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2015 | OriginalPaper | Buchkapitel

Dynamic e-Learning Content Selection with BDI Agents

verfasst von : João de Amorim Jr., Thiago Ângelo Gelaim, Ricardo Azambuja Silveira

Erschienen in: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection

Verlag: Springer International Publishing

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Abstract

This paper presents an e-learning content selection model, based on multi-agent paradigm, aiming to facilitate the learning material reuse and adaptability on Learning Management Systems. The proposed model was developed according to a BDI multi-agent architecture, as an improvement of the Intelligent Learning Objects approach, allowing the dynamic selection of Learning Objects. A prototype was implemented to validate the proposed model, using the JADEX BDI V3 platform, and allowing to build improved learning experiences.

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Literatur
1.
Zurück zum Zitat Allison, C., Miller, A., Oliver, I., Michaelson, R., Tiropanis, T.: The Web in education. Comput. Netw. 56, 3811–3824 (2012). ElsevierCrossRef Allison, C., Miller, A., Oliver, I., Michaelson, R., Tiropanis, T.: The Web in education. Comput. Netw. 56, 3811–3824 (2012). ElsevierCrossRef
2.
Zurück zum Zitat Vesin, B., Klasnja-Milicevic, A., Ivanovic, M., Budimac, Z.: Applying recommender systems and adaptive hypermedia for e-learning personalization. Comput. Inform. 32, 629–659 (2013). Institute of Informatics Vesin, B., Klasnja-Milicevic, A., Ivanovic, M., Budimac, Z.: Applying recommender systems and adaptive hypermedia for e-learning personalization. Comput. Inform. 32, 629–659 (2013). Institute of Informatics
3.
Zurück zum Zitat Mahkameh, Y., Bahreininejad, A.: A context-aware adaptive learning system using agents. Expert Syst. Appl. 38, 3280–3286 (2011). ElsevierCrossRef Mahkameh, Y., Bahreininejad, A.: A context-aware adaptive learning system using agents. Expert Syst. Appl. 38, 3280–3286 (2011). ElsevierCrossRef
4.
Zurück zum Zitat Bachari, E., Abelwahed, E., Adnani, M.: E-learning personalization based on dynamic learners’ preference. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 3(3), 200–216 (2011) Bachari, E., Abelwahed, E., Adnani, M.: E-learning personalization based on dynamic learners’ preference. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 3(3), 200–216 (2011)
5.
Zurück zum Zitat Caeiro, M., Llamas, M., Anido, L.: PoEML: modeling learning units through perspectives. Comput. Standards Interfaces 36(2), 380–396 (2014). ElsevierCrossRef Caeiro, M., Llamas, M., Anido, L.: PoEML: modeling learning units through perspectives. Comput. Standards Interfaces 36(2), 380–396 (2014). ElsevierCrossRef
6.
Zurück zum Zitat Santos, G., Jorge, J.: Interoperable intelligent tutoring systems as open educational resources. IEEE Trans. Learn. Technol. 6(3), 271–282 (2013). IEEE CS & ES CrossRef Santos, G., Jorge, J.: Interoperable intelligent tutoring systems as open educational resources. IEEE Trans. Learn. Technol. 6(3), 271–282 (2013). IEEE CS & ES CrossRef
7.
Zurück zum Zitat Despotovic-Zrakic, M., Markovic, A., Bogdanovic, Z., Barac, D., Krco, S.: Providing adaptivity in moodle LMS courses. Int. Forum Educ. Tech. Soc. 15(1), 326–338 (2012). International Forum of Educational Technology & Society Despotovic-Zrakic, M., Markovic, A., Bogdanovic, Z., Barac, D., Krco, S.: Providing adaptivity in moodle LMS courses. Int. Forum Educ. Tech. Soc. 15(1), 326–338 (2012). International Forum of Educational Technology & Society
8.
Zurück zum Zitat Komlenov, Z., Budimac, Z., Ivanovic, M.: Introducing adaptivity features to a regular learning management system to support creation of advanced eLessons. Inform. Educ. 9(1), 63–80 (2010). Institute of Mathematics and Informatics Komlenov, Z., Budimac, Z., Ivanovic, M.: Introducing adaptivity features to a regular learning management system to support creation of advanced eLessons. Inform. Educ. 9(1), 63–80 (2010). Institute of Mathematics and Informatics
