DISTANCE LEARNING BY INTELLIGENT TUTORING SYSTEM - Part I: Agent-based architecture for user-centred adaptivity

Antonio Fernández-Caballero, José Manuel Gascueña, Federico Botella, Enrique Lazcorreta

2005

Abstract

Agent technology has been suggested by experts to be a promising approach to fully extend Intelligent Tutoring Systems (ITS). By using intelligent agents in an ITS architecture it is possible to obtain an individual tutoring system adaptive to the needs and characteristics of every student. The general architecture of the ITS proposed is formed by the three components that characterize an ITS – the Student Model, the Domain Model, and the Education Model. In the Student Model the knowledge that the system has about the student (profile and interaction with the system) is represented. In the Domain Model the knowledge about the contents to be taught is stored. Precisely, in this model four autonomous agents – the Preferences Agent, the Accounting Agent, the Exercises Agent and the Tests Agent - have been defined. Lastly, the Education Model provides the functionality that the teacher needs. Across this module, the teacher changes his preferences, gives reinforcement to the students, obtains statistics and consults the matter.

References

  1. Baldoni, M., Baroglio, C., Patti, V., 2004. Web-based adaptive tutoring: an approach based on logic agents and reasoning about actions. Artificial Intelligence Review, 22(1):3-39.
  2. Bello, P., Bringsjord, S., 2003. HILBERT & PATRIC: Hybrid intelligent agent technology for teaching context-independent reasoning. Educational Technology & Society, 6(3):30-42.
  3. Capuano, N., Marsella, M., Salerno, S., 2000. ABITS: An agent based Intelligent Tutoring System for distance learning. Proceedings of the International Workshop on Adaptive and Intelligent Web-Based Education Systems, ITS 2000.
  4. Cheikes, B.A., 1995. GIA: An agent-based architecture for Intelligent Tutoring Systems. Proceedings of the CIKM'95 Workshop on Intelligent Information Agents.
  5. de Antonio, A., Imbert, R., Ramirez, J., Mendez, G., 2003. An agent-based architecture for the development of intelligent virtual training environments. Second International Conference on Multimedia and ICTs in Education, m-ICTE 2003.
  6. Dorça, F.A., Lopes, C.R., Fernández. M.A., 2003. A multiagent architecture for distance education systems. Proceedings of the 3rd IEEE International Conference on Advanced Learning Technologies, ICALT'03, page 368.
  7. Franklin, S., Graesser, A., 1996. Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents. Intelligent Agents III, Agent Theories, Architectures, and Languages, ECAI 7896 Workshop (ATAL), Lecture Notes in Computer Science 1193:21-35.
  8. Frigo, L.B., Pozzebon, E., Bittencourt, G., 2004. O papel dos agentes inteligentes nos sistemas tutores inteligentes. World Congress on Engineering and Technology Education, page 86.
  9. Hospers, M., Kroezen, E., Nijholt, A., op den Akker, H.J.A., Heylen, D., 2003. An agent-based intelligent tutoring system for nurse education. In Applications of Intelligent Agents in Health Care, J. Nealon and A. Moreno (eds), pages 143-159.
  10. Kinshuk, Han, B., Hong, H., Patel, A., 2001. Student adaptivity in TILE: A client-server approach. Proceedings of IEEE International Conference on Advanced Learning Technologies, ICALT2001, pages 297-300.
  11. Millán, E., Agosta, J.M, Pérez J.L., 1999. Application of bayesian networks to student modelling. Proceedings of PEG'99: Intelligent Computer and Communications Technology: Teaching & Learning for the 21st Century.
  12. Mota, D., Oliveira, E., Mouta, F., 2004. MyClass: A Webbased system to support interactive learning in virtual environments. Workshop on Modelling Human Teaching. Tactics and Strategies.
  13. Peña, C.I., Marzo, J.L., de la Rosa, J.L., 2002. Intelligent agents in a teaching and learning environment on the Web. Proceedings of the 2nd IEEE International Conference on Advanced Learning Technologies, ICALT2002.
  14. Person, N.K., Graesser, A.C., and the Tutoring Research Group, 2000. Designing AutoTutor to be an effective conversational partner. Fourth International Conference of the Learning Sciences, pages 246-253.
  15. Shaw, E., Ganeshan, R., Johnson, W., Millar, D., 1999. Building a case for agent-assisted learning as a catalyst for curriculum reform in medical education. Proceedings of the International Conference on Artificial Intelligence in Education, pages 509-516.
  16. Tang, T.Y., Wu, A., 2000. The implementation of a multiagent intelligent tutoring system for the learning of computer programming. Proceedings of 16th IFIP World Computer Congress-International Conference on Educational Uses of Communication and Information Technology, ICEUT 2000.
  17. Pesty, S., Webber, C., 2004. The Baghera multiagent learning environment: an educational community of artificial and human agents. Upgrade, Journal of CEPIS (Council of European Professional Informatics Societies), 4:40-44.
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Paper Citation


in Harvard Style

Fernández-Caballero A., Manuel Gascueña J., Botella F. and Lazcorreta E. (2005). DISTANCE LEARNING BY INTELLIGENT TUTORING SYSTEM - Part I: Agent-based architecture for user-centred adaptivity . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 972-8865-19-8, pages 75-82. DOI: 10.5220/0002519500750082


in Bibtex Style

@conference{iceis05,
author={Antonio Fernández-Caballero and José Manuel Gascueña and Federico Botella and Enrique Lazcorreta},
title={DISTANCE LEARNING BY INTELLIGENT TUTORING SYSTEM - Part I: Agent-based architecture for user-centred adaptivity},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2005},
pages={75-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002519500750082},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - DISTANCE LEARNING BY INTELLIGENT TUTORING SYSTEM - Part I: Agent-based architecture for user-centred adaptivity
SN - 972-8865-19-8
AU - Fernández-Caballero A.
AU - Manuel Gascueña J.
AU - Botella F.
AU - Lazcorreta E.
PY - 2005
SP - 75
EP - 82
DO - 10.5220/0002519500750082