Adaptive Serious Game as a Learning Approach for Microbiology

Sebastian Munoz De La Cruz, Sol Sanchez Portocarrero, Pedro Shiguihara-Juarez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Multiple factors contribute to the negative experience and disinterest of medical students on the perception of the Microbiology course [1]. In this paper, an Adaptive Serious Game is proposed as a more entertaining educational approach to motivate and to improve the performance of medical students on a Microbiology subject. To achieve that, a Bayesian Network model constructed from expert knowledge and a Role-Playing game design were proposed. To validate our proposal, a playability survey was applied to 36 college students. These students were divided in two groups for evaluating their performance with and without an adaptability feature. Overall, the results suggest the game is attractive, enjoyable and useful tool for learning. Moreover, the use of Bayesian networks contributes to the success performance ratio of the students.

Original languageEnglish
Title of host publication2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings
EditorsCarlos Andres Lozano-Garzon
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538681312
DOIs
StatePublished - 21 Dec 2018
Externally publishedYes
Event4th Innovation and Trends in Engineering Congress, CONIITI 2018 - Bogota, Colombia
Duration: 3 Oct 20185 Oct 2018

Publication series

Name2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings

Conference

Conference4th Innovation and Trends in Engineering Congress, CONIITI 2018
Country/TerritoryColombia
CityBogota
Period3/10/185/10/18

Keywords

  • Bayesian Networks
  • Prediction of Student Performance
  • Serious Games

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