<?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>0016-3813</journal-id>
<journal-title><![CDATA[Gaceta médica de México]]></journal-title>
<abbrev-journal-title><![CDATA[Gac. Méd. Méx]]></abbrev-journal-title>
<issn>0016-3813</issn>
<publisher>
<publisher-name><![CDATA[Academia Nacional de Medicina de México A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0016-38132019000100090</article-id>
<article-id pub-id-type="doi">10.24875/gmm.18004801</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[La analítica del aprendizaje en educación médica: ¿punto de inflexión?]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez-Mendiola]]></surname>
<given-names><![CDATA[Melchor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno-Salinas]]></surname>
<given-names><![CDATA[José Gerardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bautista-Godínez]]></surname>
<given-names><![CDATA[Tomás]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-González]]></surname>
<given-names><![CDATA[Adrián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Autónoma de México Facultad de Medicina ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional Autónoma de México Coordinación de Universidad Abierta y Educación a Distancia ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>02</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>02</month>
<year>2019</year>
</pub-date>
<volume>155</volume>
<numero>1</numero>
<fpage>90</fpage>
<lpage>100</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0016-38132019000100090&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0016-38132019000100090&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0016-38132019000100090&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La analítica del aprendizaje es una disciplina novedosa que tiene un enorme potencial para mejorar la calidad de la educación médica y la evaluación del aprendizaje. Se define como: “la medición, recopilación, análisis y reporte de datos sobre los alumnos y sus contextos, con el propósito de entender y optimizar el aprendizaje y los entornos en que ocurre”. En las últimas décadas, la aparición de grandes volúmenes de datos (big data), acompañada de una rápida evolución en la minería de datos educativos, la aparición de tecnologías sofisticadas para analizar y visualizar datos de cualquier tipo, así como la disponibilidad de dispositivos móviles con conectividad permanente, mayor velocidad de procesamiento y capacidad de recuperación de información, han generado un contexto que favorece el uso de la analítica del aprendizaje en la medicina clínica y la educación médica. En este artículo se describe la historia reciente del concepto de analítica del aprendizaje, sus ventajas y desventajas en educación superior, así como sus aplicaciones en la enseñanza de las ciencias de la salud y la evaluación educativa. Es necesario que la comunidad de educadores médicos conozca la analítica del aprendizaje, para ser capaces de integrarla en su contexto eficaz y oportunamente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Learning analytics is an innovative discipline that has an enormous potential to improve the quality of medical education and learning assessment. It is defined as: “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs”. In recent decades, the appearance of large volumes of data (big data), accompanied by a quick evolution of educational data mining techniques, the emergence of sophisticated technologies to analyze and visualize any type of data, as well as the availability of permanently-connected mobile electronic devices, higher processing speed and capacity of information retrieval, have generated a context that favors the use of learning analytics in clinical medicine and medical education. In this paper, the recent history of the concept of learning analytics is described, as well as its advantages and disadvantages in higher education, and its applications in the teaching of health sciences and educational assessment. It is necessary for the community of medical educators to be acquainted with learning analytics, in order to be able to integrate it to our context in an efficacious and timely manner.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Analítica del aprendizaje]]></kwd>
<kwd lng="es"><![CDATA[Volúmenes masivos de datos]]></kwd>
<kwd lng="es"><![CDATA[Evaluación educativa]]></kwd>
<kwd lng="es"><![CDATA[Informática biomédica]]></kwd>
<kwd lng="es"><![CDATA[Minería de datos]]></kwd>
<kwd lng="es"><![CDATA[Educación médica]]></kwd>
<kwd lng="en"><![CDATA[Learning analytics]]></kwd>
<kwd lng="en"><![CDATA[Big data]]></kwd>
<kwd lng="en"><![CDATA[Educational assessment]]></kwd>
<kwd lng="en"><![CDATA[Biomedical informatics]]></kwd>
<kwd lng="en"><![CDATA[Data mining]]></kwd>
<kwd lng="en"><![CDATA[Medical education]]></kwd>
</kwd-group>
</article-meta>
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