Gamification: A Motivation Metric Based in a Markov Model

Authors

  • Dra. Lidia Aguiar-Castillo Postdoctoral fellow IDeTIC
  • Dr. Edgar Arce-Santana Rearch professor in Universidad Autonoma de San Luis Potosi
  • Carlos Guerra-Yanez Graduate Research Student en České vysoké učení technické v Praze
  • Dr. Victor Guerra-Yanez Research Associate at IDeTIC and is part of the Pi Lighting Sarl team
  • Dr. Rafael Perez-Jimenez Full professor at Universidad de Las Palmas de Gran Canaria

DOI:

https://doi.org/10.3991/ijet.v17i13.30781

Keywords:

mobile learning, gamification, Markov model, higher education

Abstract


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.

Author Biographies

Dr. Edgar Arce-Santana, Rearch professor in Universidad Autonoma de San Luis Potosi

Edgar Roman Arce-Santana received a BSc degree in computer science engineering from the Technical Institute of San Luis Potosi, Mexico in 1987, the MSc degree in 2000 and the PhD degree in 2004 form the Center of Research in Mathematics (CIMAT) in Guanajuato, Mexico. He is currently a research professor in the Department of Biomedical at the Faculty of Science at the Universidad Autonoma de San Luis Potosi, Mexico. His research interests are in areas of computer vision, signal processing (image processing, biomedical signals), and pattern recognition.

Carlos Guerra-Yanez, Graduate Research Student en České vysoké učení technické v Praze

Carlos Guerra-Yanez Graduate Research Student en České vysoké učení technické v Praze. His main research area is Optical Wireless Communication, and Optical Camera Communication

Dr. Victor Guerra-Yanez, Research Associate at IDeTIC and is part of the Pi Lighting Sarl team

Victor Guerra-Yanez received his M.Eng. in Telecommunication (2010), M.Sc. (2012), and PhD (2016) from ULPGC. He is currently a Research Associate at IDeTIC and is part of the Pi Lighting Sarl team. His main research area is Optical Wireless Communication, where he has contributed to channel modeling, Underwater Wireless Optical Communication Systems, and Optical Camera Communication.

Dr. Rafael Perez-Jimenez, Full professor at Universidad de Las Palmas de Gran Canaria

Rafael Perez-Jimenez (Madrid, Spain, 1965) received his B.S. and MsC in Tech. University of Madrid (1991) and his PhD at ULPGC (1995, hon.) where he is now a full professor. He has been chairing IDeTIC Research Institute from 2010 to 2020. His main research areas are in the field of wireless optical systems, where he has authored more than 250 scientific papers and book chapters. He was awarded the research prize from Vodaphone Foundation (2010) and the Honor Medal of RSEAPGC (2017). He is also serving at the evaluation division of the Spanish Research Agency

Cover iJET Vol. 17 No. 13 (2022)

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Published

2022-07-11

How to Cite

Aguiar-Castillo, L., Arce-Santana, E., Guerra-Yanez, C. ., Guerra-Yanez, V., & Perez-Jimenez, R. . (2022). Gamification: A Motivation Metric Based in a Markov Model. International Journal of Emerging Technologies in Learning (iJET), 17(13), pp. 17–34. https://doi.org/10.3991/ijet.v17i13.30781

Issue

Vol. 17 No. 13 (2022)

Section

Papers

License

Copyright (c) 2022 Dra. Lidia Aguiar-Castillo, Dr. Edgar Arce-Santana, Carlos Guerra-Yanez, Dr. Victor Guerra-Yanez, Dr. Rafael Perez-Jimenez

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