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

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Artificial Neural Nets Problem Solving Methods (IWANN 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2687))

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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.

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Author information

Authors and Affiliations

  1. Research and Educational Informatics Department Informatics Engineering and Computer Science Department, Universidad de Concepción, Chile

    L. Pedro Salcedo, M. Angélica Pinninghoff & A. Ricardo Contreras

Authors
  1. L. Pedro Salcedo
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  2. M. Angélica Pinninghoff
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  3. A. Ricardo Contreras
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Editor information

Editors and Affiliations

  1. E.T.S. de Ingeniería Informática Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José Mira  & José R. Álvarez  & 

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© 2003 Springer-Verlag Berlin Heidelberg

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Pedro Salcedo, L., Angélica Pinninghoff, M., Ricardo Contreras, A. (2003). MISTRAL: A Knowledge-Based System for Distance Education that Incorporates Neural Networks Techniques for Teaching Decisions. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_92

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  • DOI: https://doi.org/10.1007/3-540-44869-1_92

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40211-4

  • Online ISBN: 978-3-540-44869-3

  • eBook Packages: Springer Book Archive

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