Design of an Intelligent Agent for Personalization of Moodle's Contents

نویسندگان

  • María Lucila Morales-Rodríguez
  • Apolinar Ramírez-Saldivar
  • Julia Patricia Sánchez-Solís
  • Arturo Hernández-Ramírez
چکیده

This paper presents the architecture of an Intelligent Learning Management System (ILMS) applied to Moodle. Specifically, we present the design and implementation of an agent that select the teaching strategy according to the student's learning style. The chosen teaching strategy is used to filter the learning objects that are displayed to the students.

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عنوان ژورنال:
  • Research in Computing Science

دوره 56  شماره 

صفحات  -

تاریخ انتشار 2012