Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/120836
Título: Gamification: A Motivation Metric Based in a Markov Model
Autores/as: Aguiar Castillo, Carmen Lidia 
Arce-Santana, Edgar
Guerra-Yanez, Carlos
Guerra Yanez, Victor 
Pérez Jiménez, Rafael 
Clasificación UNESCO: 531204 Educación
Palabras clave: Gamification
Higher education
Markov model
Mobile learning
Fecha de publicación: 2022
Publicación seriada: International Journal of Emerging Technologies in Learning 
Resumen: The current situation in the world with the COVID-19 pandemic has reinforced a pre-existing trend based on increasing the use of gamification tools in education to motivate students. In this work, a study based on a Markov model is proposed to assess motivation during the training process in higher education. The evolution of Faculty of Business Administration graduates when using a gamified smartphone application (HEgameApp) has been measured. The behavior of graduates is assessed through collaboration in fora created by HegameApp, and the recognition given by their classmates. A utility function is defined to obtain a statistical estimator used in the assignment of motivational states of the study participants. In addition, a decrement function is assigned to the value of the components of the utility function to estimate the time variation of motivation during the process of knowledge assimilation. The proposed solution shows that when graduates are involved in using the app, they significantly increase their academic outcomes and satisfaction while receiving the lectures. In addition, the positive feedback perceived through the application fora has a measurable effect on their motivation.
URI: http://hdl.handle.net/10553/120836
ISSN: 1868-8799
DOI: 10.3991/ijet.v17i13.30781
Fuente: International Journal of Emerging Technologies in Learning [ISSN 1868-8799], v. 17 (13), p. 17-34, (2022)
Colección:Artículos
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