Abstract
Educational games can greatly benefit from integrating support for learning analytics. Game authoring tools that make this integration as easy as possible are therefore an important step towards improving adoption of educational games. We describe the process of integrating full support for game learning analytics into uAdventure, a serious game authoring tool. We argue that such integrations greatly systematize, simplify and reduce both the cost and the knowledge required to apply analytics to serious games. In uAdventure, we have used an analytics model for serious games and its supporting implementation as a xAPI application. We describe how player interactions are automatically traced, and provide an interaction-model-trace table with the general game traces that are generated by the editor. Also, we describe the custom editors that simplify the task of authoring game-dependant analytics. Thanks to these integrated analytics, games developed with uAdventure provide detailed tracking information that can be sent to a cloud analytics server, to be analyzed and visualized with dashboards that provide game developers and educators with insights into how games are being played.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Seif El-Nasr, M., Drachen, A., Canossa, A.: Game Analytics. Springer, London (2013)
Elias, T.: Learning analytics: definitions, processes and potential. Learning 23, 134–148 (2011)
Freire, M., Serrano-Laguna, Á., Iglesias, B.M., Martínez-Ortiz, I., Moreno-Ger, P., Fernández-Manjón, B., Analytics, G.L.: Learning analytics for serious games. İn: Spector, M.J. et al. (eds.) Learning, Design, and Technology, pp. 1–29. Springer, Cham (2016)
Perez Colado, I., Perez Colado, V., Martínez-Ortiz, I., Freire, M., Fernandez-Manjon, B.: uAdventure: the eAdventure reboot - combining the experience of commercial gaming tools and tailored educational tools. In: IEEE Global Engineering Education Conference, pp. 1754–1761, April 2017
Torrente, J., del Blanco, A., Marchiori, E.J., Moreno-Ger, P., Fernandez-Manjon, B.: <e-Adventure>: introducing educational games in the learning process. In: IEEE EDUCON 2010 Conference, pp. 1121–1126 (2010)
Serrano-Laguna, A., Martinez-Ortiz, I., Haag, J., Regan, D., Johnson, A., Fernandez-Manjon, B.: Applying standards to systematize learning analytics in serious games. Comput. Stand. Interfaces 50, 116–123 (2016)
xAPI - ADL Net @ www.adlnet.gov
Serrano-laguna, Á., Torrente, J., Moreno-ger, P., Fernández-manjón, B.: Tracing a little for big ımprovements: application of learning analytics and videogames for student assessment. Procedia Comput. Sci. 15, 203–209 (2012)
Alonso-Fernandez, C., Calvo, A., Freire, M., Martinez-Ortiz, I., Fernandez-Manjon, B.: Systematizing game learning analytics for serious games. In: 2017 IEEE Global Engineering Education Conference, pp. 1106–1113, April 2017
Bienkowski, M., Feng, M., Means, B.: Enhancing teaching and learning through educational data mining and learning analytics: an issue brief. Washington, DC SRI International, pp. 1–57 (2012)
Mehm, F., Göbel, S., Steinmetz, R.: An authoring tool for educational adventure games. Int. J. Game-Based Learn. 3(1), 63–79 (2013)
Acknowledgement
This work has been partially funded by Regional Government of Madrid (eMadrid S2013/ICE-2715), by the Ministry of Education (TIN2013-46149-C2-1-R) and by the European Commission (RAGE H2020-ICT-2014-1-644187, BEACONING H2020-ICT-2015-687676).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Perez-Colado, I.J., Perez-Colado, V.M., Freire-Moran, M., Martinez-Ortiz, I., Fernandez-Manjon, B. (2017). Integrating Learning Analytics into a Game Authoring Tool. In: Xie, H., Popescu, E., Hancke, G., Fernández Manjón, B. (eds) Advances in Web-Based Learning – ICWL 2017. ICWL 2017. Lecture Notes in Computer Science(), vol 10473. Springer, Cham. https://doi.org/10.1007/978-3-319-66733-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-66733-1_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66732-4
Online ISBN: 978-3-319-66733-1
eBook Packages: Computer ScienceComputer Science (R0)