<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Luz Elida Vera Hernández</journal-id>
      <journal-id journal-id-type="publisher-id">714</journal-id>
      <journal-title>Luz Elida Vera Hernández</journal-title><issn pub-type="ppub">0121-8670</issn><issn pub-type="epub">2256-1161</issn><publisher>
      	<publisher-name>Luz Elida Vera Hernández</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.31948/rev.criterios/30.2-art4</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>competencia/ docente/ investigación/ plan/ metodología/ formación</subject><subject>competence/ teacher/ research/ plan/ methodology/ training</subject><subject>proficiência/ docente/ investigação/ plano/ metodologia/ formação</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Fortalecimiento de las competencias investigativas metodológicas procedimentales de los docentes de la Fundación Universitaria Católica del Sur </article-title><subtitle>No aplica</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Rosero de la Torre</surname>
		<given-names>Rocío </given-names>
	</name>
	<aff>Mariana, San Juan de Pasto, Nariño, Colombia. </aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>12</month>
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>13</day>
        <month>12</month>
        <year>2023</year>
      </pub-date>
      <volume>30</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2023 creativecommons.org/licenses/by/4.0/</copyright-statement>
        <copyright-year>2023</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Fortalecimiento de las competencias investigativas metodológicas procedimentales de los docentes de la Fundación Universitaria Católica del Sur </article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			El objetivo de esta investigación fue caracterizar las competencias investigativas metodológicas procedimentales de los docentes del programa de Administración de Servicios de Salud de la Fundación Universitaria Católica del Sur, puesto que el saber-hacer tiene gran importancia en la producción de investigaciones, más aún en la educación superior, pues constituye una de las columnas fundamentales de la misión institucional. Esta se abordó desde un paradigma cuantitativo, con un enfoque empírico analítico, siendo a su vez de tipo descriptivo; la recolección de datos se realizó por medio de la técnica de encuesta y el instrumento seleccionado fue una prueba de conocimientos aplicada a toda la población. El análisis de datos se efectuó con la técnica no paramétrica conocida como mediana. Se encontró como resultado que las competencias investigativas metodológicas procedimentales del grupo de docentes, según su mediana, está ubicada en la categoría muy deficiente; por ello se diseñó un plan de formación para su fortalecimiento, conformado por ocho lecciones; cada una de ellas presenta una estrategia didáctica basada en el uso de las TIC; en términos generales consistió en el diseño, valiéndose de herramientas digitales disponibles en Internet, de presentaciones, plantillas, pizarras e infografías interactivas para el desarrollo de cada lección; las evidencias fueron guardadas en un portafolio digital que reposa en Google Drive; la duración total del plan de formación es de 48 horas: 16 horas presenciales con la asistencia del mediador y, 32 horas de trabajo autónomo. Abstract The objective of this research was to characterize the methodological and procedural research competencies of teachers of the Health Services Administration program of the Fundación Universitaria Católica del Sur since expertise is very important in the production of research, even more so in higher education, because it constitutes one of the fundamental pillars of the institutional mission. It was approached from the quantitative paradigm, being descriptive in turn, with an analytical empirical approach; the data collection was carried out by means of the survey technique; the selected instrument was a knowledge test applied to the entire population; the data analysis was carried out using the non-parametric technique known as median. As a result, it was found that the procedural methodological research competencies of the group of teachers, according to their median, are located in the very deficient category; therefore, a training plan was designed to strengthen them, consisting of eight lessons, each with a didactic strategy based on the use of ICT; in general terms, it consisted of designing, using digital tools available on the Internet, presentations, templates, whiteboards, and interactive infographics for their development; the evidence was saved in a digital portfolio stored in Google Drive. The total duration of the training plan is 48 hours: 16 face-to-face hours with the facilitator and 32 hours of independent work. Resumo O objetivo desta pesquisa foi caracterizar as competências metodológicas processuais de pesquisa dos docentes do programa de Administração de Serviços de Saúde da Fundación Universitaria Católica del Sur, uma vez que a expertise é de grande importância na produção de pesquisas, ainda mais no ensino superior, pois constitui um dos pilares fundamentais da missão institucional. Foi abordada a partir do paradigma quantitativo, com um enfoque empírico analítico, sendo por sua vez, descritiva; a coleta de dados foi realizada por meio da técnica de pesquisa e o instrumento selecionado foi um teste de conhecimento aplicado a toda a população. A análise dos dados foi abordada por meio da técnica não paramétrica conhecida como mediana. Como resultado, verificou-se que as competências metodológicas processuais de pesquisa do grupo de professores, de acordo com sua mediana, estão localizadas na categoria muito deficiente; portanto, foi elaborado um plano de treinamento para fortalecê-las, composto por oito aulas, cada uma com uma estratégia didática baseada no uso das TIC; em termos gerais, consistiu em projetar, usando ferramentas digitais disponíveis na Internet, apresentações, modelos, quadros e infográficos interativos para seu desenvolvimento; as evidências foram salvas em um portfólio digital armazenado no Google Drive. A duração total do plano de treinamento é de 48 horas: 16 horas presenciais com o facilitador e 32 horas de trabalho independente.
		</p>
		</abstract>
    </article-meta>
  </front>
  <body><sec>
