TY - GEN
T1 - Adaptive Serious Game as a Learning Approach for Microbiology
AU - De La Cruz, Sebastian Munoz
AU - Portocarrero, Sol Sanchez
AU - Shiguihara-Juarez, Pedro
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/21
Y1 - 2018/12/21
N2 - 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.
AB - 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.
KW - Bayesian Networks
KW - Prediction of Student Performance
KW - Serious Games
UR - http://www.scopus.com/inward/record.url?scp=85061052508&partnerID=8YFLogxK
U2 - 10.1109/CONIITI.2018.8587088
DO - 10.1109/CONIITI.2018.8587088
M3 - Contribución a la conferencia
AN - SCOPUS:85061052508
T3 - 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings
BT - 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings
A2 - Lozano-Garzon, Carlos Andres
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 October 2018 through 5 October 2018
ER -