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Recibido: 18-07-20= 19/ Revisado: 25-07-2019/Aceptado: 16-08-2019/ Publicado: 06-09-2019=

DOI: https://doi.org/10.33262/exploradordigital.v3i3.1.885 = <= /span>

 

Las analíticas de aprendizaje en = el Ecuador: Un análisis inicial basado en el mapeo sistemático de los trabajos de graduación

 

Learning analytics in Ecuador: An initial analysis based on the syst= ematic mapping of graduation works

 

Rubén Antonio Pazmińo Maji.[1]= , Jorge Rigoberto López Ortega.[2], Miguel Ángel Conde González.[3] & Francisco José García Peńalvo.[4]=

=  

Abstract         <= /span>

Learning Analytics are the collection, analysis and visualization of data from the learning process and its environment. The use of Learning Analytics provides the opportunity to build models that allow analyzing and strengthening the learning process at the middle and higher educational lev= el. In the last five years (2014-2018), the Scopus bibliographic database shows 2180 documents related to Learning Analytics; this shows the importance and growing interest in this line of research. This research uses the Mapping Review of Literature to answer five questions about undergraduate and postgraduate degree works in the area of Learning Analytics by Ecuadorian authors. The study was carried out in the last five years (2014-2018), the digital repositories Senescyt and rraae were used as sources of information. The initial searches resulted in thirt= een documents on Learning Analytics produced by Ecuadorian authors.  The application of the inclusion, exclu= sion and quality criteria decreased the number of documents; three graduation wo= rks are finally used. This work contributes to showing the Higher Education Institutions, educational levels, keywords, years and authors of the undergraduate and postgraduate graduation papers on Learning Analytics in Ecuador. The answers to the research questions posed = will allow researchers to determine the characteristics of undergraduate and postgraduate degree works on Learning Analytics th= at have been made in Ecuador in the last five years. This research is fully re= plicable if the same sources of information and the same objectives are used.

= Keywords: Learning Analytics, Ecuador, Systematic Mapping, graduation work.

 

Resumen=

Las Analíticas de Aprendizaje son la recopilación, análisis y visualización de datos del proc= eso de aprendizaje y su entorno.  La utilización de las Analíticas de Aprendizaje provee la oportunidad para construir modelos que permitan analizar y fortalecer el proceso de aprendiz= aje a nivel educativo medio y superior. En los últimos 5 ańos (2014-2018), la b= ase de datos bibliográfica Scopus muestra 2180 docu= mentos relacionados con las Analíticas de Aprendizaje, esto evidencia la importanc= ia y el interés cada vez más creciente en esta línea de investigación. Esta investigación utiliza el Mapeo Sistemático de Literatura para responder cinco preguntas sobre los Trabajos de Graduación = de pregrado y postgrado en el área de las Analíticas de Aprendizaje de autores ecuatorianos. El estudio se realizó en los últimos 5 ańos (2014-2018), se utilizaron como fuentes de información los repositorios digitales Senescyt y rraae. Las bús= quedas iniciales dieron como resultado 13 Trabajos de Graduación sobre Analíticas = de Aprendizaje producidos por autores ecuatorianos. La aplicación de los crite= rios de inclusión, exclusión y calidad disminuyó el número de documentos, finalm= ente se utilizaron tres Trabajos de Graduación. Este trabajo contribuye mostrando las instituciones de educación superior, los niveles educativos, las palabr= as clave, los ańos y los autores de los Trabajos de Graduación de pregrado y posgrado en Learning Analy= tics en Ecuador. Las respuestas a las preguntas de investigación planteadas permitirán a los investigadores determinar las características de los Traba= jos de Graduación sobre Learning Analytics que se han realizado en Ecuador. Esta investigación es plenamente reproduci= ble si se utilizan las mismas fuentes de información y los mismos objetivos.

P= alabras claves: Analíticas de Aprendizaje, Ecuador, Mapeo Sistemático, Trabajos de Graduación.

Intro= ducción

Los recursos en esta página proporcionan una introducción al tema de las aplicaciones de software de análisis de aprendizaje en la educación superior. Al momento de presentar e= ste artículo científico no existe ninguna documentación que muestre el estado actual de = las Analíticas de Aprendizaje en el Ecuador, los artículos más cercanos son los titulados “An Initial Review of Learning Analytics in Latin = America” (Dos Santos, Cechinel, Nunes, & Ochoa, 2017) y “Learning Analytics in Latin America present an opportunity not to be missed” (Ochoa, 2019) ambos escritos por el ecuatoria= no Xavier Ochoa.

