Abstract
A serious game can be defined as an e-learning system that aims to motivate and entertain students while achieving learning objectives related to problem solving, specific topics, or skills development, always focused on improving learning. The aim of this paper is to offer methodological guidelines to build collaborative serious games based on intelligent agents along with awareness services in order to support virtual learning processes. This methodological guide offers a breakdown of the main activities needed to build this kind of systems based on three components: the knowledge representation of the domain to which the collaborative serious game is oriented, the development of the MAS, and finally the description and integration of awareness services. The preliminary validation of methodological guidelines through a prototype development shows that the integration of these kinds of technologies fosters the knowledge acquisition in a playful way by the students while learning in a collaborative way.
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References
Mclain, M.L.: Collaborative game based learning of post-disaster management. In: Proceedings International Conference in Technology for Education (T4E), pp. 80–87 (2016)
El-Ghouli, L., Khoukhi, F.: Contributions of serious games on adaptive learning systems. In: Proceedings International Conference on Intelligent Systems: Theories and Applications (SITA) (2016)
Palfreyman, K., Rodden, T.: A protocol for users awareness on the world wide web. In: Proceedings of CSCW 1996, USA, pp. 130–139 (1996)
Gaver, W.: Sound support for collaboration. In: Proceedings of the ESCW 1091, pp. 293–308 (1991)
Dourish, P., Bellotti, V.: Awareness and coordination in shared workspaces. In: Proceedings of ACM Conference on Computer Supported Cooperative Work (CSCW 1992). ACM Press, Toronto (1992)
Kudenko, D., Kazakov, D., Alonso, E.: Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, vol. 4865 (2008)
Berners-Lee, T., Hendler, J.: Publishing on the semantic web. Nature 410(6832), 1023–1024 (2001)
Tramullas, J., Sánchez-Casabón, J., Garrido-Picazo, P.: An evaluation based on the digital library user: an experience with greenstone software. Proc. Soc. Behav. Sci. 73, 167–174 (2013)
González-González, C.S., Toledo-Delgado, P.A., Muñoz-Cruz, V., Torres-Carrion, P.V.: Serious games for rehabilitation: gestural interaction in personalized gamified exercises through a recommender system. J. Biomed. Inf. 97, 103266 (2019)
Proffitt, R., Sevick, M., Chang, C.-Y., Lange, B.: User-centered design of a controller-free game for hand rehabilitation. Games Health J. 4(4), 259–264 (2015)
Rego, P.A., Moreira, P.M., Reis, L.P.: A serious games framework for health rehabilitation. Int. J. Healthc. Inf. Syst. Inf. 9(3), 1–21 (2014)
Salazar, O.M., Álvarez, S., Ovalle, D.: EOLo: a serious mobile game to support learning processes. In: Methodologies and Intelligent Systems for Technology Enhanced Learning, pp. 118–125 (2017)
Allal-Chérif, O., Bidan, M.: Collaborative open training with serious games: relations, culture, knowledge, innovation, and desire. J. Innov. Knowl. 2, 31–38 (2017)
Cooper, S., Sahami, M.: Reflections on Stanford’s MOOCs. Commun. ACM 56(2), 28–30 (2013)
Lhafiane, F., Elbyed, A., Bouchoum, M.: Multi-agent system architecture oriented prometheus methodology design for reverse logistics. Int. J. Comput. Electr. Autom. Control Inf. Eng. 9(8), 1914–1920 (2015)
Giorgini, P., Henderson-Sellers, B.: Agent-Oriented Methodologies. IGI Global (2005)
Álvarez, S., Salazar, O.M., Ovalle, D.A.: Modelo basado en agentes para la detección de fallas cognitivas en entornos de aprendizaje colaborativo. Inf. Tecnol. 29(5), 289–298 (2018)
Matazi, I., Bennane, A., Messoussi, R., Touahni, R., Oumaira, I., Korchiyne, R.: Multi-agent system based on fuzzy logic for E-learning collaborative system. In: International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2018 - Proceedings, pp. 1–7 (2018)
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This research was partially funded by the doctoral scholarship offered to Oscar Salazar by COLCIENCIAS (Colombian Department for Science and Technology Development) through grant # 761 “Convocatoria Nacional de Jóvenes Investigadores e Innovadores 2016”.
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Salazar, O.M., Álvarez, S., Ovalle, D.A. (2020). Methodological Guidelines to Build Collaborative Serious Games Based on Intelligent Agents. In: Vittorini, P., Di Mascio, T., Tarantino, L., Temperini, M., Gennari, R., De la Prieta, F. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, 10th International Conference. MIS4TEL 2020. Advances in Intelligent Systems and Computing, vol 1241. Springer, Cham. https://doi.org/10.1007/978-3-030-52538-5_17
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