title: An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students.
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.
authors.affiliation: Faculty of Computer Science, Department of Informatics and System, University of Murcia, Murcia, Spain. aleman@um.es.
authors.forename: José Luis
authors.initials: JL
authors.lastname: Fernández-Alemán
authors.affiliation: Faculty of Medicine, Department of Human Anatomy, University of Murcia, Murcia, Spain. lalogo@yahoo.com.
authors.forename: Laura
authors.initials: L
authors.lastname: López-González
authors.affiliation: Faculty of Medicine, Department of Human Anatomy, University of Murcia, Murcia, Spain. sequeros@um.es.
authors.forename: Ofelia
authors.initials: O
authors.lastname: González-Sequeros
authors.affiliation: Robert Gordon University, Aberdeen City, Scotland, UK. chrisina.jayne@gmail.com.
authors.forename: Chrisina
authors.initials: C
authors.lastname: Jayne
authors.affiliation: Faculty of Computer Science, Department of Informatics and System, University of Murcia, Murcia, Spain. juanjoselopez@um.es.
authors.forename: Juan José
authors.initials: JJ
authors.lastname: López-Jiménez
authors.affiliation: Faculty of Computer Science, Department of Informatics and System, University of Murcia, Murcia, Spain. jmcdg@um.es.
authors.forename: Juan Manuel
authors.initials: JM
authors.lastname: Carrillo-de-Gea
authors.affiliation: Faculty of Computer Science, Department of Informatics and System, University of Murcia, Murcia, Spain. atoval@um.es.
authors.forename: Ambrosio
authors.initials: A
authors.lastname: Toval
mesh_terms: D000465:Algorithms; D000715:Anatomy / Q000193:education*; D003258:Consumer Behavior; D020375:Education, Distance / Q000379:methods*; D004521:Educational Measurement / Q000379:methods*; D000068156:Formative Feedback; D006801:Humans; D020407:Internet; D007858:Learning; D016571:Neural Networks, Computer; D013339:Students, Pharmacy; D013663:Teaching
keywords: E-Learning; Experiment; Human Anatomy; Neural Network
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