DISTANCE LEARNING BY INTELLIGENT TUTORING SYSTEM - Part II: Student/teacher adaptivity in an Engineering Course

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

2005

Abstract

Intelligent Tutoring Systems (ITS) have proven their worth in multiple ways and in multiple domains in Education. In this article the application of an Intelligent Tutoring System to an Engineering Course is introduced. The paper also introduces an explanation of how the course adapts to the students as well as to the teachers. User adaptation is provided by means of the so called pedagogical strategies, which among others specify how to proceed in showing the contents of the matter for a better assimilation of the knowledge by the student. Thus, in this paper the adaptation mechanisms implemented in the ITS, which permit that the students learn better and the professors teach better, are explained in extensive.

References

  1. Anderson, J.R., Corbett, A.T , Koedinger, K.R., Pelletier, R., 1995. Cognitive tutors: Lessons learned. The Journal of the Learning Sciences, 4: 167-207.
  2. Bennane, A., 2002. An approach of reinforcement learning use in tutoring systems. International Conference on Intelligent Tutoring System, ITS 2002. Lecture Notes in Computer Science, 2363: 993.
  3. Boulay, B., Luckin, R., 2001. Modelling human teaching tactics and strategies for tutoring systems. International Journal of Artificial Intelligence in Education, 12:235-256.
  4. Butz, C.J., Hua, S., Maguire, R.B., 2004. Bits: A Bayesian Intelligent Tutoring System for computer programming. Western Canadian Conference on Computing Education.
  5. Crowley, R.S., and Medvedeva, O., 2003. A general architecture for intelligent tutoring of diagnostic classification problem solving. Proceedings of the Annual AMIA Syposium, pages 185-189.
  6. Gertner, A., VanLehn, K. 2000. Andes: A coached problem solving environment for physics. Intelligent Turing Systems: 5th International Conference, ITS 2000, Lecture Notes in Computer Science, 1839:133- 142.
  7. Heffernan, N.T., Koedinger, K.R., 2002. An Intelligent Tutoring System incorporating a model of an experienced human tutor. International Conference on Intelligent Tutoring System, ITS 2002. Lecture Notes in Computer Science, 2363:596-608.
  8. Jeremic, Z., Devedzic, V., Gasevic, D., 2004. An Intelligent Tutoring System for learning design patterns. International Workshop on Adaptative Hypermedia and Collaborative Web-based Systems, AHCW' 04.
  9. Koedinger, K.R., Anderson, J.R., 1997. Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8:30-43.
  10. Martens, A., 2004. Case-based training with Intelligent Tutoring Systems. Proceedings of the The 4th IEEE International Conference on Advanced Learning Technologies.
  11. Meyer, C., 2002. Hypermedia environment for learning concepts based on inter-domain analogies as an educational strategy. International Conference on Intelligent Tutoring System, ITS 2002. Lecture Notes in Computer Science, 2363:281-290.
  12. 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.
  13. Mitrovic, A., Martin, B., Mayo, M., 2002. Using evaluation to shape ITS design: Results and experiences with SQL-Tutor. International Journal of User Modeling and User-Adapted Interaction, 12(2- 3):243-279.
  14. Murray, T., 1999. Authoring Intelligent Tutoring Systems: An analysis of the state of the art. International Journal of Artificial Intelligence in Education, 10:98-129.
  15. Nicaud, J.F, Bouhineau, D., Huguet, T., 2002. The Aplusix-Editor: A new kind of software for the learning of algebra. Intelligent Tutoring Systems, ITS 2002. Lectures Notes in Computer Science, 2363:178- 187.
  16. Prentzas, J., Hatzilygeroudis, I., Garofalakis J., 2002. Web-based Intelligent Tutoring Systems using hybrid rules as its representational basis. Intelligent Tutoring Systems, ITS 2002. Lectures Notes in Computer Science, 2363:119-128.
  17. Suraweera, P., Mitrovic, A., 2002. KERMIT: A constraintbased tutor for database modeling. Intelligent Tutoring Systems, ITS 2002. Lectures Notes in Computer Science, 2363:337-387.
  18. Sykes, E.R., and Franek, F., 2003. A prototype for an Intelligent Tutoring System for students learning to program in Java. Proceedings of IASTED International Conference on Computers and Advanced Technology in Education, CATE2003, pages. 78-83 .
  19. VanLehn, K., Jordan P.W., Rosé, C.P., Bhembe, D., Böttner, M., Gaydos, A., Makatchev, M., Pappuswamy, U., Ringenberg, M, Roque, A., Siler, S., Srivastava, R., 2002. The architecture of Why2-Atlas: A coach for qualitative physics essay writing. Intelligent Tutoring Systems, ITS 2002. Lectures Notes in Computer Science, 2363:158-167.
  20. Weber, G., Brusilovsky, P., 2001. ELM-ART: An adaptive versatile system for Web-based instruction. International Journal of Artificial Intelligence in Education, 12:351-384
  21. Woolf, B.P., Beck, J., Eliot, C., Stern, M., 2001. Growth and maturity of intelligent tutoring systems: A status report. In Smart Machines in Education, AAAI/MIT Press, pages 99-144.
Download


Paper Citation


in Harvard Style

Manuel Gascueña J., Fernández-Caballero A., Lazcorreta E. and Botella F. (2005). DISTANCE LEARNING BY INTELLIGENT TUTORING SYSTEM - Part II: Student/teacher adaptivity in an Engineering Course . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 972-8865-19-8, pages 148-153. DOI: 10.5220/0002519601480153


in Bibtex Style

@conference{iceis05,
author={José Manuel Gascueña and Antonio Fernández-Caballero and Enrique Lazcorreta and Federico Botella},
title={DISTANCE LEARNING BY INTELLIGENT TUTORING SYSTEM - Part II: Student/teacher adaptivity in an Engineering Course},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2005},
pages={148-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002519601480153},
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 II: Student/teacher adaptivity in an Engineering Course
SN - 972-8865-19-8
AU - Manuel Gascueña J.
AU - Fernández-Caballero A.
AU - Lazcorreta E.
AU - Botella F.
PY - 2005
SP - 148
EP - 153
DO - 10.5220/0002519601480153