Implementation of artificial neural networks in an intelligent tutorial system oriented to the learning of algebra

Published 2019-02-08
Artículos

Abstract

This article proposes the development of an Intelligent Tutoring System (ITS) to accompany the learning process of Algebra, by means of an Artificial Intelligence (AI) technique. In order to develop the system, the following methodology was used: first, a characterization of the topics of Algebra was carried out; then, the "Domain, Interface", "Gamification" and "Student" modules of the Intelligent Tutoring System were designed  for the construction of an ITS prototype; subsequently, an AI technique was selected for the design of the tutor module.
The novelty of this prototype consists of its ability to adapt to the student's knowledge through an Artificial Neural Network, allowing it to respond to the learning needs that may arise, making use of the student's knowledge regarding the different topics in algebra, information that is obtained at the hand of a record that is generated through the use of the system, which favors the selection of the most relevant activity for each student.

Authors

  • David Montoya Pérez

    Politécnico Colombiano Jaime Isaza Cadavid

  • Sandra P. Mateus Santiago

    Politécnico Colombiano Jaime Isaza Cadavid

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