9.
Zurück zum Zitat Barak, M., Ziv, S.: Wandering: A web-based platform for the creation of location-based interactive learning objects. Comput. Educ. 62, 159–170 (2013). ElsevierCrossRef Barak, M., Ziv, S.: Wandering: A web-based platform for the creation of location-based interactive learning objects. Comput. Educ. 62, 159–170 (2013). ElsevierCrossRef
10.
Zurück zum Zitat Chen, C.: Intelligent web-based learning system with personalized learning path guidance. Comput. Educ. 51, 787–814 (2008). ElsevierCrossRef Chen, C.: Intelligent web-based learning system with personalized learning path guidance. Comput. Educ. 51, 787–814 (2008). ElsevierCrossRef
11.
Zurück zum Zitat Kurilovas, E., Zilinskiene, I., Dagiene, V.: Recommending suitable scenarios according to learners’ preferences: An improved swarm based approach. Comput. Hum. Behav. 30, 550–557 (2014). ElsevierCrossRef Kurilovas, E., Zilinskiene, I., Dagiene, V.: Recommending suitable scenarios according to learners’ preferences: An improved swarm based approach. Comput. Hum. Behav. 30, 550–557 (2014). ElsevierCrossRef
12.
Zurück zum Zitat Wooldridge, M.: An Introduction to MultiAgent Systems, 2nd edn. Wiley, New York (2009) Wooldridge, M.: An Introduction to MultiAgent Systems, 2nd edn. Wiley, New York (2009)
13.
Zurück zum Zitat Weiss, G. (ed.): Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. The MIT Press, Cambridge (1999) Weiss, G. (ed.): Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. The MIT Press, Cambridge (1999)
14.
Zurück zum Zitat Pokahr, A., Braubach, L., Haubeck, C., Ladiges, J.: Programming BDI agents with pure Java. In: Müller, J.P., Weyrich, M., Bazzan, A.L. (eds.) MATES 2014. LNCS, vol. 8732, pp. 216–233. Springer, Heidelberg (2014)CrossRef Pokahr, A., Braubach, L., Haubeck, C., Ladiges, J.: Programming BDI agents with pure Java. In: Müller, J.P., Weyrich, M., Bazzan, A.L. (eds.) MATES 2014. LNCS, vol. 8732, pp. 216–233. Springer, Heidelberg (2014)CrossRef
16.
Zurück zum Zitat Alencar, M., Netto, J.: Improving cooperation in virtual learning environments using multi-agent systems and AIML. In: 41st ASEE/IEEE Frontiers in Education Conference, Session F4C, pp. 1–6. IEEE (2011) Alencar, M., Netto, J.: Improving cooperation in virtual learning environments using multi-agent systems and AIML. In: 41st ASEE/IEEE Frontiers in Education Conference, Session F4C, pp. 1–6. IEEE (2011)
17.
Zurück zum Zitat Giuffra, P., Silveira, R.: A multi-agent system model to integrate virtual learning environments and intelligent tutoring systems. International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) 2(1), 51–58 (2013)CrossRef Giuffra, P., Silveira, R.: A multi-agent system model to integrate virtual learning environments and intelligent tutoring systems. International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) 2(1), 51–58 (2013)CrossRef
18.
Zurück zum Zitat Brown, E., Cristea, A., Stewart, C., Brailsford, T.: Patterns in authoring of adaptive educational hypermedia: a taxonomy of learning styles. Edu. Technol. Soc. 8(3), 77–90 (2005). International Forum of Educational Technology & Society Brown, E., Cristea, A., Stewart, C., Brailsford, T.: Patterns in authoring of adaptive educational hypermedia: a taxonomy of learning styles. Edu. Technol. Soc. 8(3), 77–90 (2005). International Forum of Educational Technology & Society
19.
Zurück zum Zitat Silveira, R., Gomes, E., Vicari, R.: Intelligent learning objects: an agent-based approach of learning objects. In: van Weert, T., Tatnall, A. (eds.) Information and Communication Technologies and Real-Life Learning. IFIP, vol. 182, pp. 103–110. Springer, Boston (2006) Silveira, R., Gomes, E., Vicari, R.: Intelligent learning objects: an agent-based approach of learning objects. In: van Weert, T., Tatnall, A. (eds.) Information and Communication Technologies and Real-Life Learning. IFIP, vol. 182, pp. 103–110. Springer, Boston (2006)