Las Analíticas de Aprendizaje se definen como "la medición, recopilación, análisis e informe de datos s= obre los alumnos y su contexto, con el fin de comprender y optimizar el aprendiz= aje y los entornos en los que ocurre" (Siemens & Long, 2011) o también como "una aplicación educativa de análisis web dirigida a la elaboraci= ón de perfiles de los alumnos, un proceso de recopilación y análisis de detall= es de las interacciones individuales de los estudiantes en las actividades de aprendizaje en línea" (Johnson et al., 2016). La llegada del aprendiza= je en línea ha permitido rastrear el camino del estudiante hacia la comprensió= n y el dominio de los conocimientos de un curso. Este tipo de seguimiento conoc= ido como “Analíticas de Aprendizaje” es un tema candente entre los educadores, = la pregunta que todos debaten es żCómo se pueden aprovechar los datos para mej= orar el diseńo del curso y el aprendizaje? Los intentos de imaginar el futuro de= la Educación Superior a menudo enfatizan en las nuevas tecnologías de la información y comunicación tales como: dispositivos informáticos ubicuos (F= eliz González, 2017), diseńos de aulas flexibles y pantallas visuales innovadora= s. Basar las decisiones en datos y evidencias parece sorprendentemente obvio, = la toma de decisiones basada en datos mejora el rendimiento y la productividad= de las organizaciones educativas.

La historia de la educación en el Ecuador ha llevado un camino ascendente, con tropiezos ha logrado vencer serias limitaciones provenientes de la pobreza,= de los prejuicios y de la ineptitud. En 1928 se fundó la Facultad de Filosofía= y Letras en la Universidad Central de Quito y dentro de ella el Instituto de Pedagogía. Desde entonces ha habido serios esfuerzos por mejorar la formaci= ón profesional de los docentes, sin olvidar el recurrente problema de la politización de la educación, agravado por el escaso presupuesto del minist= erio pertinente.

La educación particular pasó por momentos muy difíciles desde inicios del siglo hasta el reconocimiento de e= se derecho en 1946, pero el proceso fue lento. Junto a excelentes centros no h= an faltado aquellos mediocres. Sin embargo, dentro de esta área de la educació= n no solo han surgido innovaciones positivas sino también proyectos en beneficio= de los sectores menos favorecidos. Ha sido una constante a lo largo del siglo = XX el sucederse de “reformas pedagógicas y curriculares”, a veces más fundamentadas, a veces menos. Además, a partir de mediados de ese siglo, gracias a las rentas del banano y luego del petróleo, ha aumentado sustancialmente el número y la calidad de los establecimientos educativos (Freile, 2015).

Rraae es la Red de Repositorios de Acceso Abierto de Ecuador es el motor de búsqueda nacional, su propósito es facilitar la gestión, descentralización, organización, preservación e interoperabilidad de contenido digital de acce= so abierto, generado por las instituciones de la comunidad académica y científ= ica del Ecuador. Se promueve la visibilidad de la producción de conocimiento distribuido en los diferentes repositorios institucionales a nivel nacional= . El rraae es el nodo nacional que forma parte de la= Red Federal de Repositorios Institucionales de Publicaciones Científicas de Amé= rica Latina («Rraae», s. f.).

Actualmente el Ecuador cuenta con= 61 Instituciones de Educación Superior («Portal Ciudadano SNIESE», s. f.) de l= as cuales 32 se encuentran inscritas en la rraae (= ver Tabla 1).

 

Tabla 1: Todas las Universidades del Ecuador y aquellas inscritas a la red rraae

No.

Universidades Ecuatorianas

RRAAE

1

ESCUELA POLITECNICA NACIONAL=

Si

2

ESCUELA SUPERIOR POLITECNICA AGROPECUARIA DE MANABI

Si

3

ESCUELA SUPERIOR POLITECNICA DE CHIMBORAZO

Si

4

ESCUELA SUPERIOR POLITECNICA DEL LITORAL

Si

5

FACULTAD LATINOAMERICANA DE CIENCIAS SOCIALES

6

INSTITUCIÓN EXTRANJERA

7

INSTITUTO DE ALTOS ESTUDIOS NACIONA= LES

Si

8

PONTIFICIA UNIVERSIDAD CATOLICA DEL= ECUADOR (Sedes Quito y Ambato)

Si

9

UNIVERSIDAD AGRARIA DEL ECUADOR

10

UNIVERSIDAD ANDINA SIMON BOLIVAR

Si

11

UNIVERSIDAD CASA GRANDE

Si

12

UNIVERSIDAD CATOLICA DE CUENCA

13

UNIVERSIDAD CATOLICA DE SANTIAGO DE GUAYAQUIL

Si

14

UNIVERSIDAD CENTRAL DEL ECUADOR

Si

15

UNIVERSIDAD DE CUENCA

Si

16

UNIVERSIDAD DE ESPECIALIDADES TURISTICAS

17

UNIVERSIDAD DE GUAYAQUIL

Si

18

UNIVERSIDAD DE INVESTIGACION DE TECNOLOGIA EXPERIMENTAL YACHAY<= /p>

Si

19

UNIVERSIDAD DE LAS AMERICAS<= span style=3D'font-size:10.0pt;line-height:115%;font-family:"Times New Roman",= serif'>

Si

20

UNIVERSIDAD DE LAS ARTES

Si

21

UNIVERSIDAD DE LAS FUERZAS ARMADAS (ESPE)

