Knowledge Clustering Using a Neural Network in a Course on Medical-Surgical Nursing
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.
KeywordsNeural network clustering nursing education
Unable to display preview. Download preview PDF.
- 6.Epstein, M.L., Lazarus, A.D., Calvano, T.B., Matthews, K.A., Hendel, R.A., Epstein, B.B., Brosvic, G.M.: Immediate feedback assessment technique promotes learning and corrects inaccurate first responses. The Psychological Record 52, 187–201 (2002)Google Scholar
- 7.Higgins, E., Tatham, L.: Exploring the potential of multiple choice questions in assessment. Learn. and Teach. in Act. 2 (2003)Google Scholar
- 8.Kuechler, W.L., Simkin, M.G.: How well do multiple choice tests evaluate student understanding in computer programming classes? J. Inf. Syst. Educ. 14, 389–399 (2003)Google Scholar
- 14.Masters, J.C., Hulsmeyer, B.S., Pike, M.E., Leichty, K., Miller, M.T., Verst, A.L.: Assessment of multiple-choice questions in selected test banks accompanying text books used in nursing education. J. Nurs. Educ. 40, 25–32 (2001)Google Scholar
- 16.Morrison, S., Free, K.W.: Writing multiple-choice test items that promote and measure critical thinking. The Journal of Nursing Education 40, 17–24 (2001)Google Scholar
- 19.Quinn, F.: The Principles and Practice of Nurse Education, 4th edn. Stanley Thorne Ltd., Cheltenham (2000)Google Scholar
- 20.Farley, J.K.: The multiple-choice test: writing the questions. Nurse Educ. 14, 10–12, 39 (1989)Google Scholar
- 21.Holsgrove, G.J.: Guide to postgraduate exams: multiple-choice questions. British Journal of Hospital Medicine 48, 757–761 (1992)Google Scholar
- 24.Carpenter, G.A., Grossberg, S.: Adaptive Resonance Theory. In: The Handbook of Brain Theory and Neural Networks, 2nd edn. MIT Press, Cambridge (2003)Google Scholar
- 26.Palmer-Brown, D., Draganova, C., Lee, S.W.: Snap-drift neural network for selecting student feedback. In: IJCNN, pp. 391–398 (2009)Google Scholar
- 27.Brady, A.M.: Assessment of learning with multiple-choice questions. Nurse Education in Practice 5 (2005)Google Scholar