Abstract
In this paper, we propose a Fuzzy Cognitive Maps (FCMs) to recommender Learning Resources in a Smart Classroom. We have proposed a Smart Environment for a Classroom in previous works, based on Multi-agent Systems, called SaCI. One of its agents is a recommender system of Learning Resources. In this paper, we define this recommender system using Fuzzy Cognitive Maps. Our recommender system exploits the knowledge, learns, discovers new information, infers preferences, among other thing. For that, it uses five types of knowledge from SaCI: students, learning resources, topics, context and criticism. The performance results of our recommender system based on FCMs are very encouraging.
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
Similar content being viewed by others
References
Valdiviezo, P., Cordero, J., Aguilar, J., Sánchez, M.: Conceptual design of a smart classroom based on multiagent systems. In: International Conference on Artificial Intelligence (ICAI 2015), pp. 471–477 (2015)
Sánchez, M., Aguilar, J., Cordero, J., Valdiviezo, P.: A smart learning environment based on cloud learning. Int. J. Adv. Inf. Sci. Technol. 39, 39–52 (2015)
Sánchez, M., Aguilar, J., Cordero, J., Valdiviezo, P.: Basic features of a reflective middleware for intelligent learning environment in the cloud (IECL). In: Asia-Pacific Conference on Computer Aided System Engineering (APCASE), pp. 1–6 (2015)
Ricci, F., Rokach, L., Shapira, B., Kantor, P. (eds.): Recommender Systems Handbook: A Complete Guide for Research Scientists and Practitioners. Springer, New York (2011)
Aguilar, J., Valdiviezo, P., Riofrio, G.: A general framework for intelligent recommender systems. Appl. Comput. Inform. 13, 147–160 (2017). Elsevier
Aguilar, J.: Different dynamic causal relationship approaches for cognitive maps. Appl. Soft Comput. 13, 271–282 (2013). Elsevier
Aguilar, J.: A fuzzy cognitive map based on the random neural model. Lecture Notes in Artificial Intelligence, vol. 2070, pp. 333–338. Springer, Heidelberg (2001)
Aguilar, J.: Dynamic random fuzzy cognitive maps. Rev. Comput. Sist. Rev. Iberoam. Comput. 7, 260–271 (2004)
Rodriguez, A.C., Gago, J.M.S., Rifón, L.E.A., Rodríguez, R.P.: A recommender system for non-traditional educational resources: a semantic approach. J. Univ. Comput. Sci. 21, 306–325 (2015)
Rifon, L., Canas, A., Roris, V., Gago, J., Iglesias, M.: A recommender system for educational resources in specific learning contexts. In: 8th International Conference on Computer Science & Education (ICCSE), pp. 371–376 (2013)
Sikka, R., Dhankhar, A., Rana, C.: A survey paper on e-learning recommender system. Int. J. Comput. Appl. 47, 27–30 (2012)
Chrysafiadi, K., Virvou, M.: A knowledge representation approach using fuzzy cognitive maps for better navigation support in an adaptive learning system. SpringerPlus 2, 1–13 (2013)
Yesil, E., Ozturk, C., Dodurka, M.F., Sahin, A.: Control engineering education critical success factors modeling via fuzzy cognitive maps. In: International Conference on Information Technology Based Higher Education and Training, pp. 1–8 (2013)
Aguilar, J., Valdiviezo, P., Riofrio, G.: A fuzzy cognitive map like recommender system of learning resources. In: Proceeding of the IEEE World Congress on Computational Intelligence (WCCI), pp. 1539–1546 (2016)
Aguilar, J., Cordero, J., Chamba-Eras, L.: Specification of a smart classroom based on agent communities. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira M. (eds.) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 444, pp. 1003–1012. Springer, Cham (2016)
Aguilar, J., Rios, A., Hidrobo, F., Cerrada, M.: Sistemas MultiAgentes y sus aplicaciones en Automatización Industrial, Talleres Gráficos, Universidad de Los Andes (2013)
Aguilar, J., Besembel, I., Cerrada, M., Hidrobo, F., Narciso, F.: Una metodología para el modelado de sistemas de ingeniería orientado a agentes. Rev. Iberoam. Intel. Artif. 12(38), 39–60 (2008)
LOM-IEEE standard. http://ieeeltsc.org/wg12LOM/
IMS Global Learning. http://www.imsglobal.org/cc/index.htm
Contreras, J., Aguilar, J.: The FCM designer tool. In: Glykas, M. (ed.) Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Application, pp. 71–88. Springer, Heidelberg (2010)
Papageorgiou, E., Stylios, C., Groumpos, P.: An integrated two-level hierarchical system for decision making in radiation therapy based on fuzzy cognitive maps. IEEE Trans. Biomed. Eng. 50, 1326–1339 (2003)
Peng, Z., Wu, L.: Two-level fuzzy cognitive map mining for text categorization. Int. J. Digit. Content Technol. Appl. 6, 296–302 (2012)
Perozo, N., Aguilar, J., Terán, O., Molina, H.: A verification method for MASOES. IEEE Trans. Syst. Man Cybern. Part B 43(1), 64–76 (2013). Coautores
Aguilar, J., Fuentes, J., Moreno, K., Dos Santos, R., Altamiranda, J., Hernández, D.: Computational platform for the educational model based on the cloud paradigm. In: 45th Annual Frontiers in Education (FIE) Conference, pp. 2399–2407 (2015)
Acknowledgment
Dr. Aguilar has been partially supported by the Prometeo Project of the Ministry of Higher Education, Science, Technology and Innovation of the Republic of Ecuador. This work has been partially supported by the UTPL Project entitled: “Medios de Gestión de Servicios (Middleware) Inteligentes para Entornos de Aprendizaje Virtual”.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Aguilar, J., Valdiviezo-Diaz, P., Riofrio, G. (2018). A Recommender System Based on Cognitive Map for Smart Classrooms. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_41
Download citation
DOI: https://doi.org/10.1007/978-3-319-73450-7_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73449-1
Online ISBN: 978-3-319-73450-7
eBook Packages: EngineeringEngineering (R0)