2012 | OriginalPaper | Buchkapitel
Knowledge Clustering Using a Neural Network in a Course on Medical-Surgical Nursing
verfasst von : José Luis Fernández-Alemán, Chrisina Jayne, Ana Belén Sánchez García, Juan M. Carrillo-de-Gea, Ambrosio Toval Alvarez
Erschienen in: Engineering Applications of Neural Networks
Verlag: Springer Berlin Heidelberg
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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.