			<title>Introducción</title>
				<p>Siendo la investigación uno de los pilares fundamentales de la educación superior, los procesos de acreditación y reconocimiento de alta calidad de las instituciones de educación superior (IES) están relacionados con ella; en consecuencia, los docentes de las IES requieren contar con competencias para potenciarla y evidenciarla en producción bibliográfica (artículo de investigación, capítulo de libro o libro completo), lo cual dará a los grupos de investigación de las IES, la oportunidad de categorizarse.</p><p>La Fundación Universitaria Católica del Sur (Unicatólica del Sur) cuenta con dos programas; para el estudio se aborda el de Administración de Servicios de Salud, puesto que fue el primero en obtener el registro calificado hace siete años; por lo tanto, tiene una mayor trayectoria que el programa de Enfermería, instituido tan solo hace dos años. En cuanto a la investigación, se evidenció que existe una parcialización de sus líneas, al tema de la salud; los docentes del programa de Administración no tienen producción bibliográfica; la institución tampoco cuenta con un grupo de investigación inscrito ante el Ministerio de Ciencia, Tecnología e Innovación; la cantidad de docentes con horas asignadas a la investigación es de uno o dos por cada período académico; no hay docentes investigadores con contrato de tiempo completo.</p><p>Además, los docentes no siempre cuentan con las condiciones para realizar investigaciones, puesto que en el país no existe una licenciatura de investigación que los forme como tales. Aquellos que tienen profesiones pertenecientes a las ciencias de la administración, suelen no tener formación como investigadores.</p><p>Acorde a lo anterior, Oropeza y Mena (como se cita en Acosta y Lovato, 2019) sostienen que, “en muchas ocasiones los docentes no cuentan con la preparación necesaria para realizar una metodología de la investigación efectiva que responda a las necesidades investigativas de la institución de educación superior” (p. 37). Acerca de esta situación del docente de IES, Hernández (2009) aduce:</p><p>Pero la realidad de este actor de la educación superior es que tiene una profesión disciplinar según su perfil académico; por ejemplo: biólogo, químico, físico, comunicador social, […] y otros, pero, asumió un nuevo rol profesional [de investigador] y, como se dijo antes, para el cual no ha sido formado; por lo tanto, carece de ese conocimiento y manejo de la didáctica de la disciplina que enseña. (p. 16)</p><p>Así que, esta situación encontrada en varias IES ha dado lugar a la realización de numerosos estudios que abordan el tema de la investigación, aumentando “la relevancia y trascendencia acerca de las competencias investigativas; a nivel universitario, es una tendencia en creciente desarrollo, debido a su amplio requerimiento en la formación de investigadores” (Bravo, 2019, p. 13).</p><p>Entonces, como es relevante conocer el concepto de competencia investigativa metodológica, se recurrió a Barón (2020), quien sostiene que es:</p><p>El conjunto de saberes, habilidades y disposiciones de una persona, que le permiten utilizar sus conocimientos, reflexionar sobre la acción y, estar dispuesta a desarrollar un proceso investigativo a partir de una serie de cualidades personales que forman parte del dominio de la persona y le permiten desarrollar una investigación con eficiencia y calidad. (p. 16)</p><p>Estas incluyen: competencias cognitivas, procedimentales y actitudinales. Dada la complejidad de las competencias investigativas metodológicas, se aborda las procedimentales, pues de ellas depende la producción científica en cuanto a calidad y cantidad, más aún cuando el modelo pedagógico de la Unicatólica del Sur es constructivista.</p><p>En este sentido, Barón (2020) define las competencias investigativas metodológicas procedimentales como: “habilidades y destrezas relacionadas con el saber hacer, el desempeño y la aplicación de aprendizajes en las etapas de un proceso de investigación” (p. 16).</p><p>Así, se aborda las competencias investigativas metodológicas procedimentales de los docentes del programa de Administración de Servicios de Salud de la Unicatólica del Sur, puesto que permiten alcanzar conclusiones interesantes desde el punto de vista pedagógico.</p><p>En los resultados de investigación acerca de las competencias investigativas, León-León y Zúñiga-Meléndez (2019) afirman que:</p><p>El rol, metodología (estrategias-recursos), acto educativo y evaluación utilizada por el colectivo docente [objeto de estudio] tiende a estar más cercano a un modelo tradicional de enseñanza centrado en la transmisión de conocimientos. De igual forma, se evidencia que, dado que la mediación principalmente se centra en el modelo tradicional, se prioriza, en la planificación, evaluación y mediación, conocimientos científicos conceptuales por encima de los procedimentales y actitudinales. (p. 2)</p><p>Por ello, es interesante enfocarse en las competencias investigativas metodológicas procedimentales de los docentes del programa de Administración de Servicios de Salud de la Unicatólica del Sur, con el propósito de identificar sus fortalezas y, principalmente, sus debilidades, con el ánimo de realizar una propuesta para fortalecerlas con miras a su escalonamiento. </p><p>Así, el objetivo general de este proceso investigativo fue caracterizar las competencias investigativas metodológicas procedimentales, siendo los objetivos específicos, identificar las fortalezas y debilidades de este tipo de competencias en los docentes del programa en mención.</p><p>Para alcanzar estos objetivos se aplicó la técnica de encuesta al total de la población conformada por 20 profesores; el instrumento fue un cuestionario diseñado por Lorena Barón (2020), quien autorizó su empleo para el desarrollo de esta investigación, realizada bajo un paradigma cuantitativo con un enfoque empírico-analítico; los datos obtenidos fueron analizados con una técnica cuantitativa: la estadística descriptiva, dado que se trata de una investigación de tipo descriptivo.</p><p>Por consiguiente, la justificación de este estudio se encuentra en el Decreto 1330 de 2019, pues manifiesta que una de las condiciones del programa debe ser la investigación, sumado a que es responsabilidad de la institución, establecer un programa de estrategias para la formación en investigación – creación de docentes y estudiantes.