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01.04.2016 | Education & Training

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

verfasst von: José Luis Fernández-Alemán, Laura López-González, Ofelia González-Sequeros, Chrisina Jayne, Juan José López-Jiménez, Juan Manuel Carrillo-de-Gea, Ambrosio Toval

Erschienen in: Journal of Medical Systems | Ausgabe 4/2016

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Abstract

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.

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Titel: An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students
verfasst von: José Luis Fernández-Alemán
Laura López-González
Ofelia González-Sequeros
Chrisina Jayne
Juan José López-Jiménez
Juan Manuel Carrillo-de-Gea
Ambrosio Toval
Publikationsdatum: 01.04.2016
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 4/2016
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-016-0440-6

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

Abstract

Live-Webinar "Chronische Unterbauch- und Viszeralschmerzen in der Praxis managen"

Springer Medizin

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