Si

22

UNIVERSIDAD DE LOS HEMISFERIOS

23

UNIVERSIDAD DE OTAVALO

Si

24

UNIVERSIDAD DEL AZUAY

Si

25

UNIVERSIDAD DEL PACIFICO ESCUELA DE NEGOCIOS

26

UNIVERSIDAD DEL RÍO

27

UNIVERSIDAD ESTATAL AMAZONICA

Si

28

UNIVERSIDAD ESTATAL DE BOLIVAR

Si

29

UNIVERSIDAD ESTATAL DE MILAGRO

Si

30

UNIVERSIDAD ESTATAL DEL SUR DE MANA= BI

31

UNIVERSIDAD ESTATAL PENINSULA DE SA= NTA ELENA

Si

32

UNIVERSIDAD IBEROAMERICANA DEL ECUA= DOR

33

UNIVERSIDAD INTERNACIONAL DEL ECUAD= OR

Si

34

UNIVERSIDAD LAICA ELOY ALFARO DE MA= NABI

35

UNIVERSIDAD LAICA VICENTE ROCAFUERT= E DE GUAYAQUIL

36

UNIVERSIDAD METROPOLITANA

37

UNIVERSIDAD NACIONAL DE CHIMBORAZO<= /span>

Si

38

UNIVERSIDAD NACIONAL DE EDUCACION U= NAE

39

UNIVERSIDAD NACIONAL DE LOJA=

Si

40

UNIVERSIDAD PARTICULAR DE ESPECIALIDADES ESPIRITU SANTO

41

UNIVERSIDAD PARTICULAR INTERNACIONAL SEK

42

UNIVERSIDAD PARTICULAR SAN GREGORIO= DE PORTOVIEJO

43

UNIVERSIDAD POLITECNICA ESTATAL DEL= CARCHI

Si

44

UNIVERSIDAD POLITECNICA SALESIANA

Si

45

UNIVERSIDAD REGIONAL AMAZONICA IKIA= M

46

UNIVERSIDAD REGIONAL AUTONOMA DE LOS ANDES

Si

47

UNIVERSIDAD SAN FRANCISCO DE QUITO<= /span>

Si

48

UNIVERSIDAD TECNICA DE AMBATO

Si

49

UNIVERSIDAD TECNICA DE BABAHOYO

50

UNIVERSIDAD TECNICA DE COTOPAXI

51

UNIVERSIDAD TECNICA DE MACHALA

Si

52

UNIVERSIDAD TECNICA DE MANABI

53

UNIVERSIDAD TECNICA DEL NORTE

Si

54

UNIVERSIDAD TECNICA ESTATAL DE QUEV= EDO

Si

55

UNIVERSIDAD TECNICA LUIS VARGAS TOR= RES DE ESMERALDAS

56

UNIVERSIDAD TECNICA PARTICULAR DE L= OJA

Si

57

UNIVERSIDAD TECNOLOGICA ECOTEC

58

UNIVERSIDAD TECNOLOGICA EMPRESARIAL= DE GUAYAQUIL

59

UNIVERSIDAD TECNOLOGICA INDOAMERICA=

Si

60

UNIVERSIDAD TECNOLOGICA ISRAEL

61

UNIVERSIDAD UTE

Si

TOTAL

36

 

En este estudio se han considerado un total de 199965 Trabajos de Graduación correspondientes al 59% de Universidades ecuatorianas (36 en total), repart= idas como se muestra en la Tabla 2.

Tabla 2: Distribución de los 225717 Trabajos de Graduación considerados

FUENTE:Rraae», s. f.)

Trabajo de Graduación

Número

Tesis de pregrado

172067

Tesis de Maestría

27486

Tesis de Doctorado

412

TOTAL

199965

 

En la Figura 1, se muestran las provincias, las Universidades y sus respectivos repositorios digitales desde donde se cosecha la información que alimenta frecuentemente a la rraae.

Figura 1: Repositorio Universitarios cosechados por rraae= por provincia

FUENTE: («Estadísticas», s. f.)

 

Los Trabajos de Graduación de pregrado se guían por el Reglamento de Régimen Académico elaborado por EL CONSEJO DE EDUCACIÓN SUPERIOR («CES - Consejo de Educación Superior | Ecuad= or», s. f.) con resolución RPC-SO-08-No.111-2019 («Buscar en Gaceta Oficial | CE= S - Consejo de Educación Superior | Ecuador», s. f.), que en sus artículos núme= ro 32 y 33 respectivamente indican: “Artículo 32.- Diseńo, acceso y aprobación= de la unidad de integración curricular del tercer nivel.- Cada IES diseńará la unidad de integración curricular, estableciendo su estructura, contenidos y parámetros para el correspondiente desarrollo y evaluación. Para acceder a = la unidad de integración curricular, es necesario haber completado las horas y= /o créditos mínimos establecidos por la IES, así como cualquier otro requisito establecido en su normativa interna. Su aprobación se realizará a través de= las siguientes opciones: a) Desarrollo de un trabajo de integración curricular;= o, b) La aprobación de un examen de carácter complexivo, mediante el cual el estudiante deberá demostrar el manejo integral de los conocimientos adquiri= dos a lo largo de su formación.  Las IES podrán ofrecer una o ambas opciones de los literales anteriores para la aprobación de la unidad de integración curricular. El desarrollo de esta un= idad deberá asegurar la evaluación y calificación individual, con independencia = de los mecanismos de trabajo implementados. Una vez aprobada la unidad de integración curricular, su calificación deberá ser registrada de manera inmediata. Se podrá emitir el título respectivo únicamente cuando el estudi= ante apruebe todos los requisitos académicos y administrativos establecidos en la resolución de aprobación de la carrera o programa, lo que constará en el ac= ta consolidada de finalización de estudios, en conformidad con el artículo 101= de este Reglamento. Artículo 33.- Reprobación de unidad de integración curricular,- Un estudiante podrá reprobar hasta dos (2) veces la unidad de integración curricular, y solicitar autorización para cursarla por tercera = (3) ocasión mediante los mecanismos definidos por la IES. En caso que la IES ofrezca las dos (2) opciones de aprobación de la unidad de integración curricular, establecidos en el artículo precedente, podrá cambiarse una úni= ca vez de opción mediante el proceso que establezca la IES”.=