20.
Zurück zum Zitat Silva, J., Silveira, R.: The development of intelligent learning objects with an ontology based on SCORM standard. In: Seventh International Conference on Intelligent Systems Design and Applications, pp. 211–216. IEEE (2007) Silva, J., Silveira, R.: The development of intelligent learning objects with an ontology based on SCORM standard. In: Seventh International Conference on Intelligent Systems Design and Applications, pp. 211–216. IEEE (2007)
21.
Zurück zum Zitat Bavaresco, N., Silveira, R.: Proposal of an architecture to build intelligent learning objects based on BDI agents. In: XX Informatics in Education Brazilian Symposium (2009) Bavaresco, N., Silveira, R.: Proposal of an architecture to build intelligent learning objects based on BDI agents. In: XX Informatics in Education Brazilian Symposium (2009)
22.
Zurück zum Zitat Padgham, L., Winikoff, M.: Developing Intelligent Agent Systems – A practical guide. Wiley, New York (2004)CrossRef Padgham, L., Winikoff, M.: Developing Intelligent Agent Systems – A practical guide. Wiley, New York (2004)CrossRef
24.
Zurück zum Zitat Pokahr, A., Braubach, L., Jander, K.: The jadex project: programming model. In: Distributed Systems and Information Systems, Chap. 1, pp. 1–34. University of Hamburg (2012) Pokahr, A., Braubach, L., Jander, K.: The jadex project: programming model. In: Distributed Systems and Information Systems, Chap. 1, pp. 1–34. University of Hamburg (2012)
26.
Zurück zum Zitat Braubach, L., Pokahr, A.: Jadex Active Components Framework – BDI Agents for Disaster Rescue Coordination. University of Hamburg (2011) Braubach, L., Pokahr, A.: Jadex Active Components Framework – BDI Agents for Disaster Rescue Coordination. University of Hamburg (2011)
27.
Zurück zum Zitat Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley, New York (1995) Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley, New York (1995)
28.
Zurück zum Zitat Braubach, L., Pokahr, A.: Developing Distributed Systems with Active Components and JADEX. University of Hamburg (2012) Braubach, L., Pokahr, A.: Developing Distributed Systems with Active Components and JADEX. University of Hamburg (2012)
31.
Zurück zum Zitat Vian, J., Campos, R., Palomino, C., Silveira, R.: A multiagent model for searching learning objects in heterogeneous set of repositories. In: 2011 11th IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 48–52. IEEE (2011) Vian, J., Campos, R., Palomino, C., Silveira, R.: A multiagent model for searching learning objects in heterogeneous set of repositories. In: 2011 11th IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 48–52. IEEE (2011)
32.
Zurück zum Zitat Campos, R.L.R., Comarella, R.L., Silveira, R.A.: Multiagent based recommendation system model for indexing and retrieving learning objects. In: Corchado, J.M., Bajo, J., Kozlak, J., Pawlewski, P., Molina, J.M., Julian, V., Silveira, R.A., Unland, R., Giroux, S. (eds.) PAAMS 2013. CCIS, vol. 365, pp. 328–339. Springer, Heidelberg (2013)CrossRef Campos, R.L.R., Comarella, R.L., Silveira, R.A.: Multiagent based recommendation system model for indexing and retrieving learning objects. In: Corchado, J.M., Bajo, J., Kozlak, J., Pawlewski, P., Molina, J.M., Julian, V., Silveira, R.A., Unland, R., Giroux, S. (eds.) PAAMS 2013. CCIS, vol. 365, pp. 328–339. Springer, Heidelberg (2013)CrossRef
Metadaten
Titel
Dynamic e-Learning Content Selection with BDI Agents
verfasst von
João de Amorim Jr.
Thiago Ângelo Gelaim
Ricardo Azambuja Silveira
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-19033-4_25

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