<?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>2007-7858</journal-id>
<journal-title><![CDATA[CienciaUAT]]></journal-title>
<abbrev-journal-title><![CDATA[CienciaUAT]]></abbrev-journal-title>
<issn>2007-7858</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma de Tamaulipas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-78582024000200124</article-id>
<article-id pub-id-type="doi">10.29059/cienciauat.v19i1.1879</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Agente conversacional como herramienta de apoyo en el aprendizaje del lenguaje C.]]></article-title>
<article-title xml:lang="en"><![CDATA[Conversational agent as a support tool for learning C Language]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vázquez-Aragón]]></surname>
<given-names><![CDATA[Ma. Rosario]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zavaleta-Carrillo]]></surname>
<given-names><![CDATA[Patricia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barradas-Arenas]]></surname>
<given-names><![CDATA[Ulises]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-Marín]]></surname>
<given-names><![CDATA[Gloria del Jesús]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma del Carmen Facultad de Ciencias de la Información ]]></institution>
<addr-line><![CDATA[Ciudad del Carmen Campeche]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma del Carmen Facultad de Ciencias Educativas ]]></institution>
<addr-line><![CDATA[Ciudad del Carmen Campeche]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>19</volume>
<numero>1</numero>
<fpage>124</fpage>
<lpage>139</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-78582024000200124&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-78582024000200124&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-78582024000200124&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Un agente conversacional, es un sistema de software, que permite emular la comunicación con un ser humano a través de mensajes de texto o voz. El objetivo de este trabajo fue evaluar la funcionalidad y usabilidad (eficacia, eficiencia, satisfacción) de un agente conversacional denominado Codebot, desarrollado en la Facultad de Ciencias de la Información, como herramienta de apoyo para facilitar el aprendizaje del lenguaje de Programación C de los estudiantes del programa educativo de Ingeniería en Sistemas Computacionales, así como, la experiencia y calidad hedónica (social) de la herramienta. El alcance del estudio fue descriptivo, con análisis cuantitativo. La recolección de datos fue transversal con muestras de distintos tamaños por conveniencia. Se empleó la Escala de Usabilidad del Sistema (SUS), que se extendió para evaluar tres aspectos: efectividad y eficiencia del bot, así como la satisfacción del usuario. La fiabilidad del instrumento fue de 0.93 alfa de Cronbach. El comportamiento del agente en la prueba funcional final arrojó 70 % de respuestas exitosas y un 30 % de solicitudes no reconocidas, debido a que: 1) la información solicitada no se encontraba en la base de conocimiento del agente, 2) solicitudes mal planteadas o sin sentido. El diseño e implementación del agente conversacional Codebot permitió obtener una base de conocimiento robustecida para mejorar el aprendizaje del lenguaje C, y su funcionamiento fue satisfactorio. Sin embargo, es necesario continuar con pruebas con mayor número de muestras que profundicen en las características sobre la creación del agente conversacional.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract A conversational agent is a software system that emulates communication with a human being through text or voice messages. The objective of this work was to evaluate the functionality and usability (effectiveness, efficiency, satisfaction) of a conversational agent called Codebot, developed at the Faculty of Information Sciences, as a support tool to facilitate the learning of C programming language by students of the Computer Systems Engineering program, as well as their experience and hedonic (social) quality of the tool. The scope of the study was descriptive, with quantitative analysis. The data collection was crosssectional with convenience samples of different sizes. The System Usability Scale (SUS) was used, which was extended to evaluate three aspects: effectiveness and efficiency of the bot, as well as user satisfaction. The reliability of the instrument was 0.93 Cronbach&#8217;s alpha. The behavior of the agent in the final functional test showed 70 % of successful responses and 30 % of unrecognized requests due to two main reasons: 1) the requested information was not in the agent&#8217;s knowledge base, 2) poorly formulated or meaningless requests. Desing and implementation of the conversational agent Codebot obtained a robust database to improve learning of the C language and its function was satisfactory. However, is necessary to continue with tests that include a larger number of samples that delve deeper into the characteristics regarding the creation of the conversational agent.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[agente conversacional]]></kwd>
<kwd lng="es"><![CDATA[usabilidad]]></kwd>
<kwd lng="es"><![CDATA[aprendizaje]]></kwd>
<kwd lng="es"><![CDATA[enseñanza]]></kwd>
<kwd lng="en"><![CDATA[conversational agent]]></kwd>
<kwd lng="en"><![CDATA[usability]]></kwd>
<kwd lng="en"><![CDATA[learning]]></kwd>
<kwd lng="en"><![CDATA[teaching]]></kwd>
</kwd-group>
</article-meta>
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<name>
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<article-title xml:lang=""><![CDATA[Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint]]></article-title>
<source><![CDATA[Journal of medical Internet research]]></source>
<year>2020</year>
<volume>22</volume>
<numero>9</numero>
<issue>9</issue>
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