Simulation of University Education Process

Jiří Jelínek

Abstract

The article deals with one possible usage of agent based simulation. This method is advantageous for tasks that can be modeled through a set of basic building elements - agents and their interaction. This contribution shows an application of this approach for the simulation of university education. Conceptual model of university education based on AB modeling of the students was developed for this purpose. The aim was to develop a tool which could help to improve the quality of higher education processes through better knowledge about them obtained from their simulations.

References

  1. Ammar, M. B., Neji, M., Alimi, A. M. & Gouardères, G., 2010. The Affective Tutoring System. Expert Systems with Applications: An International Journal archive, 37(4), pp. 3013-3023.
  2. AnyLogic Company, 1992-2012. AnyLogic. [Online] Available at: http://www.anylogic.com [Accessed 2. 11. 2012].
  3. Argonne National Laboratory, 2012. Repast. [Online] Available at: http://repast.sourceforge.net/ [Accessed 15. 4. 2012].
  4. Ayala, A. P., 2009. Student Modelling Based on Ontologies. ACIIDS 7809 Proceedings of the 2009 First Asian Conference on Intelligent Information and Database Systems, pp. 392-397.
  5. Dimitrova, V., 2003. STyLE-OLM: Interactive Open Learner Modelling. International Journal of Artificial Intelligence in Education, 13(1), pp. 35-78.
  6. Eccles, D. W. & Groth, P. T., 2006. Agent coordination and communication in sociotechnological systems. Interacting with Computers, 18(6), pp. 1170-1185.
  7. Forrester, J. W., 1961. Industrial Dynamics. Cambridge, MA: MIT Press.
  8. Helgesen, O. & Nesset, E., 2009. Modelling and Managing Student Loyalty: A Study of a Norwegian University College. Scandinavian Journal of Educational Research, 53(4), p. 327 - 345.
  9. Izumi, K., Matsui, H. & Matsuo, Y., 2007. Socially embedded multi agent based simulation of financial market. Proceedings of the 6th international Joint Conference on Autonomous Agents and Multiagent Systems (Honolulu, Hawaii, May 14 - 18, 2007)..
  10. Komis, V., Avouris, N. & Fidas, C., 2002. ComputerSupported Collaborative Concept Mapping: Study of Synchronous Peer Interaction. Education and Information Technologies, 7(2), pp. 169-188.
  11. Siebers, P. O. & Aickelin, U., 2008. Introduction to MultiAgent Simulation. In: F. Adam & P. Humphreys, eds. Encyclopedia of Decision Making and Decision Support Technologies. Pennsylvania: Idea Group Publishing, pp. 554-564.
  12. Swarm Development Group, 2012. SWARM. [Online] Available at: http://www.swarm.org [Accessed 10. 5. 2012].
  13. Tang, Y., Parsons, S. & Sklar, E., 2006. Agent-based modeling of human education data. Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, pp. 129-131.
  14. Wilensky, U., 1999. NetLogo. [Online] Available at: http://ccl.northwestern.edu/netlogo/ [Accessed 22. 8. 2012].
  15. Xiang-Min, G. & Ming-Yong, P., 2010. Modeling and simulating dynamic evolvement of collective learning behaviors by Voronoi diagram. Proceedings LSMS/ICSEE'10, pp. 548-554.
Download


Paper Citation


in Harvard Style

Jelínek J. (2013). Simulation of University Education Process . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8565-38-9, pages 403-406. DOI: 10.5220/0004258904030406


in Bibtex Style

@conference{icaart13,
author={Jiří Jelínek},
title={Simulation of University Education Process},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2013},
pages={403-406},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004258904030406},
isbn={978-989-8565-38-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Simulation of University Education Process
SN - 978-989-8565-38-9
AU - Jelínek J.
PY - 2013
SP - 403
EP - 406
DO - 10.5220/0004258904030406