Los Trabajos de Graduación de postgrado se guían por el Regl= amento de Régimen Académico elaborado por EL CONSEJO DE EDUCACIÓN SUPERIOR («CES - Consejo de Educación Superior | Ecuador», s. f.) con resolución RPC-SO-08-N= o.111-2019 («Buscar en Gaceta Oficial | CES - Consejo de Educación Superior | Ecuador»= , s. f.) , que en sus artículos número 34 y 35 respectivamente indican: “Artículo 34.- Unidades de organización curricular del cuarto nivel.- Un programa de = posgrado deberá contar con las siguientes unidades: c) Unidad de titulación.- Valida= las competencias profesionales, tecnológicas y/o investigativas para el abordas= e de situaciones, necesidades, problemas, dilemas o desafíos de la profesión y l= os contextos desde un enfoque reflexivo, investigativo, experimental, innovado= r, entre otros. Artículo 35.- Diseńo, acceso y aprobación de unidad de titulac= ión del cuarto nivel.- Cada IES diseńará su unidad de titulación de posgrado, estableciendo su estructura, contenidos y parámetros para su desarrollo y evaluación; distinguiendo la trayectoria de investigación y profesional, se= gún lo indicado en el artículo 22 de este Reglamento. Para acceder a la unidad = de titulación es necesario haber completado las horas y/o créditos mínimos establecidos por la IES. La aprobación implica haber completado y aprobado = una (1) de las siguientes opciones: b) Posgrados con trayectoria de investigaci= ón: Tesis con componente de investigación básica y/o aplicada, con característi= cas de originalidad, relevancia y de impacto científico; que responda a las convenciones científicas del campo respectivo, pudiendo usar métodos propio= s de la disciplina o métodos multi e interdisciplinares. Las IES podrán establec= er requisitos de artículos científicos enviados, aceptados y/o publicados para= la titulación”.

El propósito de un Mapeo Sistemát= ico de Literatura (Jesson, Matheson, & Lacey, 2011) es el de responder a las preguntas de investigación planteadas en forma clara y enfocada. También permite utiliza= ndo los criterios de inclusión que las preguntas contesten a hipótesis más sofisticadas (Pazmińo-Maji, García-Peńalvo, &am= p; Conde-González, s. f.). Un Mapeo Sistemático de Literatura debe ser procesu= al, auditable y totalmente replicable, inicialmente se han aplicado a la revisi= ón de literatura, pero pueden ser fácilmente utilizados en otros ámbitos (Pazm= ińo-Maji, García-Peńalvo, & Conde-González, 2017) (Pa= zmińo-Maji, Valverde-Aguirre, García-Peńalvo, & Conde-González, 2019) con mucho éxito. Las preguntas de investigación deben definirse al comienzo de su Mapeo Sistemático. Una pregunta de investigación bien formulada ayudará a determinar sus criterios de inclusión y exclusión,= la creación de su estrategia de búsqueda, la recopilación de datos y la presentación de sus hallazgos. Una buena pregunta de investigación, permite encontrar rápidamente información válida (cumple con precisión los objetivos establecidos). Además, deben ser claras, inequívocas y estructuradas. Las preguntas de revisión generalmente tienen un enfoque preciso. Es importante formular las preguntas de investigación con cuidado para evitar perder estu= dios relevantes o recopilar un conjunto de resultados potencialmente sesgados (<= span class=3DSpellE>Kitchenham, Budgen, &= Brereton, 2016).

El método PICOC (población, intervención, comparación, salida (output) y conte= xto) es una herramienta útil para definir preguntas claras y específicas y desarrollar un protocolo de revisión. Además, es una herramienta útil para hacer preguntas y subpreguntas de investigación enfocadas (Coleman, s. f.). Así como PICOC hay otras metodologías para gene= rar las preguntas de investigación tales como las Analíticas de Aprendizaje (PazmińoMaji, Solis-Benavi= des, García-Peńalvo, & Conde-González, 2019), PICOS y SPIDER (Methley, Campbell, Chew-G= raham, McNally, & Cheraghi-Sohi, 2014).=

La Senescyt<= /span> es la Secretaría de Educación Superior, Ciencia, Tecnología e innovación, p= ara mantener la memoria de la educación superior, en el transcurso de los últim= os ańos ha venido impulsando la utilización de su repositorio digital («Repositorio Digital Senescyt: Página de inici= o», s. f.) basado en DSpaceDSp= ace: An Open Source Dyna= mic Digital Repository», s. f.). El repositorio dig= ital de la Senescyt permite divulgar y fomentar la investigación en temas vinculados con la Educación Superior en el Ecuador y= dar a conocer además todos los repositorios digitales de las Universidades del Ecuador como se muestra en la Figura 2.

