MISTRAL: A Knowledge-Based System for Distance Education that Incorporates Neural Networks Techniques for Teaching Decisions

  • Authors:
  • L. Pedro Salcedo;M. Angélica Pinninghoff;A. Ricardo Contreras

  • Affiliations:
  • Research and Educational Informatics Department Informatics Engineering and Computer Science Department, Universidad de Concepción, Chile;Research and Educational Informatics Department Informatics Engineering and Computer Science Department, Universidad de Concepción, Chile;Research and Educational Informatics Department Informatics Engineering and Computer Science Department, Universidad de Concepción, Chile

  • Venue:
  • IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
  • Year:
  • 2009

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Abstract

This paper presents a general description of MISTRAL, a knowledge-based system for distance education that incorporates neural network techniques for teaching strategies planning. It is described the motivation to create such platform, the theoretical foundations supporting it, the services it offers to users and some results to discuss.