Student Assessment by Optimal Questionnaire Design

نویسندگان

  • Melisa Aruci
  • Giuseppina Lotito
  • Giuseppe Pirlo
چکیده

In this paper a new technique is presented for automatic design of optimal questionnaires. The technique, that is based on the Item Response Theory, performs multiple-choice item selection by a Genetic Algorithm. The experimental results demonstrate the validity of the proposed approach to adjust the characteristics of the questionnaire to the abilities of the student class.

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تاریخ انتشار 2016