</p><p>Las competencias formadas en el docente están al servicio de los estudiantes; así que la caracterización de las competencias investigativas metodológicas procedimentales, identificando sus fortalezas y debilidades, ofrece un lineamiento claro acerca de las acciones de mejora a implementarse, que benefician al docente y, al mismo tiempo, al estudiante, quien constituye la razón de ser del claustro universitario.</p><p>Al mismo tiempo, esta relevancia de las competencias investigativas repercute en el perfil del docente de educación superior, puesto que pasan a un segundo plano los títulos y, cobra importancia el tener un acumulado investigativo que le permitirá realizar investigaciones de alto impacto.</p><p>Además, la formación de las competencias de investigación procedimentales en los docentes hará que los estudiantes vayan más allá del mero contenido, pues su enfoque está en el saber hacer. Vale la pena anotar que esto sucederá, aunque el docente tenga a cargo asignaturas diferentes a investigación; así, Montes y Mendoza (2018) expresan que:</p><p>La educación superior, mediante la vinculación de la investigación con la docencia, debe [mediar] un espíritu crítico que dote al estudiante de capacidad intelectual para asumir con plena responsabilidad las opciones teóricas y prácticas encaminadas a su perfeccionamiento personal y al desarrollo social. (p. 15)</p>
			</sec><sec>
			<title>Metodología</title>
				<p>Inicialmente, se decidió que la investigación estuviera enmarcada en un paradigma cuantitativo, cuyas características son: el investigador plantea un problema de estudio delimitado y concreto, luego considera lo investigado, construye un marco teórico, recolecta datos, se fundamenta en la medición de variables; los datos, producto de las mediciones, son representados mediante números y deben ser analizados a través de métodos estadísticos. </p><p>Además, para la realización de la presente investigación se seleccionó el enfoque empírico-analítico, que tiene sus orígenes en Habermas (como se cita en Fontes, 2020): “el conocimiento empírico se presenta como un posible conocimiento pronóstico en el que los hechos y las relaciones entre ellos son aprehendidos descriptivamente” (p. 282).</p><p>Así pues, el estudio se efectuó con enfoque empírico-analítico, porque se identificó un problema presente en el grupo de docentes de la UniCatólica del Sur, a partir del cual se definió la variable: Competencia investigativa metodológica procedimental; se operacionalizó, luego se obtuvo la autorización para aplicar un instrumento ya diseñado, posteriormente se recolectó la información acerca de la realidad; su análisis se ejecutó por medio de la estadística; los resultados obtenidos abarcan al grupo de docentes en estudio. Del mismo modo, es de tipo descriptivo. Los estudios de este tipo, según Hernández et al. (2014):</p><p>Buscan especificar las propiedades, las características y los perfiles de las personas, grupos, comunidades, procesos, objetos o cualquier fenómeno que se someta a un análisis. Es decir, únicamente pretenden medir o recoger información de manera independiente de los conceptos o las variables. (p. 80)</p><p>Así que, esta investigación está basada en la descripción de las competencias investigativas metodológicas procedimentales del grupo de docentes, que podrán ser fortalecidas en un futuro con base en el diseño de estrategias didácticas.</p><p>Igualmente, la investigación tiene un diseño transversal; Hurtado (2012) plantea que este es como el diseño que valora el evento de estudio en una sola oportunidad y en el mismo momento; su principal ventaja es el ahorro de tiempo; por ello es usado con mayor frecuencia. En este estudio se aplicó el instrumento una sola vez al grupo de docentes mencionados. “Este diseño se aplica a estudios exploratorios, descriptivos y correlacionales-causales” (Hernández et al., 2014, p. 152).</p><p>En lo referente a la población, se determina que esta investigación es censal, según la definición de Pérez (2010): “en él se recaba la información sobre ciertas características de todos y cada uno de los elementos que componen la población” (p. 138); de ahí que, la población estuvo conformada por la totalidad de los docentes sujetos de estudio, que suman en total, veinte.</p><p>En consideración a técnicas e instrumentos, se seleccionó la encuesta. Al indagar acerca de instrumentos para la caracterización de competencias investigativas metodológicas procedimentales, se encontró la tesis doctoral de Barón-Pinto (2019), quien concedió la autorización para la aplicación de su instrumento. Ella se tituló en el año 2019 como Doctora en Ciencias de la Educación con énfasis en Investigación, Evaluación y Formulación de Proyectos Educativos en la Universidad Metropolitana de Educación, Ciencia y Tecnología de la ciudad de Panamá.</p><p>Cabe anotar que la autora facilitó el instrumento en formato Word; este fue convertido en un formulario de Google, porque para su aplicación no se contaba con la presencia de la mayoría de los docentes en la IES, puesto que algunos trabajaban en modalidad virtual; además, varios de ellos eran de hora cátedra y asistían a la universidad un día en semana y regresaban rápidamente a sus trabajos, porque estaban vinculados laboralmente a otras entidades.</p><p>Se aplicó la técnica de encuesta, cuyo instrumento fue el cuestionario, en el que las preguntas exigen que el encuestado escriba o subraye, pues se está caracterizando la competencia procedimental que implica el hacer. La prueba de conocimiento indagó acerca de las competencias investigativas metodológicas procedimentales, entre el 25 de noviembre y el 2 de diciembre del año 2021.</p>
			</sec><sec>
			<title>Resultados</title>
