An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students

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• 作者：José Luis Fernández-Alemán ; Laura López-González…
• 关键词：E ; Learning ; Human Anatomy ; Neural Network ; Experiment
• 刊名：Journal of Medical Systems
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：40
• 期：4
• 全文大小：1,817 KB
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• 作者单位：José Luis Fernández-Alemán (1)
  Laura López-González (2)
  Ofelia González-Sequeros (2)
  Chrisina Jayne (3)
  Juan José López-Jiménez (1)
  Juan Manuel Carrillo-de-Gea (1)
  Ambrosio Toval (1)
  
  1. Faculty of Computer Science, Department of Informatics and System, University of Murcia, Murcia, Spain
  2. Faculty of Medicine, Department of Human Anatomy, University of Murcia, Murcia, Spain
  3. Robert Gordon University, Aberdeen City, Scotland, UK
  
• 刊物类别：Mathematics and Statistics
• 刊物主题：Statistics
  Statistics for Life Sciences, Medicine and Health Sciences
  Health Informatics and Administration
  
• 出版者：Springer Netherlands
• ISSN：1573-689X

文摘

This paper presents an empirical study of a formative neural network-based assessment approach by using mobile technology to provide pharmacy students with intelligent diagnostic feedback. An unsupervised learning algorithm was integrated with an audience response system called SIDRA in order to generate states that collect some commonality in responses to questions and add diagnostic feedback for guided learning. A total of 89 pharmacy students enrolled on a Human Anatomy course were taught using two different teaching methods. Forty-four students employed intelligent SIDRA (i-SIDRA), whereas 45 students received the same training but without using i-SIDRA. A statistically significant difference was found between the experimental group (i-SIDRA) and the control group (traditional learning methodology), with T (87) = 6.598, p < 0.001. In four MCQs tests, the difference between the number of correct answers in the first attempt and in the last attempt was also studied. A global effect size of 0.644 was achieved in the meta-analysis carried out. The students expressed satisfaction with the content provided by i-SIDRA and the methodology used during the process of learning anatomy (M = 4.59). The new empirical contribution presented in this paper allows instructors to perform post hoc analyses of each particular student’s progress to ensure appropriate training. Keywords E-Learning Human Anatomy Neural Network Experiment