Abstract
Currently, there are not effective mechanisms in virtual learning environments, that allow an early detection and diagnosis of learning failures. Incorporating this kind of elements into virtual learning environments could improve learning since the diagnosis provided by the system can design an action plan that contributes to the strengthening of the virtual course topics. The aim of this paper is to present the design and development of a multi-agent model for the assessment and diagnosis of failures which seeks to discover the shortcomings in learning from the virtual assessment process. In addition, the model looks for offering feedback and recommending new educational resources adapted to the learner’s profile. Based on the proposed model, a prototype was implemented and validated through a case study. The results obtained allow us to conclude that the students felt accompanied during the assessment process and obtained real-time feedback that identified shortcomings and allowed to recommend educational resources in order to strengthen their learning process.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Amelung, M., Krieger, K., Rosner, D.: E-assessment as a service. IEEE Trans. Learn. Technol. 4(2), 162–174 (2011)
Mora, N., Caballe, S., Daradoumis, T.: Improving e-assessment in collaborative and social learning settings. In: 2015 International Conference on Intelligent Networking and Collaborative Systems, pp. 288–293 (2015)
Feldman, A., Kalech, M., Provan, G.: Exploring the duality in conflict-directed model-based diagnosis. In: AAAI Association for the Advancement of Artificial Intelligence Journal (2012)
Thomas, P., Haley, D., deRoeck, A., Petre, M.: E-assessment using latent semantic analysis in the computer science domain: a pilot study, pp. 38–44 (2004)
Duque, N.D., Ovalle, D.A.: Artificial intelligence planning techniques for adaptive virtual course construction. DYNA 78(170), 70–78 (2011)
Raju, P., Ahmed, V.: Enabling technologies for developing next-generation learning object repository for construction. Autom. Constr. 22, 247–257 (2012)
Tramullas, J., Sánchez-Casabón, A.-I., Garrido-Picazo, P.: An evaluation based on the digital library user: an experience with greenstone software. Procedia - Soc. Behav. Sci. 73, 167–174 (2013)
Meditskos, G., Bassiliades, N.: A rule-based object-oriented OWL reasoner. IEEE Trans. Knowl. Data Eng. 20(3), 397–410 (2008)
Shoham, Y., Leyton-Brown, K.: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press, Cambridge (2008)
Wooldridge, M.: An Introduction to Multiagent Systems. Wiley, Hoboken (2009)
Scarlat, R., Stanescu, L., Popescu, E., Burdescu, D.D.: Case-based medical e-assessment system. In: 2010 10th IEEE International Conference on Advanced Learning Technologies, pp. 158–162 (2010)
Hajjej, F., Hlaoui, Y.B., Ben Ayed, L.J.: Personalized and generic E-assessment process based on cloud computing. In: 2015 IEEE 39th Annual Computer Software and Applications Conference, vol. 3, pp. 387–392 (2015)
Ahmad, S., Bokhari, M.: A new approach to multi agent based architecture for secure and effective e-learning. Int. J. Comput. Appl. 46(22), 26–29 (2012)
Salazar, O.M., Ovalle, D.A., Duque, N.D.: Adaptive and personalized educational ubiquitous multi-agent system using context-awareness services and mobile devices. In: Zaphiris, P., Ioannou, A. (eds.) LCT 2015. LNCS, vol. 9192, pp. 301–312. Springer, Cham (2015). doi:10.1007/978-3-319-20609-7_29
Felder, R., Silverman, L.: Learning styles and teaching styles in engineering education. In: Annual Meeting of the American Institute of Chemical Engineers (1987)
Lin, P., Thangarajah, J., Winikoff, M.: The prometheus design tool (PDT) supports the structured design of intelligent agent systems. In: Proceedings of the 23rd National Conference on Artificial Intelligence, vol. 3, pp. 1884–1885 (2008)
Carrera, Á., Iglesias, C.A., García-Algarra, J., Kolařík, D.: A real-life application of multi-agent systems for fault diagnosis in the provision of an Internet business service. J. Netw. Comput. Appl. 37, 146–154 (2014)
Bellifemine, F., Poggi, A., Rimassa, G.: JADE – A FIPA-compliant agent framework. In: Proceedings of PAAM (1999)
Bordini, R.H., Braubach, L., Dastani, M., El Fallah-Seghrouchni, A., Gomez-Sanz, J.J., Leite, J., Ricci, A.: A survey of programming languages and platforms for multi-agent systems. Informatica (Slovenia) 30(1), 33–44 (2006)
Allen, T.D., Shockley, K.M., Poteat, L.: Protégé anxiety attachment and feedback in mentoring relationships. J. Vocat. Behav. 77(1), 73–80 (2010)
McBride, B.: Jena: a semantic web toolkit. IEEE Internet Comput. 6(6), 55–59 (2002)
Acknowledgments
The research presented in this paper was partially funded by the COLCIENCIAS project entitled: “RAIM: Implementación de un frame work apoyado en tecnologías móviles y de realidad aumentada para entornos educativos ubicuos, adaptativos, accesibles e interactivos para todos” of the Universidad Nacional de Colombia, with code 1119569-34172. It was also developed with the support of the grant from “Programa Nacional de Formación de Investigadores – COLCIENCIAS”.
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
Salazar, O., Álvarez, S., Ovalle, D. (2017). Multi-agent Model for Failure Assessment and Diagnosis in Teaching-Learning Processes. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_34
Download citation
DOI: https://doi.org/10.1007/978-3-319-60285-1_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60284-4
Online ISBN: 978-3-319-60285-1
eBook Packages: Computer ScienceComputer Science (R0)