Figura 2: Acceso a los Repositorios Digitales del Ecuador mediante Senescyt

 

En la sección de metodología se detalla el proceso de Mapeo Sistemático utiliz= ado. En la sección de resultados, se responden a las cinco preguntas de investigación planteadas y en las conclusiones se sintetizan los resultados obtenidos. Las evidencias de lo expuesto en este artículo científico se pue= den encontrar en el siguiente link = https://liveespochedu<= span style=3D'font-size:12.0pt;line-height:115%;font-family:"Times New Roman",se= rif; color:black;mso-themecolor:text1'>my.sharepoint.com/:f:/g/personal/rpazmino= _espoch_edu_ec/EmADu8JGPkdOuH_ttoMTW = zoBWw1kD_y38ThUGSF_JZOiCQ?e=3DZVQLJp=

Metodología

El objetivo de este Trabajo de investigación es el de realizar un acercamiento a las investigaciones sobre Analíticas de Aprendizaje en el Ecuador, utilizando para ello los Trabajos = de Graduación tanto de pregrado como de postgrado en todas las Instituciones de Educación Superior Ecuatorianas.  La metodología utilizada es el Mapeo Sistemático de Literatura, se elaboró un = plan de ejecución que tuvo como objetivo responder a las siguientes cinco pregun= tas de investigación, que se muestran en la Tabla 3.

Tabla 3: Número y enunciado de las preguntas de investigación

No.

Enunciado de la Pregunta de Investigación

1

żCuáles Instituciones de Educación Superior tienen Trabajos de Graduación sobre Analíticas de Aprendizaje?

2

żCuáles Trabajos de Graduación sobre Analíticas de Aprendizaje son de pregrado o postgrado?

3

żCuáles son las principales palabras clave de los Trabajos de Graduación sobre Analíticas de Aprendizaje en Instituciones de Educación Superior Ecuatorianas?

4

żCuáles son los ańos de publicación y tendencia de los Trabajos de Graduación sobre Analíticas de Aprendizaje en Instituciones de Educación Superior Ecuatorianas?

5

żCuáles son los autores y coautores de los Trabajos de Graduación sobre Analítica= s de Aprendizaje en Instituciones de Educación Superior Ecuatorianas?

 

El propósito de un Mapeo Sistemát= ico de literatura es responder preguntas de investigación claras y enfocadas.  PICOC es un método utilizado para descr= ibir los cinco elementos de las preguntas de investigación y facilitar su búsque= da, la Tabla 4, muestra la aplicación de este método:

Tabla 4: Método PICOC aplicado a las preguntas de investigación

PICOC

RQ1

RQ2

RQ3

RQ4

RQ5

Población

Trabajos de Graduación de pregrado y postgrado en el Ecuador

Intervención

No Aplica

 

 

 

 

Comparasión

No Aplica

 

 

 

 

Outcome (Salida)

Universidades ecuatorianas=

Trabajos de pregrado y postgrado

palabras clave

Ańos de publicació= n=

Autores y coaut= ores

Contexto

Relacionados= con Analíticas de aprendizaje realizados por autores ecuatorianos (desde 2014 hasta 2018)

El proceso gráfico de Mapeo Sistemático se observa en la Figura 3, y se muestra a continuación.

Definición del objetivo

del

Mapeo Sistemático

1

 objetivo general

Planteamiento de las

preguntas de

investigación

 preguntas de =

5

investigación

Aplicación del método

PICOC

1

 Matriz PICOC con 5 f= ilas

Selección de

buscadores y

repositorios digitales

2

 repositorios digital= es

Planteamiento de las

cadenas de búsqueda

2

 Búsquedas Avanzadas<= /span>

Obtención de

Resultados

 Trabajos =

13

Aplicación de los

criterios de Inclusión,

Exclusión y Calidad

3

 Trabajos de Grado

Respuesta a las

preguntas de

Investigación

 preguntas respondida= s

5

Elaboración de

conclusiones

Conclusiones

 

Fig= ura 3: Proceso de Mapeo Sistemático

 

Como se requieren los Trabajos de Pregrado y Postgrado del Ecuador se ha utilizado el repositorio digital de recursos abiertos del Ecuador rraae y Senescyt. Se utilizó una cadena de búsqueda avanzada = (Hausner & Waffenschmidt, 2016) con las características que se muestran en la Figura 4.

