ALLEGRO: Teaching/Learning Multi-Agent Environment using Instructional Planning and Cases- Based Reasoning (CBR)

Authors

  • Rosa M. Viccari Universidade Federal do Rio Grande do Sul, Artificial Intelligence Group
  • Demetrio A. Ovalle Universidad Nacional de Colombia, Computer Science Department
  • Jovani A. Jimenez Universidad Nacional de Colombia, Computer Science Department,

DOI:

https://doi.org/10.19153/cleiej.10.1.4

Keywords:

Artificial Intelligence in Education, Multi-Agent System, Instructional Planning, Case-Based Reasoning

Abstract

This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (CSCL), Multi-Agent Systems (MAS) and the artificial intelligence techniques called: Instruc- tional Planning (IP) and Case-Based Reasoning (CBR). Finally ALLEGRO is presented, a MAS environment of support to the teaching/learning process that includes all previous artificial in- telligence elements.

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Published

2007-06-01

Issue

Vol. 10 No. 1 (2007): Regular Issue and Special Issue of Best Papers presented at CIESC 2005, Cali, Colombia

Section

Articles

License

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