<?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>0123-3033</journal-id>
<journal-title><![CDATA[Ingeniería y competitividad]]></journal-title>
<abbrev-journal-title><![CDATA[Ing. compet.]]></abbrev-journal-title>
<issn>0123-3033</issn>
<publisher>
<publisher-name><![CDATA[Facultad de Ingeniería, Universidad del Valle]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0123-30332024000200010</article-id>
<article-id pub-id-type="doi">10.25100/iyc.v26i2.13759</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Towards an improved of teaching practice using Sentiment Analysis in Student Evaluation]]></article-title>
<article-title xml:lang="es"><![CDATA[Hacia una mejora en la práctica docente utilizando el análisis de sentimiento en la evaluación de estudiantes]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Peña-Torres]]></surname>
<given-names><![CDATA[Jefferson A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Pontificia Universidad Javeriana  ]]></institution>
<addr-line><![CDATA[Cali ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<volume>26</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0123-30332024000200010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0123-30332024000200010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0123-30332024000200010&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Student Evaluation of Teaching (SET) serves as an ad hoc way of assessing teaching effectiveness within higher education institutions. This paper introduces an approach to analyzing sentiments expressed in SET comments using a Large Language Model (LLM). By employing natural language processing techniques, the polarity conveyed by students upon course completion is extracted and analyzed, aiming to furnish educators and stakeholders with valuable insights into teaching quality and areas for improvement in teaching practice. This study showcases the effectiveness of LLMs in sentiment analysis of comments, underscoring their potential to enhance the evaluation process. The development of a prototype tool, collaborative labeling of end-of-course evaluations, and a comparison with LLM-based labeling are experimentally explored. Subsequently, the implications for educational institutions are discussed, and future research directions in this domain are proposed.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La evaluación del estudiante sobre la enseñanza (SET) es una forma ad hoc de evaluar la efectividad docente en instituciones de educación superior. En este articulo presenta un enfoque para analizar los sentimientos expresados en los comentarios de SET utilizando un modelo de lenguaje grande (LLM). Al emplear técnicas de procesamiento de lenguaje natural, se extrae y analiza la polaridad expresada por los estudiantes al finalizar el curso, con el objetivo de proporcionar a educadores e interesados ideas valiosas sobre la calidad de la enseñanza y elementos a mejorar de la práctica docente. Este estudio demuestra la efectividad de los LLM en el análisis de sentimientos de los comentarios, resaltando su potencial para mejorar el proceso de evaluación. Se experimenta con el desarrollo de una herramienta prototipo, el etiquetado de conjunto de evaluaciones al final del curso de forma colaborativa y se compara con el etiquetado realizado con un LLM. Luego se discuten las implicaciones para las instituciones educativas y se proponen futuras direcciones para la investigación en este ámbito.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[sentiment analysis]]></kwd>
<kwd lng="en"><![CDATA[Student feedback]]></kwd>
<kwd lng="en"><![CDATA[Large Language Models]]></kwd>
<kwd lng="es"><![CDATA[análisis de sentimientos]]></kwd>
<kwd lng="es"><![CDATA[comentarios de los estudiantes]]></kwd>
<kwd lng="es"><![CDATA[modelos de lenguaje grandes]]></kwd>
</kwd-group>
</article-meta>
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