<?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>0185-2760</journal-id>
<journal-title><![CDATA[Revista de la educación superior]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. educ. sup]]></abbrev-journal-title>
<issn>0185-2760</issn>
<publisher>
<publisher-name><![CDATA[Asociación Nacional de Universidades e Instituciones de Educación Superior de la República Mexicana A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0185-27602022000400101</article-id>
<article-id pub-id-type="doi">10.36857/resu.2022.204.2282</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Integración social en la universidad durante la pandemia: predictores de la intención de abandono en estudiantes de primer año]]></article-title>
<article-title xml:lang="en"><![CDATA[Social integration in university during the pandemic: predictors of dropout intention in first-year students]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Maluenda Albornoz]]></surname>
<given-names><![CDATA[Jorge Ignacio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Infante Villagrán]]></surname>
<given-names><![CDATA[Valeria Aylín]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chacano Osses]]></surname>
<given-names><![CDATA[Diego]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gaete Cser]]></surname>
<given-names><![CDATA[Diego]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Galve González]]></surname>
<given-names><![CDATA[Celia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad San Sebastián  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Chile</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Concepción  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Chile</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Oviedo  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>51</volume>
<numero>204</numero>
<fpage>101</fpage>
<lpage>116</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0185-27602022000400101&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0185-27602022000400101&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0185-27602022000400101&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El objetivo de esta investigación es evaluar un modelo predictivo de la intención de abandono universitario, conformado por variables que afectan la integración social de los estudiantes, durante el inicio de la pandemia COVID-19, en estudiantes universitarios chilenos. Se utilizó un diseño asociativo-predictivo con 459 estudiantes de primer año (67% hombres, 33% mujeres) cursando de forma remota, a quienes se aplicó una encuesta virtual para medir la relación entre estas variables y la intención de abandono entre mayo y junio de 2020. El sentido de pertenencia, el aislamiento social y la incertidumbre percibidas mostraron ser predictores, con la incertidumbre percibida como el mayor predictor de la intención de abandono y de detener temporalmente los estudios. A partir de estos resultados es posible concluir la relevancia de los factores sociales estudiados frente a la intención de abandono y su valor predictivo en las condiciones particulares de la situación sanitaria.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The objective of this research is to evaluate a predictive model of the intention of university dropout, formed by variables that affect the social integration of students, during the beginning of the COVID-19 pandemic, in Chilean university students. An associative-predictive design was used with 459 first-year students (67% men, 33% women) studying remotely, to whom a virtual survey was applied to measure the relationship between these variables and the intention of abandonment between May and June 2020. The sense of belonging, social isolation and perceived uncertainty were shown to be predictors, with uncertainty perceived as the greatest predictor of intention to abandon and temporarily stop studies. From these results it is possible to conclude the relevance of the social factors studied against the intention of abandonment and its predictive value in the particular conditions of the health situation.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Intención de abandono]]></kwd>
<kwd lng="es"><![CDATA[Sentido de pertenencia]]></kwd>
<kwd lng="es"><![CDATA[Incertidumbre percibida]]></kwd>
<kwd lng="es"><![CDATA[Aislamiento social percibido]]></kwd>
<kwd lng="es"><![CDATA[Educación superior]]></kwd>
<kwd lng="en"><![CDATA[Dropout intention]]></kwd>
<kwd lng="en"><![CDATA[Sense of belonging]]></kwd>
<kwd lng="en"><![CDATA[Perceived uncertainty]]></kwd>
<kwd lng="en"><![CDATA[Perceived social isolation]]></kwd>
<kwd lng="en"><![CDATA[Higher education]]></kwd>
</kwd-group>
</article-meta>
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