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5 Implementation of the Intelligent Learning System SI-Aprende
In order to have an environment with a suitable training to certify personnel in
knowledge, skill, expertise, abilities and attitudes for operation of power systems, we
developed an Intelligent Learning System called SI-Aprende [6].
The SI-Aprende system manages, spreads and promotes the knowledge of the
power utility, by mean of the search and recovery of SCORM LOs. SI-Aprende
composed by computer based training components labeled as reusable learning
objects; a learning object repository; a tutor module based on decision networks to
select the best pedagogical action for each operator.
6 Conclusions and Future
ork
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In this paper we have presented the architecture of an Intelligent Environment for
training of Power Systems Operators. One of the components was described: the
Tutor Module, which contains the sequencing model. An empirical evaluation of the
sequencing model is presented using graduate students with good results. Based on
the conceptual model of the IE, we developed an Intelligent Learning System called
as SI-Aprende. SI-Aprende composed by computer based training components
labeled as reusable learning objects; a learning object repository; a tutor module based
on decision networks to select the best pedagogical action for each operator. The
intelligent tutor module will be a dynamic course generating system interacting with
the Operator Model to produce specific training material for each operator. Currently
SI-Aprende has been loaded with 130 learning objects for electric power operators
training.
References
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systems. Int. Journal Man-Machines Studies 24, 77-98 (1986)
2. Brusilovsky, P., Vassileva, J.: Course sequencing techniques for large-scale web based
education. Int. Journal Cont. Engineering Education and Lifelong Learning 13(1/2),
75-94 (2003)
3. Hernández, Y., Noguez, J., Sucar, E., Arroyo-Figueroa, G.: A probabilistic model of
affective behavior for intelligent tutoring systems. In: Gelbukh, A., de Albornoz, Á.,
Terashima-Marín, H. (eds.) MICAI 2005. LNCS (LNAI), vol. 3789, pp. 1175-1184.
Springer, Heidelberg (2005)
4. Arroyo-Figueroa, G., Hernández, Y., Reyes, A., Enrique Sucar, L.: Intelligent
Environment for training of power systems operators. In: CERMA 2008, pp. 27-31
(2008)
5. Hake, R.: Interactive-engagement versus traditional methods: A six-thousand-student
survey of mechanics test data for introductory physics courses. Am. J. Phys. 66(1), 64-
74 (1998)
6. Argotte, L.: Intelligent E- Learning model for adaptive sequence of learning objects.
Msc Thesis, Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus
Ciudad de México (2010) (in Spanish)
 
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