				<p>Como ya se mencionó, se aplicó el cuestionario para evaluar las competencias investigativas metodológicas procedimentales. Además, el instrumento, según su autora, presenta un Alfa de Cronbach de 0.813, mostrando su confiabilidad. Luego de la aplicación se procedió a asignar un código a cada una de las preguntas según el tipo de competencia y número de pregunta; por ejemplo: Cp1, para la primera pregunta que indagaba sobre las competencias procedimentales; seguidamente, se observó el instrumento con las respuestas, proporcionado por la autora, quien asignó 1 cuando la respuesta del docente era correcta y 0 si no lo era; esto se realizó en una hoja de cálculo de Excel para, finalmente, alimentar esas tablas en SPSS, que arrojó tablas de frecuencias, gráficas de cajas y bigotes y, porcentajes de docentes que sí saben la respuesta, frente a los que no.</p><p>Como el objetivo del trabajo era describir las competencias investigativas metodológicas procedimentales de los docentes, se recurrió a la estadística descriptiva para el análisis de los datos; específicamente, la frecuencia relativa, porcentual; por ello se seleccionó la mediana como técnica no paramétrica que permite categorizar las competencias de los docentes como: Muy deficiente, Deficiente, Regular, Suficiente y Excelente, lo cual es complementado con los porcentajes de aquellos que cuentan con la competencia y los que no.</p><p>Para la interpretación de los datos, los resultados fueron comparados con el baremo de interpretación que se presenta a continuación en la Tabla 1:</p><p><bold>Tabla 1</bold> Baremo de interpretación con categorías</p><fig><label>Figure</label><graphic xlink:href="data:image/png;base64,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"/></fig><p>Nota: datos adjuntos al instrumento aplicado en la investigación. Fuente: Baron (2020).</p><p><bold>Tabla 2 </bold>Estadístico de competencias actitudinales: mediana y percentiles</p><fig><label>Figure</label><graphic xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAWIAAADyCAYAAAB3Tc+NAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACPcSURBVHhe7Z0xjtxG2obHf2AIggJpTyDIR1gfQIF9BG3sSE6dacMNtUfQRorHR7ADH0AGdIFZ6ARaBYIgOJmfD6ff8SeaTXbPsJtD9vMAhW6SxWKRVfXWx4+s4leXDWciIjIb/7f5FRGRmVCIRURmRiEWEZkZhVhEZGZ6H9a9ffv27MOHD5slmZtPnz6d3b9/f7MkS+Xjx49nDx482CzJqfL48eM2VHqF+PXr12fv3r3bLMncfP78+ezevXubJVkqGDcPHz7cLMmp8vTp0zZUfH1NRGRm9BGLiMyMQiwyIf/973/Pvv/++7OvvvqqDT///PNmyzL429/+dvbPf/5zsyTHQiFeCd9+++1140/48ccfz/73v/9tYtwNECby9u9//3uzZl1ExPD4EZ49e9YuiwyhEK8IGn0E4M2bN2e///57a51NzT/+8Y9W+G9C8vjixYvNmpuBkCPod62j+fXXXxVf2RuFeKX8/e9/P3v+/Hkrxku7PV4qXGs6hkePHm3WiOyGQrxiEGPAbxmXAGJRwbLFwg3xEeLWiIsDq5o0gLikRTrZnv1Zx/5Zz//qgqjuk9o5kDZpZFs9Xh+kGRdAjscvxFr/z3/+c/bNN9+024iLQHbdN5xjZezcgXOsPmAC+Un6kHPJcncf/tfzz7Ukz/U6kCZ5Yl33+rBPzSfnyrrA/1wbAv+77iDOq5uvLuShHpvjdNOR26MQrxhukyGCvCuIxJMnT1oXwvv379vGGNE6Pz9vb71JM24Q1gFCgssh6/mPsEV0cJcQKqSNAGBFZj/S7xOFQLovX75s/5M/9uE3IEKEi4uLdhtxydt33313fQzyTL4i6GHo3Pvy+urVq/ZYrMu5kTbbWI7Y1X1IH3GrwgnksbqXYlkTL3nnnEgzIt9NM4yVRc4FEifXtEIcjpfrnHQU44lpLq6sgEYYL5tGvFm6vGzE4LJpnJdNA75eprgbcWiXQ3e/pvFfNo1ts3QFy6wPxGe/Xeimx/HJB/mBpvG3+exC+mzbBttIpxGIzZor9skb16bGHTv35H1bvrrnBs+fP//i2gXOOde9b7/Ql6e+c9x2PSo1LeKz3I1f4zSdTJvmL7/80i4HzqmvzOTmaBGvCKyd3EJiHeEjbhrRZuvtwIIiDIHlhrVUb4nH9sFqx+JK/ATSikU/BeSDvFX3xK7p59wb8WtD0tnFMuQ8sFa7kE7XIp6SsbLg3MlXI7ybNX+FcgHyWmE/tmW73B6FeEU0ltL1bSahsWw2Ww4PDTu3y9yuJw9DDT1Ul0ENU3Yi5A3hqNeI//vSWK/t+ZHniF3O+65wm7KQeVCIT4Q0wkNZMbEuEf99BC6WYbXWpoa8RYSn6Jy402hu7duOIj7ibdYt59d3zYnftTSnYpeyiFU7RCz57rmxzLZsl9ujEJ8IWHCIcRopYM1tE5AhIi61IUfoa/o85BoTWMSCfXGl1PTIWx6S9RERy8OnIfoEBZdCzesucKzuQzbSIP/bRCnCXx+kcV6c6xSdQh+7lAWdCctc59AXh+tMnKznISDXgW0yHQrxCYH1RuPEX4jvkAZ7E6sMAWG/vB6GyLCOwH/WsQ1xiihsg+1YlsRNegTEbihvdCxYpYhHzmcbpMO5IyJJH2EhjX0gHfLLbX9Nh/xvO0/Oi+3Eyz6I8Pn5+Y2u/S7sUhbda8L16yuvlE18zXRgXHfSl+lw9jU5KggsQoYQ3cRHK7JGtIjlqOR2+VDWoMgSUYjl4NTbcm5tuSXmdldErtA1ISIyM1rEIiIzoxCLiMyMQiwiMjMKsYjIzCjEIiIzoxCLiMyMQiwiMjMKsYjIzCjEIiIzoxCLiMyMQiwiMjMKsYjIzCjEIiIzoxCLiMyMQiwiMjMKsYjIzCjEIrITfIyU7w2uDb6jyNdjdvki+KFQiFcGnz7PF3cJfMG3fjJdhkFohr4ILX/itZoOhXgl8Il2RJfenU+g8wUswvPnz9tPpmPNLAUa91ydx5s3b87ev3+/WZIh7tq1WrLFrhCvhAgtIly/kPzixYu2wfixTpE7DB8PlWXTiC8fgL18+fLlZs0wxCN+QiPWmy1XPHr06PLZs2dtSJzvvvvushH0y8bCvl7XiHu7LhC/6QTa9Ekjcc7PzzcxrmCZ9JIO+4XsV0PO6+Li4i95Yl3Ieb169arNR3f/0E2HYyZOziE0Ft8XaRG4BhWOx3lmO/9Ztw2uGfE45rbrkDikU/NKfgh1Hcfb5xxhqAxCt6y5DvXasE9dvmm9AfJWr2H3fEibelrTqeVfj5mQc+JYtV51r0Wuda2nY3WNfer1I3TzvA9axCsAdwQ0jaL9HeLHH39sP2nfVKTWdcEvDym6rgvSbCpaG6epgK3rI7d9rCM0Dad3P+CWlTjkiWPySX349ddf232aSn6dTtMwrtNhP5ax5LOd/+z//ffft9uynjRY14VjNI2qjdM0jtbNwTogHc6D36TD5/2T7y64dXIdCKTL9YrrhP+cXyMQ13H4z/UagzyRP/ahHFjuumQ4fvdacc6kn2vM9WE/yhXGznGsDIBjEJ+yZzv524Wb1BvyzXmmzDgv8pjzCVxr9k0czo9rD+zL+VDfchzWAWl36xPXa9vDOdIdqmt924fq0E40icjCoSemKOmlh6BHJ16358bqqvs3FewvVnJTEb+wfiDHbRpFu9wXp3tMrAismgr7EwfLHvqOz/5YTF04XtLu5geSduKQLulvo+8cunAOiZNjjl37CnHZpxGKzZoruC7J27Y4Katcq8C+uT5j5zhWBrnD6h67e226yzetN+zHeVU4dj2HvrS757lL2YWaXvdak7+hupb4qVNToEW8Iuiph0iPjVVRaSpY+3urHn0LHKup9Nd54xhYKHmrg5An70PHx0LCuqr7EdiHbWPk+MTtnv8Q7If1hFWXY9bjNY2/PT+2YyURl/O7CeSL4w2VYyztlFlgX7YRxs5xrAxSDli2h4a8cr5YtjU/WMysHyvbsesFnA/lwjkm/aF9OOZQXePaE1Iv+O1a7/uiEK+AQwrpIWgsietbuhoaC2UTo5/c8nZDY8FtYkwLjZWGRqNEcHM8/gcEr7Hs2nOiHGioiEpume8qNy2DQ0EZ9uXntp0B5RHXCO6DpEvnOcRYXWus4jY94kXoc5yboBCvACoDIrDNEkNQqCgR7FhVIVZHtk8JlZTjx0Ljd5tvbgjylrRuA+l0z38bsYwQ3jGBYjviRgPFR3yTc+T8uD5DIpHr2O10sy9h7BzHyiDH7x7jEJBXjpc6ODVJl/KpHegQu9Y1ypkyR5wRZfa56TVTiFfC+fl5W3G4Pa6NjFumWHU0QCoP61Jh+EXAqaRUwNtCHiIC/E8HwHGBissx68Ma4mNB5vaO+N2GSUOiwbJfFRnS38f6jKDmwQtwvWp+Qp/okceaN45PSKPll/jZd4iaLmVAPsYEn+vI9anHzL65xmPnOFYGpEP+Ux7QPe+poEzJL+nX45Ff8l+v0RhcF86j1o90KjXvnGeuXR9jdS3XsuaN9Nlnl3LvQyFeCVQAnlJTGakk8WulgSLUQM9NRUOc2c4vIpztU5Dj45OjclbXAdZ7Oo3kkYEo2QbkEbKdBpp0OE/iZxuNgXPeFfZPfpIGjasvDdaRl+pPJd/JJxCHPMT/yG89xhDsl3Q5R44VMR0i1yHHZF/ENQI8do67lEF3O4JUz3tKyDf5p67meMkv57IrpMM+qR/UQ9YRUifZRpoR6D7G6hqBOGlDBK4V+wylO8RXlzg+RCaAyk6D5fZctkODphEjdrveLsu60SIWEZkZhVhEZGZ6XROvX78+e/fu3WZJ5ubz589n9+7d2yzJUvnw4cPZw4cPN0tyqjx9+rQNlV4hfvv2bVtp5G7w6dOns/v372+WZKl8/Pjx7MGDB5slOVUeP37chooP60REZkYfsYjIzCjEJwyvmvEuKu9shrzbyjud+0A6vPAuIvujEK8AXjqvo6i6sJ13fLsgwAwgyACKPvKSfR31JLIN6gt1MQMdCNQzBjxUMAJqvH1H0a0NhXgFMOKJIZZ1OGbI+r6BA4wEYkTTEOzHY4SM2hIZgrrGyDPqDIHBPdTBagggyjEcEo8RacTpCvapoBCvgIhsnzuBdQzVdASXHIMMVw6IMndd1VBgyDj/650Y+7CObaeIQrwCsIgR221CXOcI4PYvcxQQcFsMVf4+nzENpntb2YX9unG6+cPdke2Jc8q3p2ula+VSxljAdR4J/hMQ7FNEIV4JWB1U8CpkCB+NoFrDiC5WS24J2YYPb9cG0Hdb2XVvRKhpbIlDI+PWM/njwR5CzK0r25nTF+vpVBvimqEeRmiB+pH/FeqLrglZNBHbKmRpANUi5naw+nvzf1dLFCGnsdTZ2hDQSh7s1Tgcl7xkG42Rhpd9+Y+g64teF3TylLXlOoxCvBIQOUStuhkQ5e60iggu1mjcE/zuA2lyLIRzGxyjz+IhfxF8OgcaKHmgsZKnXTsDWQZ0urkD22V6z1NGIV4RWMWIG2IZy7W6JRA6pl8ELNS4BOaAhsmxaaSIOvklb7UjkeWCCNO5cpfTdV3RSfe5IFg31MGvGYV4RSBuVGSEGLcEFmi1TOO2QPyqQO8D6SH2Q3Dcvjh0BHFFQNwRBESZtJNHWS4IMOVIR9/nkkj9qHUky9WNdkqsSoh5GJTb7W6Py7ZYg2sFYaMiY1XSELpiG2sjby9wjWg0+4DYd/frvrCfxlffHe36CtkWfzEg0qTR59KQ5UC5Ur/yhZA+qEOUM3UiUJ+on6fqwlidRRyxqY38lECIEbS+Ss0y1icNgA