Figura 4: Búsqueda Avanzada en rraae

 

Los resultados obtenidos se muest= ran en la Figura 5:

Figura 5: Resultados de la búsqueda Avanzada en rraae

En la Figura 6, se muestra las opciones de búsqueda para encontrar todos los documentos sobre Analíticas de Aprendizaje que se encuentran en el repositorio digital de la Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (= Senescyt)

Figura 6: Búsqueda Avanzada en el Repositorio Digital Sen= escyt

 

En la Figura 7, se puede observar= los nueve documentos relacionados con las Analíticas de Aprendizaje y que repos= an en el Repositorio Digital Senescyt.<= /span>

=

Figura 7: Documentos encontrados en la Búsqueda Avanzada del Repositorio Digit= al Senescyt

Los resultados obteni= dos se muestran en la Tabla 5.

Tabla 5: Total de Resultados obtenidos en las búsquedas

No.=

Repositorio

Título

Autor(es)<= /span>

1

rra= ae

Learning Analytics Ta= sks As Services In Smart Classrooms

Aguilar, Jos? L.

2

rra= ae

Ontology For Modelling And Understanding Educational Data And Concepts-An Application To Learning Analytics For Secondary Project

Cueva Rueda, Rodrigo Alejandro; Sancho Sans?, Mar?a Ribera

3

rra= ae

Self-Regulated Learni= ng Strategies Predict Learner Behavior And Goal Attainment In Massive Open Online Courses

Maldonado Mahauad, Jorge Javier

4

rra= ae

Estudio Comparativo D= el Análisis Estadístico Implicativo Y El Learning Analytics En R= elación Al Uso De Las Técnicas De Exploración De Datos Educativos

Naranjo Serrano, Mauricio Medardo

5

Sen= escyt

Cloud Computing in Sm= art Educational Environments: application in Learning Analytics as Service

Aguilar Castro, José Lisandro

6

Sen= escyt

Business intelligence applied to learning analytics in student-centered learning processes=

Aguilar Castro, José Lisandro

7

Sen= escyt

Construcción de un mo= delo para determinar el rendimiento académico de los estudiantes basado en learning analytics (aná= lisis del Aprendizaje), mediante el uso de técnicas multivariantes

Pino Mejías, José Luis; Muńoz Pichardo, Juan Manuel; Gar= cía Tinisaray, Daysi Karina

8

Sen= escyt

Learning analytics ta= sks as services in smart classrooms

Aguilar, José L.

9

Sen= escyt

Ontology for modelling and understanding educational data and concepts-An application to Learning Analytics for Secondary project

Sancho Sansó, María Ribera; Cueva Rueda, Rodrigo Alejandro

10<= /p>

Sen= escyt

La serpiente arcoíris= : un llamado del inconsciente

Lu, Kevin; San Andrés Herrera, Estefany Carolina

11<= /p>

Sen= escyt

Propuesta de un Model= o de Comportamiento Colectivo de Estudiantes para un Sistema Inteligente de Tutoría dirigido al Entrenamiento Procedimental

Ramírez Rodríguez, Jaime; Riofrío Luzcan= o, Diego Fernando

12<= /p>

Sen= escyt

Optimal Resource Allocation and Budgeting in Libraries

Cattrysse, DirkSigu= enza Guzman, Lorena

13<= /p>

Sen= escyt

Producción de recursos educativos abiertos con componentes sociales y semánticos basados con técnicas de Ingeniería del Conocimiento

Alarcón, Pedro Pablo; Pérez Benedi, Jennifer; Sánchez Crespo, Luis; Rodríguez Sánchez, Manuel; Robles Martínez, Gregorio; Cueva Carrión, Samanta Patri= cia

 

Los criterios de cali= dad se basan sobre todo en que el origen de los documentos garantice estatalmen= te que son de Universidades Ecuatorianas, en este caso al trabajar con Fuentes como el rraae y Senescyt, se logra que en todos los documentos obtenidos el criterio de calidad se cumpla.

Los criterios de Inclusión utilizados fueron de que los documentos pertenecieran al período 2014-2018, en este caso todos los documentos cumplen y por tanto se mantienen.  No hay documentos dupli= cados entonces se mantienen los 13 documentos. Además, que los documento traten d= e Analices de Aprendizaje (o Learning Analytics) obteniéndose que únicamente 7 documentos cumplen este criterio, la Tabla 6, muestran estos resultados.

Tabla 6: Total de Resultados aplicando los criterios de inclusión

Rep= ositorio

Tít= ulo

Aut= or(es)

rraae

Learning Analytics Ta= sks As Services In Smart Classrooms

Aguilar, Jos? L.=

rraae

Ontology For Modelling And Understanding Educational Data And Concepts-An Application To Learning Analytics For Secondary Project

Cueva Rueda, Rodrigo Alejandro; Sancho Sans?, Mar?a Ribera

rraae

Self-Regulated Learni= ng Strategies Predict Learner Behavior And Goal Attainment In Massive Open Online Courses

Maldonado Mahauad, Jorge Javier

rraae

Estudio Comparativo D= el Análisis Estadístico Implicativo Y El Learning Analytics En R= elación Al Uso De Las Técnicas De Exploración De Datos Educativos

Naranjo Serrano, Maur= icio Medardo

Senescyt

Cloud Computing in Sm= art Educational Environments: application in Learning Analytics as Service

Aguilar Castro, José Lisandro

Senescyt

Business intelligence applied to learning analytics in student-centered learning processes=

Aguilar Castro, José Lisandro

Senescyt

Construcción de un mo= delo para determinar el rendimiento académico de los estudiantes basado en learning analytics (aná= lisis del Aprendizaje), mediante el uso de técnicas multivariantes

Pino Mejías, José Luis; Muńoz Pichardo, Juan Manuel; García = Tinisaray, Daysi Karina

 

 

Luego de realizar un tamizado con los 7 documentos restantes, se aplicó el criter= io de exclusión que deben ser Trabajos de Graduación y se obtuvieron el número final de 3 documentos que se muestran en la Tabla 7.

