SI-APRENDE: An Intelligent Learning System ased on SCORM Learning Objects for Training Power Systems Operators - Developing Concepts in Applied Intelligence - page 33

SI-APRENDE: An Intelligent Learning System ased on
SCORM Learning Objects for Training Power Systems
Operators

B

Liliana Argotte 1 , G. Arroyo-Figueroa 1 , and Julieta Noguez 2

1 Instituto de Investigaciones Electricas
Cuernavaca, Morelos, 62490, Mexico
{largotte, garroyo}@iie.org.mx
2 Tecnologico de Monterrey, Campus Ciudad de Mexico,
Mexico, D.F., 14380, Mexico
[e-mail]

Abstract. This paper presents the architecture of the Intelligent Learning
Systems for training of power systems operators and describes one of its
components: the tutor module. Operators can acquire knowledge in different
ways or with different paths of learning, also called models of sequence. The
tutor model is an adaptive intelligent system that selects the sequence of the
learning material presented to each operator. The adaptive sequence is
represented as a decision network that selects the best pedagogical action for
each specific operator. The decision network represents information about the
current state of the tutor, their possible actions, the state resulting from the
action of the tutor and the usefulness of the resulting state. The model was
evaluated using graduate students with good results. Based on the adaptive
model, we developed an Intelligent Learning System called as SI-Aprende. The
SI-Aprende system manages, spreads and promotes the knowledge by mean of
the search and recovery of SCORM Learning Objects.

Keywords: adaptive learning, intelligent environment, learning objects,
SCORM, sequencing model.

1 Introduction

Training of operators is an important problem faced by electrical power plants. The
process of learning how to control, maintain and diagnose in a complex industrial
environment takes years of practice and training. An operator must comprehend the
physical operation of the process and must be skilled in handling a number of
abnormal operating problems and emergencies. The problem increases when the
complexity of the system obstructs the efficiency, reliability and safe operation.
Therefore, the novice and experienced operators need continuous training in order to
deal reliably with uncommon situations.
Most of the learning proposals of intelligent systems in education are based on
Intelligent Tutoring Systems (ITS) [1], which are interactive learning environments
that have the ability to adapt to a specific student during the teaching process.