AMPLIA Learning Environment Architecture

  • Authors:

  • Cecilia Flores;Louise Seixas;João Gluz;Rosa Vicari;Diego Patrício;Felipe Giacomel;Leandro Gonçalves

  • Affiliations:

  • Federal University of Rio Grande do Sul, Informatics Institute (UFRGS), Brazil, dflores@inf.ufrgs.br;Federal University of Rio Grande do Sul, Informatics Institute (UFRGS), Brazil, dflores@inf.ufrgs.br;Digital Systems Engineering, State University of Rio Grande do Sul, Brazil;Federal University of Rio Grande do Sul, Informatics Institute (UFRGS), Brazil, dflores@inf.ufrgs.br;Federal University of Rio Grande do Sul, Informatics Institute (UFRGS), Brazil, dflores@inf.ufrgs.br;Federal University of Rio Grande do Sul, Informatics Institute (UFRGS), Brazil, dflores@inf.ufrgs.br;Federal University of Rio Grande do Sul, Informatics Institute (UFRGS), Brazil, dflores@inf.ufrgs.br

  • Venue:
  • Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
  • Year:
  • 2005

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Abstract

The architecture of a multi-agent learning environment (AMPLIA) is detailed. The design of each agent is divided into Decision, Operational and Interaction levels. Decisions are modeled by means of a probabilistic inference process. At the operational level, each agent has a different set of modules or software components and a single ontology is used in the communication, sharing knowledge and information. The learning process of a student at an experimental course is presented.