E-EVALUATION TO DETECT LEARNING WEAKNESS - An Agent Based Architecture

Francisca Losavio, Nicole Levy, Parinaz Davari

2006

Abstract

A multi-agent architectural framework for evaluation in e-learning situations is proposed. The idea is to enable e-learning students to detect precisely their weaknesses in some goals within a course program. A course is composed of several objectives or goals to be mastered by students; a student can master some, but not necessarily all of them. Each of these objectives are in turn composed of sub-objectives. The architecture is focused as a tree of intermediate goals, where each node corresponds to a goal to be mastered, as each of its sub-goals. The flexibility of the architecture being a major concern, the goals to be mastered are dynamically defined based on the results of tests passed by the student. The corresponding educational materials are searched on demand and they can be located anywhere on the Web. The quality requirements of the architecture are specified and justified by a standard quality model. Our approach is illustrated with a case study of a computer architecture course.

References

  1. Farance, F. and Tonkel, J. (1998). Learning technology systems archcitecture (ltsa) specification. In Version 4.0, draft, page http://www.edutool.com/ltsa.
  2. Fernández-Caballero, A., López-Jaquero, V., Montero, F., and González, P. (2003). Adaptive interactor multiagent systems in e-learning/e-teaching on the web. In ICWE, pages 144-153.
  3. Garro, A. and Palopoli, L. (2002). An xml multi-agent system for e-learning and skill management.
  4. ISO/IEC (2001). Software engineering - product quality. Technical Report IEC 9126-1, ISO.
  5. Kiczales, G., Lamping, J., Mendhekar, A., Maeda, C., Lopes, C., Longtier, J.-M., and Irwin, J. (1997). Aspect-oriented programming. In Matsouka, M. A. . S., editor, ECOOP97 Object-Oriented Programming, pages 220-242. LNCS,vol. 1241.
  6. Krutchen, P. (1999). The Rational Unified Process. Addison Wesley, Massachusetts.
  7. Pankratius, V., Sandel, O., and Stucky, W. (2004). Retrieving content with agents in web service e-learning systems. In The Symposium on Professional Practice in AI, IFIF WG12.5 - First IFIP Conference on Artificial Intelligence and Innovations (AIAI), pages 144-153.
  8. Sousa, G., Soares, S., Borba, P., and Castro, J. (2004). Separation of crosscutting concerns from requirements to design: Adapting an use case driven approach. In proceedings of AOSD-2004, Lancaster, UK. Early Aspect 2004.
  9. Wooldridge, M. and Jennings, N. (1995). Intelligent agents: Theory and practice. Knowledge Engineering Review, 10(2):115-152.
Download


Paper Citation


in Harvard Style

Losavio F., Levy N. and Davari P. (2006). E-EVALUATION TO DETECT LEARNING WEAKNESS - An Agent Based Architecture . In Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-972-8865-47-4, pages 408-411. DOI: 10.5220/0001255204080411


in Bibtex Style

@conference{webist06,
author={Francisca Losavio and Nicole Levy and Parinaz Davari},
title={E-EVALUATION TO DETECT LEARNING WEAKNESS - An Agent Based Architecture},
booktitle={Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2006},
pages={408-411},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001255204080411},
isbn={978-972-8865-47-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - E-EVALUATION TO DETECT LEARNING WEAKNESS - An Agent Based Architecture
SN - 978-972-8865-47-4
AU - Losavio F.
AU - Levy N.
AU - Davari P.
PY - 2006
SP - 408
EP - 411
DO - 10.5220/0001255204080411