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|Type:||Artigo de evento|
|Title:||Vocabulary Agents And Conscious Action Selection For Content Management In A Language Teaching Environment|
|Abstract:||This work proposes an agent-based architecture for Intelligent Language Tutoring Systems (ILTS) with content selection and sequencing mechanism that treats each lexeme of the target language (L2) as an autonomous agent whose goal is to be learned. This strategy creates a bottom-up approach that is flexible to adapt to changes in the pedagogical goals and to reproduce the gradual and contextualized nature of the first language (L1) acquisition. The proposed architecture is based on three main pillars: (i) the lexeme-agents compete for a limited resource, the course interface; (ii) the images used in the course scenes have metadata that describe them semantically, influencing the behavior of the agents and (iii) an ontology of L2 defines the semantic and syntactic relations of its lexemes and then underpins the action selection. © 2011 IADIS.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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