Performance of Laboratory Experiments over the Internet: Towards an Intelligent Tutoring System on Automatic Control
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Performance of Laboratory Experiments over the Internet: Towards an Intelligent Tutoring System on Automatic Control

Authors: Kleanthis Prekas, Maria Rangoussi, Savvas Vassiliadis, George Prekas

Abstract:

Intelligent tutoring systems constitute an evolution of computer-aided educational software. We present here the modules of an intelligent tutoring system for Automatic Control, developed in our department. Through the software application developed,students can perform complete automatic control laboratory experiments, either over the departmental local area network or over the Internet. Monitoring of access to the system (local as well as international), along with student performance statistics, has yielded strongly encouraging results (as of fall 2004), despite the advanced technical content of the presented paradigm, thus showing the potential of the system developed for education and for training.

Keywords: Automatic control, tutoring system, Internet access, laboratory experiments.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077042

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References:


[1] H. L. Burns, and C. G. Capps, "Foundations of Intelligent Tutoring Systems: An Introduction," in Foundations of Intelligent Tutoring Systems. Hillsdale, NJ: Lawrence Erlbaum & Associates, 1988.
[2] P. L. Brusilovsky, "A framework for intelligent knowledge sequencing and task sequencing," in Proc. 2nd Int. Conf. Intelligent Tutoring Systems (ITS-92), Springer-Verlag, Berlin, 1992, pp. 499-506.
[3] P. L. Brusilovsky, L. Pesin, M. Zyryanov, "Towards an adaptive hypermedia component for an intelligent learning environment." In Human-Computer Interaction, Lecture Notes in Computer Science #753, L. J. Bass, J. Gornostaev, and C. Unger, Eds. Berlin: Springer-Verlag, 1993, pp. 348-358.
[4] K. VanLehn, Z. Niu, S. Siler, and A. S. Gertner, "Student modeling from conventional test data: A Bayesian approach without priors." in Proc. 4th Int. Conf. Intelligent Tutoring Systems (ITS-98), San Antonio, TX, 1998.
[5] C. Conati, and K. VanLehn, "Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation," in Proc. 5th Int. Conf. Intelligent Tutoring Systems (ITS-2000), Montreal, Canada, 2000.
[6] K. VanLehn et al., "Minimally invasive tutoring of complex physics problem solving," In Intelligent Tutoring Systems, Cerri, Gouarderes, Paraguacu, Eds. 2002, pp. 367-376.
[7] R. C. Dorf, R. H. Bishop, Modern Control Systems. Engle wood Cliffs, NJ: Prentice-Hall, 2001, ch. 4, 5.