6Ljmlf4cOawa2B2KfTI41cd2CZhkg+iENAhHl4F4uYXxpstpMXRLp7GyvLAgOAsk651pDOm7qSB7nZRl25zaeGls6qZl+jN6YiIDgIBd9wS8GyjQriZ3xE5K6xSh9xbn9P1SoWkWWxSiHGCkaMsYqxgkVE7jKrdE3klSyG7+KLxB+1ZNcEn64iyLLxCx0CP/zwQxsqqxbivMuI+PJfH7GI3EVW/R4x7gme4OsrFpG7zKqFGHiDgtek9BWLyF1l9UIcq9h5DKaF68n7nxkcsgs32UfkFFi9EMMpDBJgQERejk/ojng7JPjiOaYdnvTB85vUy7E5sE+RVQkxb0f0TWLDUF+eSa79QV3OM+eKKGbu4ENDZ8dxM3JOJFAHcQ0ywIo6grsQI4EH63LFSVjEpwiCSIVHjHUFyFxQ/zLaNcPpfYj+VxTiFRPrNA8qEWSsk9wicrtYYTlTUXL7SJzMD8C+1f2R9YFGxfrqChnbB+qxCHnfO8Sqz3aCDXg5xOrt3ikxJ4purD9RiFdMbQT8R+Sq+4IRiF0xpnEQchuJy6Fv37HpCnfZBxHmFhVrie24lRDyuFPyn3wmDSYcsgEvh3TMsYYDZcq22nGfNE3llhXQiO1lI3qbpcvL8/Pzy6byXzbi1y7z2whe+z80wsdgnstffvmlXWZ/0unCvt31b968afflONAIdrtMmrDLPjV/oekA2jikl/j8l2Xy4sWLL+pF2Lb+VNEiXhG4AuotPpZm5oXFisQCrbf4+UzSmIXJ9kYwN0u7MbYPlhAuCKz1CpYT1lK2EXBp4OLgV7eErBGFeEVUNwCBhyKVvNnQDd14dwne/sAdgagj7hFlWQZ0qtB1QbDMtmw/dRTiEwFL86ZvT9BYxqzmLmP7sJ08deOwTCNlW8CypxPBuo+PeN/8yDzkrijPKwLL3buhU0YhPhEQMsSrPpzj9p+HZWO3+wghDSdCzn59b0BUdtkHS5w4OT4CTBxEmG3sS36r6BI/Ii53H8QWMcYtRh0Aypv/1BG5QiE+EWgMDHhB7OIj5rWxbBsCUSQgiuzH7xT70BC7n11CZOPXphGzXF+BI/+n/EmdJUK9o+PMa4qUN+WOK02uWNU0mCIiS0SLWERkZhRiEZGZ6XVN/PTTT2dv377dLMncfP3112d//PHHZkmWip9KElj9p5JERJaIrgkRkZm580LMa0+OpBKRNXNjIeadT94J7BsMwHuCbM9cBlORd2ARZxE5LrsML898J7TVXUA/6nviad8Z/FFBV4amcV0yt7KIeUG/b9gs6w4xfJGX+HFp84K4iBwP2jRCOATiOTZKswujJuscKUy/2h0BCnQCBDQncdekA7cS4gw1ZdhpoDDoDR1HLrJ86l3okJWLVcvIuX3nAEFMGYEZ0BO0o1rEdAIIPKPxatw1cWsfMb1Z7Sn5v23oIhezfo2hr/dk7oNsJ273FgV3R52zgIKPm4TA/5ou23OsoduasXRETpHchRKGjCtmySPObYUS0cWwq+mgKRx7zUOiJxHiWMHAhey7YIgaF5QekALjawx1whdAKBHEfB2Cwh2DNCm0VBb+I9Tko8KxmNsg6XaPvWs6IjI9tLUYSLQ9QoiVXQ0pjDTa7GpoROdGND3l9Rch+IICoRHZ6y8uNBeyjRP439xabJauIH7i8JUIssO6CsdoesPN0lU6pD1EjZOvPHTTJc3kfxu7HEvkVKDN1LbYB+2F9nbTL2/QXp88eXL9NRnSIT10hW2B7X3teqnc2iIGLE0sx23WMNYnFnN1O6T3Yz3b0+t1Z+gag/3oTatbYciXValuj9ukIyLTgAsCPcHare2T9YSAv7gxlFZzxzqJEHNB8tCuT4gD0xc24v+XsK/4Bo6X12komKRHfvZhqnREZDowhGiDhD6jCM3pPkNaKpMIMTDxOD1Zn3jRk7EewdtG9otlvAtJr7kdupUjf6p0ROT2IK7oQSxgfvu0g3jVSl4ykwkxvRNi3AcXFZHj4Vh9QMZtRR7QIeKkUbfzfxfxrnFwf+zrUpgqHRHZDq5IXH4xtmhftP/60I02nwfngf+ILm0y5K2nGm/JTCbEY3DBEGrENz5YLiw9GgIM5+dffkGCiz/ktiBNQgqYJ6mkFWHdlanSEVkbtT0ioIQsV0Mlo+NiSOVZy5APl/ZF+88bEwREGJ2gPQY0AG1ADxKPY/P2U7Rj6Tj7mojIzBzNIhYRkX4UYhGRmdE1IXIkfvvtt80/OWUeP37chopCLHIk/vWvf23+ySnz9OnTNlQUYhGRmdFHLCIyMwqxiMjMKMQicnAyWIqwuiksJ0AhFpGDwjBmRsVlnnGmM2BU7dD0BaeGD+tE5GAwJJrhz8xqiACHTCPAjIyiRSwiByRWb3eWNOaPyOQ/ohCLyAHJxEDdyXmY8IdtdeKgU0YhFhGZGYVYRGRmFGIRORiZ07vrgmCZbc75fYVCLCIHIx926L6qxvJaPnM0BQqxiBwMxBYxrl9l5ise/K+vs506CrGIHBQ+c8RbE7w7nM8h8V6xH+r9Ewd0iIjMzNEsYpzz9IgMdxQRkT+5sRDnK6318/eBWw+2EwJfat13SGO+7uoIHBFZMzd2TSCyOOKxdPmsdSVWLwL6/v379r/IqeMXOgQm/UIHQpxXU3j6mf88DWXKuzwpVYhFrvCbdQJ936xjWrob8ejRo8tnz55dnp+ft7/hxYsXly9fvmx/iRMa6/mLePxnHXGJR1aePHnSphfYxvpGzL9Y5pe4/Ce8evWqDaSXdU3n0O4T2F734fgXFxebrSIi83Hrh3WNoLVWcEbO/Pzzzzu/loLrgv2wmpu8tK4O5ikdg/1wh7BPI/jtPljf/GcdfmiWCcAvcbDc2c7xOK4PDkXkLjDJWxMIL2KHCPNAjrALCG9j3W6WrtJBIMcezvEOYoZGRvQR4fzHLcL2+gI564gDbCMNtvc9bBQROSaTCDGWJiK8jzU8RAR0ChB20kP0K3QWVaxFROZiEiFG0BA2xo9PIcQiIqfEJEIMuBiwjOMyuCukk+i6O+Kf3tWNIiJyKCYTYgSt+nvvEviGsdbjD0aAM8AkfmMRkbmYTIjvMljqPJzjgSIj9XgHGkvZDxeKyF3ASX9ERGbmJCxiEZG7jEIsIjIzCrGIyMwoxCIiM6MQi4jMjEIsIjIzCrGIyMwoxCIyGUz8xfSyDJxKYJn1gYm2mJa2G2ds1sU1oxCLyGQgpsx0mDnGM14M4WVqAYjgXlxcXM8PDnzZJ3FODUfWichBYY4X5nZhSoF8Uq0Lc8FgFTMVAVMSnBpaxCJyMHBDZJ7ybSIMp2oJB4VYRCYH8cX3+80337QTbJ2fn2+29BMf8pBYrxmFWEQmBwu4+n+//fbb9rePfGYNl8Spzg+uj1hEDsqQ/5cHd2zjAd8pT0urRSwiByVf7en6gRXhP1GIReSg5HW1+gFfXBG80vbmzRs/0NCgEIvIZPAucD5JBgguyzyEy4M4lomHq8JvRl6hEIvIZGD15o0JAoLLg7tq9cZC5gFe4iUMPdRbMz6sExGZmdksYno+HPWn/iK3iMiNhZgvIXMrUf1BgfcC2U7og33yFeU8Ud0FhklyzNzaiIisgRu7JhBZ/EFYtDz5rGDpAoKZF7pFRKSfW7kmsGZ56skL24Gx5YhzfVVFRES2c2sfMU9EcUUE/rOuC+LcfUpa3Rr8Z11NC9iHwP6JE79ylvllTHvSJQ1CPR7vLFbyMnm28z/j3UVEjskkQhwrGBCzPiFGGHmPEE8IgUlA8PlGjF+8eNEOf2Qd6UHmMB3zJSOquEdIl3TYj+Pxn3XsH3EG0kd4STP5wbLnVRv9zyJybCZ5ayJWMSKMoPW9pI0ovnz5crN0tQ/uiyp8ecEbQUx6CPbYAz32S5x0Ahwv/+kA2B6Bj/jXGaFy7GwTETkWkwgxliyiuc0aBixbrN3qLuizPhFHBBOrFuE+hK+Z4/Z1Ft2OQUTkGEwixFibCBsP7bYJMQKMwLI97oAxkY27Q0RkzUwixID1imXc50ZAoCPCuAyGwC2BQJMeFnR9I2MqSD9uigrW8CEscBGRISYTYizi6gOuxA1QRRVfbFcMEWGsYNwTCDa+XVwUfaJ5G9IZcLyQ44x1FCIiUzOZEA+BECOu+JDjH876gPXL9vrgLQ/TItBTwXF5k4I0kx9EmONpEYvIsXHSHxGRmTmKRSwiIttRiEVEZqbXNfH27duzDx8+bJZkbj59+nR2//79zZIslY8fP549ePBgsySnyuPHj9tQ6RXi169fn717926zJHPz+fPns3v37m2WZKlg3Dx8+HCzJKfK06dP21DxYZ2IyMzoIxYRmRmFWERkZhRiOQoM1qnzPxMyzWkln+DqhjoKUuaDaQD6yidhaPZCBk1R5jU+84h39yFerSvMU0P9WTMKsRwFGhejFnkkQWD+aIa89wksw8wTLyGjLGVeahn2lQ/TEmwDEafjzdzhBOafyahaoJ4gvJA4HJN6coh5Z+4MzYmKzMLLly95UHx5cXGxWXN5+ejRo8tGiDdLshQasbxsRHWztDuNKLd1gLoAz58/b+vA+/fv2+Xw5MmTy0bkN0vrQ4tYZmPK+UNkPnAtYO3eZMIsrGEsXmZuhNSJ7iyOWNocY60oxDIb3I4yAVOd/Alo2NU/mE9cyd2E8sHFgKDuQneyrfoptK4AB9az31o7b4VYZmHbtKPNLem1b5CASBN37Q9rlkqms93HGkZUU75YujywIw1gGbGlzAPb1mwNtzQXQ+SoxDe8qy+4abir9g8uGXy3N/ENVyhffMPh1atXbbrUEQJlTyDeWtEilqOCBYVfkI8IbPuQQJfclsrd4ibW8DZq+eIvvri4uLaacV3Arq6PJaIQy9HIp69oXLs23vgF19wIl8q+vuE+EPKx8qXOEPJAb5VgFoscGm5fud0cApcFt6h5nY1XmHJLWl9xk/mJe4nXz/rIa2nVbYEripBX0yhTypd60X1dLcRNUV0Xa0SLWI4CFg3WT56W14ClDE2jbOPw8Ib1jLIDBgA0jbH9L3eDm1jDxOWhW0ZPUs64nepbE8DgjdQNHtJy98Qn1NaMs6+JiMyMFrGIyMwoxCIiM6NrYgH89ttvbZBl4xc6BPxCx0Lhs1V+umr5+M06gZ2/WSciIsdDH7GIyMwoxCNkJjCH2IrIobixEDM9YV66Tuj79M3SYHAB57L62Z6ODNezW18S6OwCAzrqZ3L4b1ncDWgb+XrGNhiAQbntqgOUfVdLGNBBPejCIJJaN9b0+axbWcSMrMHFTGD0Ew2GC7UEIgzd6RWZiIbzcW6Dw8AndVJnEjLvBI039SfbGHFFg/OOZF5oJ2PzQiOetVPdBdph1REm+2FdV2TpBAiMvkzcNX0+azLXBMLFpBxcROeOlZtAQ6cx1+GsdIysGxMBOQx0gLE+hzpDrFqGLNP+9wExrRNAMZQdLakWMXqCwFMvatw1MamPOFZkLiIXL/MGELq9JWPO6eVYnzgR8e6+9RaV9KkYdVstuKRH4623PTk+6eQWq6bD+uw7VOm6eUu6gePW7fxXSMbh+mMB13kl+E9Y9Ycj7zCURyzQobtE7oiJc1uhpP1T1jUd2g7HxnJeK5MKcRoLFw1x4gLmVpQvL7C9T7Qghc3FjjjHTUAgTfbP7WutIOzT5xIhfo5PWqTLOtKi4kC9VR6qaGHsvKhI+Mq5O0i6/K8dxSnT7UCrBcU16pvch7LWNbFuaJvUCeoHIlyFOHWE+rJa46YRihvRiNYXU9w1wtROV8e0dtA0nnYKuwpxWB/431zwzdIVTIfHeqbZ64P1HKcL+ck+/HJqdWo9/rMucTJNH3mqdPftLo+dV+KTvmwnUyBy3XJtKUNCl23r5bjsUg6059pe9oV2Q/vOtJdpt9SV2qbYzvpu+10qt7KIsf7SQ9GTYfkxpV0sVyzDbE8c1rN9G9m3zzICtmM51XQJ9JpD6YbbWFa7nBfWeSMureuDHpyeflU990RQvlg9XDevj4RG6FsdoU7Uu0jWEwL+YtpZXJlLZ7K3Jgj1dgIQ5bo9gSeft6E+Oa0hn1Q5NEPnhcA0vXjrCqHiIM4IN0G+JJ1tOkeW+zpK1tHo5LRIuRP66gX1ZS0uv0l9xAEB4uLtYqF2Sa+37QKzHeu3r2AOzT7nRaeEGOOLpodfS889JfH9RZC5vpR7Lfss37bzluVAedPOogX89rU54iXO0jmIEHMRESIeYNWHc4hR9wFNFxolwsV+VbzyAI90SR93QG2wbN/H6txHVMMu50U+COko+GV9xOZUoWy4LoFrwjWkHChv4JfrVMuRfbjuiSPLhTYbNyLQNmg31TVFnWC53l3zn7Ze6wVpQY23ZA4ixMAFwiJEpOJL5ULS8MZEKe8LEj/7UnhYRTRKXAOkUV8RY/u+vSPHqflLBRli7Lz4JZ18DoZf1h/LbXJX4brQ6eWa4UNnHXcMgbI9P796ST/xaKxcO7bJ8eH6pyyo14RaNiGvicZASf2vxlQXypQ6QGebNBFh2lcVWNo99QIxTjyOTd0Z05Kl4OxrIiIzczCLWEREdkMhFhGZGV0TC+D169dtkGXjFzoEfvjhhzZUFGIRkZnRNSEiMjMKsYjIzCjEIiIzoxDLUcgL/n0ho6RgW7waR45HRo3WsmAAUx3MAQy2qPHGRtBuIwNDavp1EEk31BGuS0YhlqPAREg8F66BdRldVWFUVTduRtzJccl8DikHRrMxQrJ2jIgmwguJR7kSpyvYQ4yJN3Ug6SfUEXhLRiGW2cg8EmtpTGskQ/oDosy8H4hx5nrJlJVMGRDYh3V1HokhqAvEP9U5RRRimQUsHxqpk/ksj66VS1nSodZ5H/hP2GVSLeoBAYuXdE4RhVhmAd8eDbXPGmZbfID4DHe1quQ44DeO0AKWbP5XENUx1wRCjc8ZC7rrouqCqyP14qY+6LuKQixHhwZEY+6zhru+ZBo4DXVoFi85HpQFwjuFO4l0IsJDd0bVR03gk/uAGO/jg77LKMRydIas4S65XdUqnh/KjXKg3KZwKeEXRmT3FfXUHUR4LfVCIZajMmQNb2OXW1w5LIgwwon1Wh/eAcLYVz6sG/P5UhfibiBwHOA1xqFXFuMK0SIWuQH7WMNAQyOM+Q/lcCDA+HJxC/SVG2WDm4EQsjz0iauh19FwUQ29shj/cAR58TQnL3IU+Bw6Va6xqDZrvoT1jaXcfmofmsZ4/cn9rJPj8uzZs/bz9kNQTsShrAL7UW5sC6yj/KkH22iEuI1T96NOsD6wfyP+o5/2XxJaxHI0xqxhrCesqHwCi9tTWNMncZZG3heu7oMELGXA/RDrNdu4i5nqE1dY3OQjafd9ZmvpOA2miMjMaBGLiMyMQiwiMjO9romffvrp7O3bt5slmZuvv/767I8//tgsyVLxU0kCfipJROQOomtCRGRmFGIRkZlRiEVEZkYhFhGZGYVYRGRmFGIRkZlRiEVEZuXs7P8BQXr/mgEih6sAAAAASUVORK5CYII="/></fig><p><bold>Figura 1</bold> Caja y bigotes de mediana del grupo de docentes competencia procedimental</p><fig><label>Figure</label><graphic xlink:href="data:image/png;base64,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"/></fig><p>En la Figura 1, sobre el baremo de interpretación se observa que la mediana de las competencias investigativas metodológicas procedimentales es de 11.36, ubicando al grupo de docentes del programa de la UniCatólica del Sur en la categoría Deficiente. También se observa una distribución asimétrica con un recorrido que va desde 0 a 32 puntos, de un máximo de 50, lo cual indica con claridad que el grupo es heterogéneo en cuanto a sus competencias procedimentales; además, se encuentra por debajo de la mediana; es más homogéneo que el grupo sobre ella. Llama la atención que el puntaje mínimo indica que algunos docentes obtuvieron cero puntos en esta dimensión, lo cual es muy bajo.</p><p>En la Tabla 3 y Figura 2, a continuación, se percibe con detalle la distribución de los docentes con respecto a la frecuencia y porcentaje. Los datos analizados señalan que el 45 % se ubica en Muy deficiente; el 25 % en Deficiente; el otro 25 % en Regular; el 5 % en Suficiente y, 0 % en Excelente. Estos resultados resaltan que los docentes no tienen destrezas en el quehacer de un proceso de investigación; por lo tanto, los docentes de investigación no podrán enseñar con claridad la asignatura; así mismo, el grupo en general no es competente para realizar investigaciones y, en el caso de realizarlas, presentarían falencias en su construcción.</p><p><bold>Tabla 3 </bold>Distribución porcentual de docentes en categorías de las competencias procedimentales</p><fig><label>Figure</label><graphic xlink:href="data:image/png;base64,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"/></fig><bold>Figura 2</bold> Porcentaje de docentes en categoría de baremo competencias procedimentales<fig><label>Figure</label><graphic xlink:href="data:image/png;base64,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"/></fig>Se puede observar que las competencias investigativas metodológicas procedimentales son débiles en el 95 % de los docentes, puesto que el 45 % se ubica en categoría Muy deficiente; el 25 % en Deficiente y el 25 % en Regular.<bold>Figura 3</bold>Porcentaje de docentes con competencias procedimentales por pregunta<fig><label>Figure</label><graphic xlink:href="data:image/png;base64,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"/></fig>En el análisis se evidencia que las fortalezas de los docentes en cuanto a competencias procedimentales son: el 80 % extrae la temporalidad de una pregunta de investigación; el 60 % redacta el objetivo de investigación; el 65 % selecciona acertadamente los contenidos para la fundamentación teórica; el 60 % escoge correctamente la medida de tendencia central para el análisis de los resultados de una investigación.Por otra parte, las debilidades de estos docentes en sus competencias procedimentales están centradas en: no saber extraer el evento de estudio de una pregunta de investigación: 85 %; no extraer la unidad de estudio de una pregunta de investigación: 65 %; no elaborar preguntas de investigación: 65 %; no saber justificar una investigación: 65 %; no saber formular el tipo de investigación: 45 %; no seleccionar la técnica de recolección de los datos: 55 % ni el instrumento a aplicar de acuerdo con la pregunta de investigación: 55 % y, no contextualizan una investigación: 65 %.Diseño del plan de formaciónA partir de lo anterior, se diseñó y desarrolló un plan de formación basado en el uso de herramientas digitales, con el fin de fortalecer las competencias investigativas metodológicas procedimentales de los docentes, con base en el uso de herramientas digitales que los haría “más competitivos en el uso de nuevas tecnologías en el desarrollo de sus actividades escolares” (Caviativa et al., 2020, p. 1012).Es importante resaltar que el plan de formación está basado en el diseño de estrategias didácticas contenidas en una serie de lecciones, denominadas así porque lección, según la Real Academia Española (RAE, 2021) es “instrucción o conjunto de los conocimientos teóricos o prácticos que cada vez da a los discípulos el maestro de una ciencia, arte, oficio o habilidad” (párr. 3).A la persona que orienta a los docentes en la ejecución del plan de formación se le denomina mediador, acorde con lo planteado en la introducción. Para la evaluación de los docentes se seleccionó la técnica de portafolio de evidencias; este es una recopilación de trabajos elaborados por los estudiantes en un ciclo educativo, que muestra el proceso de desarrollo de las competencias y los logros alcanzados. El portafolio del plan de formación está compuesto, en primer lugar, por los productos o evidencias; en segundo lugar, el espacio para que los docentes realicen la valoración de la competencia investigativa metodológica procedimental abordada en la lección y, en tercer lugar, el espacio para que el mediador escriba las conclusiones en las que se describe las fortalezas y debilidades de las competencias de los docentes. En cada una de las hojas digitales de evidencias que conforman el portafolio están los espacios