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                  <mods:namePart>Millán-Valldeperas, Eva</mods:namePart>
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                  <mods:namePart>Descalço, Luis</mods:namePart>
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                  <mods:namePart>Castillo, Gladys</mods:namePart>
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                  <mods:namePart>Oliveira, Paula</mods:namePart>
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                  <mods:namePart>Diogo, Sandra</mods:namePart>
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               <mods:identifier type="issn">0360-1315</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/10630/7068</mods:identifier>
               <mods:abstract>In this paper, we describe the integration and evaluation of an existing generic Bayesian student model&#xd;
(GBSM) into an existing computerized testing system within the Mathematics Education Project (PmatE -&#xd;
Projecto Matemática Ensino) of the University of Aveiro. This generic Bayesian student model had been&#xd;
previously evaluated with simulated students, but a real application was still missing. In the work&#xd;
presented here, we have used the GBSM to define Bayesian Student Models (BSMs) for a concrete&#xd;
domain: first degree equations. In order to test the diagnosis capabilities of such BSMs, an evaluation&#xd;
with 152 students has been performed. Each of the 152 students took both a computerized test within&#xd;
PMatE and a written exam, both of them designed to measure students’ knowledge in 12 concepts&#xd;
related to first degree equations. The written exam was graded by three experts. Then two BSMs were&#xd;
developed, one for the computer test and another one for the written exam. These BSMs were used to&#xd;
obtain estimations of student’s knowledge on the same 12 concepts, and the inter-rater agreement&#xd;
among the different measures was computed. Results show a high degree of agreement among the scores&#xd;
given by the experts and also among the diagnosis provided by the BSM in the written exam and expert’s&#xd;
average, but a low degree of agreement among the diagnosis provided by the BSM in the computer test&#xd;
and expert’s average</mods:abstract>
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               <mods:subject>
                  <mods:topic>Toma de desiciones</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Estadística bayesiana</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Using Bayesian networks to improve knowledge assessment</mods:title>
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