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An Intelligent Tutoring System to Evaluate and Advise on Lexical Richness in Students Writings

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 8095)

Abstract

Lexical competence, the writer ability to use properly vocabulary, becomes a basic issue of a writing instructor when reviewing drafts. Here, we present the basic part of a web-based intelligent tutoring system to provide student guidance and evaluation in structuring research proposals. We elaborate a network-based model to follow the progress of each student in the development of the project, supply assignments and personalized feedback on each evaluation. This tutor includes for now a module for assessing the lexical richness, in terms of three measures: variety, density, and sophistication, that are described. We also explain the methodology for pilot testing with undergraduate students, whose results were encouraging, indicating that the tutor indeed helps students.

Keywords

intelligent tutoring system lexical richness density variety sophistication 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Universidad de la SierraMoctezumaMéxico
  2. 2.Instituto Nacional de Astrofísica, Óptica y ElectrónicaMéxico
  3. 3.Facultad de Ciencias de la ComputaciónBUAPMéxico

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