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.
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Fernández-Alemán, J.L., Jayne, C., García, A.B.S., Carrillo-de-Gea, J.M., Toval Alvarez, A. (2012). Knowledge Clustering Using a Neural Network in a Course on Medical-Surgical Nursing. In: Jayne, C., Yue, S., Iliadis, L. (eds) Engineering Applications of Neural Networks. EANN 2012. Communications in Computer and Information Science, vol 311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32909-8_39
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DOI: https://doi.org/10.1007/978-3-642-32909-8_39
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