<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0104-4036</journal-id>
<journal-title><![CDATA[Ensaio: Avaliação e Políticas Públicas em Educação]]></journal-title>
<abbrev-journal-title><![CDATA[Ensaio: aval. pol. públ. educ.]]></abbrev-journal-title>
<issn>0104-4036</issn>
<publisher>
<publisher-name><![CDATA[Fundação CESGRANRIO]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0104-40362013000100004</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Bayesian computerized adaptive testing]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Veldkamp]]></surname>
<given-names><![CDATA[Bernard P.]]></given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Matteucci]]></surname>
<given-names><![CDATA[Mariagiulia]]></given-names>
</name>
</contrib>
</contrib-group>
<aff id="A04">
<institution><![CDATA[,University of Twente  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A04">
<institution><![CDATA[,University of Bologna  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2013</year>
</pub-date>
<volume>21</volume>
<numero>78</numero>
<fpage>57</fpage>
<lpage>81</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_arttext&amp;pid=S0104-40362013000100004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_abstract&amp;pid=S0104-40362013000100004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_pdf&amp;pid=S0104-40362013000100004&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Computerized adaptive testing (CAT) comes with many advantages. Unfortunately, it still is quite expensive to develop and maintain an operational CAT. In this paper, various steps involved in developing an operational CAT are described and literature on these topics is reviewed. Bayesian CAT is introduced as an alternative, and the use of empirical priors is proposed for estimating item and person parameters to reduce the costs of CAT. Methods to elicit empirical priors are presented and a two small examples are presented that illustrate the advantages of Bayesian CAT. Implications of the use of empirical priors are discussed, limitations are mentioned and some suggestions for further research are formulated.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[O teste adaptativo Computadorizado (CAT) chega com muitas vantagens. Infelizmente, ainda é bastante caro para desenvolver e manter um CAT operacional. Neste artigo, descreve-se várias etapas envolvidas no desenvolvimento de um CAT operacional e faz-se uma revisão da literatura nesse tópico. O CAT Bayesiano é introduzido como uma alternativa, e propõe-se o uso de prioris empíricas para estimar parâmetros de itens e de indivíduos com o objetivo de reduzir os custos de CAT. Apresenta-se métodos para obtenção de prioris empíricas e dois pequenos exemplos para ilustrar a vantagem do CAT Bayesiano. Discute-se algumas implicações no uso de prioris empíricas, menciona-se limitações e formula-se algumas sugestões para novas pesquisas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[El test adaptativo Computadorizado (CAT) tiene muchas ventajas. Aunque, infelizmente, es bastante caro desarrollar y mantener un CAT operacional. En este artículo se describen varias etapas de su desarrollo y se hace una revisión de literatura del tópico. El CAT Bayesiano aparece como una alternativa, y se propone el uso de prioris empíricas para estimar parámetros de ítems y de individuos con el objeto de reducir sus costos. Se presentan métodos para obtener prioris empíricas y dos pequeños ejemplos que ilustran la ventaja del CAT Bayesiano. Se discuten algunas implicaciones en el uso de prioris empíricas, se mencionan limitaciones y se formulan sugerencias para nuevas investigaciones.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Bayesian IRT Modeling]]></kwd>
<kwd lng="en"><![CDATA[Computerized Adaptive Testing]]></kwd>
<kwd lng="en"><![CDATA[Eliciting Priors]]></kwd>
<kwd lng="en"><![CDATA[Item Response Theory]]></kwd>
<kwd lng="en"><![CDATA[Item Selection]]></kwd>
<kwd lng="en"><![CDATA[Parameter Estimation]]></kwd>
<kwd lng="pt"><![CDATA[Modelagem Bayesiana da TRI]]></kwd>
<kwd lng="pt"><![CDATA[Teste Adaptativo Computadorizado]]></kwd>
<kwd lng="pt"><![CDATA[Obtenção de Priors]]></kwd>
<kwd lng="pt"><![CDATA[Teoria de Resposta ao Item]]></kwd>
<kwd lng="pt"><![CDATA[Seleção de Itens]]></kwd>
<kwd lng="pt"><![CDATA[Estimação de Parâmetros]]></kwd>
<kwd lng="es"><![CDATA[Modelo Bayesiano de la TRI]]></kwd>
<kwd lng="es"><![CDATA[Test Adaptativo Computadorizado]]></kwd>
<kwd lng="es"><![CDATA[Obtención de Prioris]]></kwd>
<kwd lng="es"><![CDATA[Teoría de Respuesta al Ítem]]></kwd>
<kwd lng="es"><![CDATA[Selección de Ítems]]></kwd>
<kwd lng="es"><![CDATA[Estimación de Parámetros]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  <font face="Arial, Helvetica, sans-serif"> <h2>Bayesian  computerized adaptive testing.</h2> <h3>Teste  adaptativo computadorizado bayesiano.</h3> <h3>Test  adaptativo computadorizado bayesiano.</h3>     <p>&nbsp;</p> <h4>Bernard P. Veldkamp, Mariagiulia Matteucci</h4> </font>      ]]></body><back>
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