 

Tabla 7: Total de Resultados aplicando los criterios de exclusión<= /span>

Rep= ositorio

Tít= ulo

Aut= or(es)

Cit= a

rraae

Ontology For Modelling And Understanding Educational Data And Concepts-An Application To Learning Analytics For Secondary Project

Cueva Rueda, Rodrigo Alejandro; Sancho Sans?, Mar?a Ribera

(Casanovas Muńoz, 2016)

rraae

Estudio Comparativo D= el Análisis Estadístico Implicativo Y El Learning Analytics En R= elación Al Uso De Las Técnicas De Exploración De Datos Educativos

Naranjo Serrano, Maur= icio Medardo

(Naranjo Serrano, 2018)

Senescyt

Construcción de un mo= delo para determinar el rendimiento académico de los estudiantes basado en learning analytics (aná= lisis del Aprendizaje), mediante el uso de técnicas multivariantes

Pino Mejías, José Luis; Muńoz Pichardo, Juan Manuel; García = Tinisaray, Daysi Karina

 (Tinisaray & Karina, 2016)

 

A continuación, se procede a responder las preguntas de investigación planteadas, para hacerlas parte de= las conclusiones.

Resultados

 

En esta sección se respondieron todas las preguntas de investigación planteada= s.

 

RQ1: żCuáles Instituciones de Educación Superior tienen Trabajos de Graduación sobre Analíticas de Aprendizaje?

La Tabla 8, muestra las Instituciones de Educación Superior responsables de los Trabajos de Graduación sobre Analíticas de Aprendizaje<= o:p>

 

 

 

Tabla 8: IES con Trabajos de Graduación sobre Analí= ticas de Aprendizaje

IES=

Título

Autor(es)

Senescyt:

Universidad Politécni= ca de Cataluńa

Ontology For Modelling And Understanding Educational Data And Concepts-An Application To Learning Analytics For Secondary Project

Cueva Rueda, Rodrigo Alejandro; Sancho Sans?, Mar?a Ribera

Pontificia Universidad Católica del Ecuador- Sede Ambato

Estudio Comparativo D= el Análisis Estadístico Implicativo Y El Learning Analytics En R= elación Al Uso De Las Técnicas De Exploración De Datos Educativos

Naranjo Serrano, Maur= icio Medardo

Senescyt:

Universidad de Sevill= a/ Universidad Técnica Particular de Loja

Construcción de un mo= delo para determinar el rendimiento académico de los estudiantes basado en learning analytics (aná= lisis del Aprendizaje), mediante el uso de técnicas multivariantes

Pino Mejías, José Luis; Muńoz Pichardo, Juan Manuel; García = Tinisaray, Daysi Karina

 

RQ2: żCuáles Trabajos de Graduación sobre Analíticas de Aprendizaje son de pregrado o postgrado?

La Tabla 9, muestra los Tipos de Trabajos de Graduación ecuatorianos sobre Analíticas de Aprendizaje.

Tabla 9: Tipos de Trabajos de Graduación ecuatoria= nos

Tipo

Título

Autor(es)<= /span>

Master Thesis

Ontology For Modelling And Understanding Educational Data And Concepts-An Application To Learning Analytics For Secondary Project

Cueva Rueda, Rodrigo Alejandro; Sancho Sans?, Mar?a Ribera

Master Thesis

Estudio Comparativo D= el Análisis Estadístico Implicativo Y El Learning Analytics En R= elación Al Uso De Las Técnicas De Exploración De Datos Educativos

Naranjo Serrano, Maur= icio Medardo

Doctoral Thesis

Construcción de un mo= delo para determinar el rendimiento académico de los estudiantes basado en learning analytics (aná= lisis del Aprendizaje), mediante el uso de técnicas multivariantes

Pino Mejías, José Luis; Muńoz Pichardo, Juan Manuel; García = Tinisaray, Daysi Karina

 

RQ3: żCuáles son las principales palabras clave de los Trabajos de Graduación sobre Analíticas d= e Aprendizaje en Instituciones de Educación Superior Ecuatorianas?

La Tabla 10, muestra las palabras clave por cada uno de los Trabajos de Titulación, el último Trabajo no mues= tra ninguna palabra clave.

