing education 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • José Luis Fernández-Alemán
    • 1
  • Chrisina Jayne
    • 2
  • Ana Belén Sánchez García
    • 1
  • Juan M. Carrillo-de-Gea
    • 1
  • Ambrosio Toval Alvarez
    • 1
  1. 1.Faculty of Computer Science, Regional Campus of International Excellence “Campus Mare Nostrum”University of MurciaMurciaSpain
  2. 2.Faculty of Engineering and ComputingUniversity of CoventryUK

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