A Framework to Provide Real Time Useful Knowledge in E-Learning Environments

Àngela Nebot, Francisco Mugica, Félix Castro

2012

Abstract

This research presents a framework that provides valuable knowledge to teachers and students, mainly based on fuzzy logic methodologies. The framework offers the following knowledge: 1) gives a sets of rules describing the students’ learning behaviour; 2) provides a relative assessment of the features involved in the students’ evaluation performance, i.e. detects and assess the most important topics involved in the course evaluation process; 3) groups the learning behaviour of the students involved in online courses, in an incremental and dynamical way, with the ultimate goal to timely detect failing students, and properly provide them with a suitable and actionable feedback. In this paper the proposed framework is applied to the Didactic Planning course of Centre of Studies in Communication and Educational Technologies virtual campus. The application shows it usefulness, improving the course understanding and providing valuable knowledge to teachers about the course performance.

References

  1. Castro, F., Vellido, A., Nebot, A. & Mugica, F. (2007). Applying Data Mining Techniques to e-Learning Problems. In L. C. Jain, R. A. Tedman & D. K. Tedman, Evolution of Teaching and Learning Paradigms in Intelligent Environment. Studies in Computational Intelligence, 62 (pp. 183-221). Ger.: Springer-Verlag.
  2. Castro, F., Nebot, A., Múgica, F. (2009). On the extraction of decision support rules from fuzzy predictive models. In Revision at Applied Soft Computing (2009).
  3. Klir, G. and Elias, D. (2002). Architecture of Systems Problem Solving (2nd ed.). NY: Plenum Press.
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  5. Nebot, A., Mugica, F. and Castro, F. (2009). Causal Relevance to Improve the Prediction Accuracy of Dynamical Systems using Inductive Reasoning. Inter. Journal of General Systems, 331-358, 38 (2).
  6. Romero, C., Ventura, S., De Bra, P., De Castro, C.(2003). Discovering Prediction Rules in AHA! Courses. In Proceedings of the User Modelling Conference. Johnstown, Pennsylvania (pp. 35-44).
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Paper Citation


in Harvard Style

Nebot À., Mugica F. and Castro F. (2012). A Framework to Provide Real Time Useful Knowledge in E-Learning Environments . In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8565-20-4, pages 103-108. DOI: 10.5220/0004055401030108


in Bibtex Style

@conference{simultech12,
author={Àngela Nebot and Francisco Mugica and Félix Castro},
title={A Framework to Provide Real Time Useful Knowledge in E-Learning Environments},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2012},
pages={103-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004055401030108},
isbn={978-989-8565-20-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - A Framework to Provide Real Time Useful Knowledge in E-Learning Environments
SN - 978-989-8565-20-4
AU - Nebot À.
AU - Mugica F.
AU - Castro F.
PY - 2012
SP - 103
EP - 108
DO - 10.5220/0004055401030108