para valorar la competencia investigativa y las conclusiones, para que sean diligenciadas por el docente y el mediador, respectivamente.Inicialmente, se realiza el armado del portafolio digital de evidencias; esta es una actividad preliminar a la ejecución del plan de formación; es un paquete de aplicaciones de productividad colaborativa en Internet, que incluye enviar y recibir correos a través de una dirección de empresa y permite colaborar en tiempo real con hojas de cálculo y presentaciones en línea; asimismo, facilita la opción de almacenar archivos y crear copias de seguridad en la nube.A continuación, en la Tabla 4 se presenta la descripción de las lecciones diseñadas para la formación de las competencias investigativas metodológicas procedimentales en el grupo de docentes del programa de Administración de Servicios de Salud de la Unicatólica del Sur. Es primordial observar que cada una de las lecciones tiene una duración de seis horas; cuatro de ellas destinadas para trabajo autónomo y dos presenciales, bajo la orientación y responsabilidad del mediador, para un total de 48 horas.<bold>Tabla 4 </bold>Resumen del plan de formación basado en estrategias didácticas apoyadas en TIC<fig><label>Figure</label><graphic xlink:href="data:image/png;base64,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"/></fig><fig><label>Figure</label><graphic xlink:href="data:image/png;base64,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"/></fig>
			</sec><sec>
			<title>Discusión</title>
				<p>El resultado de esta investigación evidencia que el grupo de docentes de la UniCatólica del Sur es muy homogéneo; sus características son similares con relación a sus competencias investigativas metodológicas procedimentales; es decir, no se aprecia casos atípicos; sin embargo, la mediana de 11.36 es realmente baja, puesto que el máximo es de 50 puntos.</p><p>En la recopilación de trabajos científicos acerca de competencias investigativas, Reiban et al. (2017) sostienen: “Numerosos trabajos dejaron abiertos interrogantes acerca de las competencias investigativas requeridas por el profesor universitario” (p. 400). En el caso particular de los docentes de la UniCatólica del Sur, ellos necesitan fortalecer las competencias investigativas metodológicas procedimentales referentes a: la selección del tema, la determinación de la población/unidad, el tipo de investigación, la selección de la técnica e instrumento para la recolección de datos, junto con la elaboración de la pregunta de investigación, el marco contextual, objetivos y justificación, dados los inconvenientes importantes cuando de realizar investigaciones se trata.</p><p>Además, como afirman Buendía-Arias et al. (2018), una vez se logre fortalecer las competencias investigativas metodológicas procedimentales de los docentes por medio del plan de formación, es esencial reconocer el valor de la práctica pedagógica como un espacio para la reflexión y la investigación. Entonces, podría aplicarse la investigación como estrategia de enseñanza en la UniCatólica del Sur.</p><p>Según Arias et al. (2018) el uso de las TIC contribuye al fortalecimiento de las competencias investigativas; por ello se incluyó en el diseño del plan de formación del presente estudio, el uso de herramientas digitales en las lecciones planteadas y en la conformación del portafolio digital de evidencias.</p><p>Las competencias procedimentales son desarrolladas en un ciclo conformado por la planeación, la supervisión y la evaluación. Para dar cumplimiento a la primera etapa del ciclo se diseñó el plan de formación; cuando este se aplique, la supervisión se llevará a cabo por el mediador y, para la última etapa de evaluación, se provee el portafolio de evidencias para cada docente.</p><p>La competencia investigativa según el Centro Universitario CIFE (como se cita en Tobón, 2017) consiste en resolver problemas del contexto para actuar con mayor impacto en la realidad. Es por ello que, para elegir el tema de investigación, en el plan de formación el docente observa su entorno, puesto que finalmente buscará impactar su realidad.</p><p>En lo que atañe a estrategias didácticas para el fortalecimiento de competencias investigativas metodológicas procedimentales, se hizo la revisión de bibliografía, hallando que existen numerosas estrategias para el fortalecimiento de las competencias cognitivas, siendo los principales referentes, Frida Díaz Barriga y Gerardo Hernández (2005); los diferentes textos y artículos posteriores a ella presentan una repetición de sus estrategias; tan solo se ubicó una estrategia innovadora consistente en la lectura de textos intencionados. Sin embargo, en lo referente a las estrategias para el desarrollo de competencias procedimentales, fue más limitado el número en los artículos y textos revisados, que hacen mayor énfasis en las estrategias cognitivas. Sergio Tobón (2006) presenta escasos ejemplos de estrategias cognitivas, procedimentales y actitudinales. En general, no se evidenció estrategias propias para el fortalecimiento de competencias investigativas metodológicas procedimentales.</p><p>La elaboración de un plan de formación basado en el uso de herramientas digitales obedece a que varios autores resaltan la importancia de emplear las TIC en los procesos de enseñanza y aprendizaje; además, porque facilitan el desarrollo de las competencias procedimentales y se puede interactuar a través de ellas en tiempo real.</p><p>Carrión (2018) aduce:</p><p>La tecnología forma parte de todos los ámbitos de nuestra vida; por ello, se debe propiciar la formación del alumnado universitario y […] docentes como expertos en todo el proceso de utilización de las Tecnologías de la Información y Comunicación (TIC). (p. 1)</p><p>También, las herramientas digitales incluidas en el plan de formación pueden ser empleadas por los docentes en sus clases, obteniendo sus beneficios en la adquisición de competencias para sus estudiantes.</p>
			</sec><sec>
			<title>Conclusiones</title>
