TURET2.0: Thesis Writing Tutor Aimed on Lexical Richness in Students' Texts

نویسندگان

  • Samuel González López
  • Aurelio López-López
  • Jesús Miguel García Gorrostieta
  • Indelfonso Rodríguez Espinoza
چکیده

Writing thesis is a process of constant interaction between the student and academic advisor, but writing correctly is a complex task for students even if they have the support of a teacher. The elaboration of the thesis document requires the implementation of a methodology and procedures, which constitute the elements of the format and structure in the thesis. This work shows an intelligent tutoring system (TURET2.0) designed in a web platform and which provides a customized tutoring for students in drafting their writings, specifically to evaluate the lexical richness of seven sections of the thesis. Moreover, as a way to motivate students to achieve their goals, some gamification techniques were implemented. The measures used to assess the lexical richness are lexical variety, lexical density and sophistication.

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عنوان ژورنال:
  • Research in Computing Science

دوره 129  شماره 

صفحات  -

تاریخ انتشار 2016