Systematizing game learning analytics for serious games

Christina Alonso - Fernandez, Antonio Calvo Morata, Manuel Freire, Iván Martínez - Ortiz, Baltasar Fernández Manjón

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

Abstract

Applying games in education provides multiple benefits clearly visible in entertainment games: their engaging, goal-oriented nature encourages students to improve while they play. Educational games, also known as Serious Games (SGs) are video games designed with a main purpose other than pure entertainment; their main purpose may be to teach, to change an attitude or behavior, or to create awareness of a certain issue. As educators and game developers, the validity and effectiveness of these games towards their defined educational purposes needs to be both measurable and measured. Fortunately, the highly interactive nature of games makes the application of Learning Analytics (LA) perfect to capture students’ interaction data with the purpose of better understanding or improving the learning process. However, there is a lack of widely adopted standards to communicate information between games and their tracking modules. Game Learning Analytics (GLA) combines the educational goals of LA with technologies that are commonplace in Game Analytics (GA), and also suffers from a lack of standards adoption that would facilitate its use across different SGs. In this paper, we describe two key steps towards the systematization of GLA: 1), the use of a newly-proposed standard tracking model to exchange information between the SG and the analytics platform, allowing reusable tracker components to be developed for each game engine or development platform; and 2), the use of standardized analysis and visualization assets to provide general but useful information for any SG that sends its data in the aforementioned format. These analysis and visualizations can be further customized and adapted for particular games when needed. We examine the use of this complete standard model in the GLA system currently under development for use in two EU H2020 SG projects.
Original languageEnglish
Title of host publicationProceedings of 2017 IEEE Global Engineering Education Conference (EDUCON)
Place of PublicationPiscataway, New Jersey
PublisherIEEE
Pages1106-1113
ISBN (Electronic)978-1-5090-5467-1
ISBN (Print)978-1-5090-5467-1
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventIEEE Global Engineering Education Conference (EDUCON) - Athens, Greece
Duration: 25 Apr 201728 Apr 2017
http://www.educon-conference.org/educon2017/

Publication series

NameIEEE Global Engineering Education Conference (EDUCON)
PublisherIEEE
ISSN (Electronic)2165-9567

Conference

ConferenceIEEE Global Engineering Education Conference (EDUCON)
Abbreviated titleEDUCON
CountryGreece
CityAthens
Period25/04/1728/04/17
Internet address

Fingerprint

Visualization
Students
Education
Serious games
Engines

Keywords

  • game analytics
  • serious games
  • e-learning
  • dashboard
  • xAPI

Cite this

Alonso - Fernandez, C., Calvo Morata, A., Freire, M., Martínez - Ortiz, I., & Manjón, B. F. (2017). Systematizing game learning analytics for serious games. In Proceedings of 2017 IEEE Global Engineering Education Conference (EDUCON) (pp. 1106-1113). (IEEE Global Engineering Education Conference (EDUCON)). Piscataway, New Jersey: IEEE. https://doi.org/10.1109/EDUCON.2017.7942988
Alonso - Fernandez, Christina ; Calvo Morata, Antonio ; Freire, Manuel ; Martínez - Ortiz, Iván ; Manjón, Baltasar Fernández. / Systematizing game learning analytics for serious games. Proceedings of 2017 IEEE Global Engineering Education Conference (EDUCON). Piscataway, New Jersey : IEEE, 2017. pp. 1106-1113 (IEEE Global Engineering Education Conference (EDUCON)).
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Alonso - Fernandez, C, Calvo Morata, A, Freire, M, Martínez - Ortiz, I & Manjón, BF 2017, Systematizing game learning analytics for serious games. in Proceedings of 2017 IEEE Global Engineering Education Conference (EDUCON). IEEE Global Engineering Education Conference (EDUCON), IEEE, Piscataway, New Jersey, pp. 1106-1113, IEEE Global Engineering Education Conference (EDUCON), Athens, Greece, 25/04/17. https://doi.org/10.1109/EDUCON.2017.7942988

Systematizing game learning analytics for serious games. / Alonso - Fernandez, Christina; Calvo Morata, Antonio; Freire, Manuel; Martínez - Ortiz, Iván; Manjón, Baltasar Fernández.

Proceedings of 2017 IEEE Global Engineering Education Conference (EDUCON). Piscataway, New Jersey : IEEE, 2017. p. 1106-1113 (IEEE Global Engineering Education Conference (EDUCON)).

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

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Alonso - Fernandez C, Calvo Morata A, Freire M, Martínez - Ortiz I, Manjón BF. Systematizing game learning analytics for serious games. In Proceedings of 2017 IEEE Global Engineering Education Conference (EDUCON). Piscataway, New Jersey: IEEE. 2017. p. 1106-1113. (IEEE Global Engineering Education Conference (EDUCON)). https://doi.org/10.1109/EDUCON.2017.7942988