				<p>La caracterización de las competencias investigativas procedimentales implicó aplicar una encuesta basada en las dimensiones: Decide, Resuelve y Elabora (Barón, 2020) para, posteriormente, realizar un análisis estadístico descriptivo basado en la obtención de la mediana, que permitió determinar que las competencias investigativas procedimentales del grupo están en categoría muy deficiente.</p><p>La caracterización de las competencias investigativas procedimentales de un grupo de docentes puede realizarse aplicando una encuesta elaborada como resultado de una investigación previa con el mismo objetivo.</p><p>Así mismo, es fundamental que toda formación se realice a partir de un plan diseñado con base en una caracterización del grupo, dado que la aplicación de un instrumento proporciona la información puntual para formar al grupo a partir de las fortalezas y debilidades reales, aprovechando óptimamente los recursos disponibles.</p><p>Además, este estudio fue el medio para comprender que la investigación constituye una herramienta valiosa en la práctica pedagógica, que facilita la solución de problemas existentes en el contexto académico y, posibilita el mejoramiento de la calidad educativa.</p><p>Finalmente, se identificó la necesidad de la concienciación de los directivos de las IES acerca de los beneficios de realizar formaciones a partir de una investigación, además de ser uno de los medios para contribuir al desarrollo de la educación superior en entidades de características similares.</p>
			</sec><sec>
			<title>Conflicto de interés</title>
				<p>La autora del artículo declara no tener ningún tipo de conflicto de intereses del trabajo presentado.</p>
			</sec><sec>
			<title>Responsabilidades éticas</title>
				<p>La aprobación para la realización de la investigación fue dada por parte de la doctora Sonia María Gómez Erazo, Rectora de la Fundación Universitaria Católica del Sur, ya que cuando se dio inicio a la creación del proyecto, no existía como tal una vicerrectoría de investigación en la Unicatólica del Sur; esta fue creada posteriormente; igualmente, la rectora dio su aprobación para emplear el nombre de la institución en la tesis, para lo cual se adjunta las cartas de aprobación.</p><p>Por otra parte, los docentes que participaron en la investigación aceptaron libremente diligenciar los instrumentos para la recolección de datos y, previamente se les dio a conocer el consentimiento informado que fue firmado por todos ellos.</p>
			</sec><sec>
			<title>Referencias</title>
				<p>Acosta, M. y Lovato, S. (2019). Las competencias investigativas en docentes. Universidad, Ciencia y Tecnología, 23(93), 34-42.</p><p>Arias, M. L., Arias, E., Arias, J., Ortiz, M. M. y Garza, M. G. (2018). Perfil y competencias del docente universitario recomendados por la UNESCO y la OCDE. Revista Atlante: Cuadernos de Educación y Desarrollo, 1-21.</p><p>Barón-Pinto, L. L. (2019). Formación metodológica para el desarrollo de competencias investigativas en docentes de la asignatura de Investigación de Educación Básica y Media [Tesis Doctoral, Universidad Metropolitana de Educación, Ciencia y Tecnología, UMECIT]. https://repositorio.umecit.edu.pa/handle/001/2826</p><p>Barón, L. (2020). Competencias investigativas en docentes de la asignatura de investigación de educación básica y media. Mérito: Revista de Educación, 2(4), 12-66. https://doi.org/10.33996/merito.v2i4.129.</p><p>Bravo, F. A. (2019). La estrategia pedagógica Deci y el desarrollo de competencias investigativas en estudiantes de maestría de la Universidad César Vallejo – sede Utcucamba, 2018 [Tesis de Maestría, Universidad César Vallejo]. https://repositorio.ucv.edu.pe/handle/20.500.12692/38292</p><p>Buendía-Arias, X. P., Zambrano-Castillo, L. C. e Insuasty, E. A. (2018). El desarrollo de competencias investigativas de los docentes en formación en el contexto de la práctica pedagógica. Folios, (47), 179-195. https://doi.org/10.17227/folios.47-7405</p><p>Carrión, E. (2018). El uso de la gamificación y los recursos digitales en el aprendizaje de las Ciencias Sociales en la Educación Superior. DIM, Didáctica, Innovación y Multimedia, (36).</p><p>Caviativa, Y. P., Amaya, J. C., Jaramillo, V., Galvis, G. y Vásquez, A. (2020). Análisis de la efectividad de las herramientas digitales educativas. Tecnologías educativas y estrategias didácticas, 1005-1013.</p><p>Decreto 1330 de 2019. (2019, 25 de julio). Presidencia de la República de Colombia. https://www.mineducacion.gov.co/1780/articles-387348_archivo_pdf.pdf</p><p>Díaz-Barriga, F. y Hernández, G. (2005). Estrategias docentes para un aprendizaje significativo. Una interpretación constructivista (2.a ed.). McGraw-Hill Interamericana Editores S. A. de C. V.</p><p>Fontes, P. V. (2020). A reflexão epistemológica de Habermas e a sua proposta de racionalidade comunicativa. Griot, Revista de Filosofía, 20(1), 277-288. https://doi.org/10.31977/grirfi.v20i1.1356</p><p>Hernández, I. (2009). El docente investigador en la formación de profesionales. Revista Virtual Universidad Católica del Norte, (27), 1-21.</p><p>Hernández, R., Fernández, C. y Baptista, P. (2014). Metodología de la investigación (6.ª ed.). McGraw-Hill / Interamericana Editores, S.A. de C.V.</p><p>Hurtado, J. (2012). Metodología de la Investigación. Quirón Ediciones.</p><p>León-León, G. y Zúñiga-Meléndez, A. (2019). Mediación pedagógica y conocimientos científicos que utiliza una muestra de docentes de ciencias en noveno año de dos circuitos del sistema educativo costarricense, para el desarrollo de competencias científicas. Revista Electrónica Educare, 23(2), 81-104. http://dx.doi.org/10.15359/ree.23-2.5</p><p>Montes, I. C. y Mendoza, P. (2018). Docencia e investigación en Colombia desde la perspectiva del capitalismo académico. Archive Analíticos de Políticas Educativas, 26(40), 1-29. https://doi.org/10.14507/epaa.26.3220</p><p>Pérez, R. (2010). Nociones básicas de estadística. Universidad de Oviedo.</p><p>Real Academia Española (RAE). (2022). Diccionario de la lengua española, 23.ª ed., https://dle.rae.es</p><p>Reiban, R. E., De la Rosa, H. y Zeballos, J. M. (2017). Competencias investigativas en la Educación Superior. Revista Publicando, 4(10), 395-405.</p><p>Tobón, S. (2006). Formación basada en competencias. Pensamiento complejo, diseño curricular y didáctica (2.a ed.). Ecoe.</p><p>Tobón, S. (2017). Evaluación socioformativa. Estrategias e instrumentos. Kresearch.</p>
			</sec><sec>
			<title>Contribución </title>
				<p>Rocío Rosero de la Torre: Investigadora principal.</p><p>La autora participó en la elaboración del manuscrito, lo leyó y aprobó.</p>
			</sec></body>
  <back>
    <ack>
      <p>No aplica</p>
    </ack>
  </back>
</article>