Tabla 10: Palabras clave en los Tipos de Trabajos de Graduación ecuatorianos

Título

Key= words

Autor(es)<= /span>

Ontology For Modelling And Understanding Educational Data And Concepts-An Application To Learning Analytics For Secondary Project

Investigación En Informática, Ontología, Paradigma, Owl, Obda, Semántica, Uml, <= span class=3DSpellE>Lms, Dominio, Linked Da= ta

Cueva Rueda, Rodrigo Alejandro; Sancho Sans?, Mar?a Ribera

Estudio Comparativo D= el Análisis Estadístico Implicativo Y El Learning Analytics En R= elación Al Uso De Las Técnicas De Exploración De Datos Educativos

Lea= rning Analytics, Análisis Estadístico Implicativo, Métodos Cluster, Minería De Reglas De Asociación

Naranjo Serrano, Maur= icio Medardo

Construcción De Un Mo= delo Para Determinar El Rendimiento Académico De Los Estudiantes Basado En Learning Analytics (Aná= lisis Del Aprendizaje), Mediante El Uso De Técnicas Multivariantes

 No existen pala= bras clave

Pino Mejías, José Luis; Muńoz Pichardo, Juan Manuel; García = Tinisaray, Daysi Karina

 

RQ4: żCuáles son los ańos de publicac= ión y tendencia de los Trabajos de graduación sobre Analíticas de Aprendizaje en Instituciones de Educación Superior Ecuatorianas?

La Tabla 11, muestra los ańos de publicación por cada uno de los Trabajos de Graduación.

 

 

 

Tabla 11: Ańos de publicación de los Trabajos de Graduación

Fecha de publicación<= o:p>

Título

Autor(es)<= /span>

2016

Ontology For Modelling And Understanding Educational Data And Concepts-An Application To Learning Analytics For Secondary Project

Cueva Rueda, Rodrigo Alejandro; Sancho Sans?, Mar?a Ribera

2016

Construcción De Un Mo= delo Para Determinar El Rendimiento Académico De Los Estudiantes Basado En Learning Analytics (Aná= lisis Del Aprendizaje), Mediante El Uso De Técnicas Multivariantes

Pino Mejías, José Luis; Muńoz Pichardo, Juan Manuel; García = Tinisaray, Daysi Karina

2018

Estudio Comparativo D= el Análisis Estadístico Implicativo Y El Learning Analytics En R= elación Al Uso De Las Técnicas De Exploración De Datos Educativos

Naranjo Serrano, Maur= icio Medardo

 

La Figura 8, muestra la línea de tendencia en los Trabajos de Graduación considerando los dos puntos de datos históricos.

 

y =3D

-

x + 3

R˛ =3D 1

0

5

,

0

1

5

,

1

2

,

2

5

Figura 8: Tendencia del número de Trabajos de Graduación

 

 

RQ5: żCuáles son los autores y coautores de los Trabajos de Graduación sobre Analíticas de Aprendizaje en Instituciones de Educación Superior Ecuatorianas?

La Tabla 12, muestra los autores y coautores por cada uno de los Trabajos de G= raduación.

Tabla 12: Ańos de publicación de los Trabajos de Graduación

Título

Autor(es)<= /span>

Coautor(es)

Ontology For Modelling And Understanding Educational Data And Concepts-An Application To Learning Analytics For Secondary Project

Jordi Casanovas Muńoz=

Mar= ia Ribera Sancho, Albert Obiols

Construcción De Un Mo= delo Para Determinar El Rendimiento Académico De Los Estudiantes Basado En Learning Analytics (Aná= lisis Del Aprendizaje), Mediante El Uso De Técnicas Multivariantes

Daysi Kar= ina García Tinisaray

José Luis Pino Mejías, Juan Manuel Muńoz Pichardo

Estudio Comparativo D= el Análisis Estadístico Implicativo Y El Learning Analytics En R= elación Al Uso De Las Técnicas De Exploración De Datos Educativos

Naranjo Serrano, Maur= icio Medardo

Pazmińo Maji, Rubén Antonio

 

A continuación, se muestran las conclusiones basadas en los resultados obtenidos.

Conclusiones

= •      Una de las Universidades es la Pontificia Universidad Católica del Ecuador con = Sede en la Ciudad de Ambato, otras dos tesis fueron realizadas por becarios ecuatorianos del Senescyt: Universidad de Sevil= la/ Universidad Técnica Particular de Loja y Universidad Politécnica de Cataluńa (Ver Tabla 8).

= •      No hay ningún trabajo de graduación de pregrado sobre Lea= rning Analytics. Hay tres trabajos de graduación de postgrado 2 de maestría y uno de Doctorado (Ver Tabla 9).=

= •      Las palabras clase se muestran a continuación: Ontología, Paradigma, Owl, Obda, Semántica, Uml, Lms, Dominio, Linked Data, Análisis Estadístico Implicativo, Métodos Cluster, Minería De Reglas De Asociació= n. No se muestran palabras clave más frecuentes comunes (Ver Tabla 10).

= •      El ańo de publicación más frecuente es el 2016 con dos Trabajos de Graduación,= el documento más reciente es del 2018 titulado: “estudio comparativo del análi= sis estadístico implicativo y el learning analytics en relación al uso de las técnicas de exploración de datos educativos” (Ver Tabla 11). La tendencia está dada por= la recta de regresión y=3Dx+3 (Ver figura 8).

      Los autores principales son las person= as que elaboraron los Trabajos de Graduación (Jordi Casanovas Muńoz, Daysi Kar= ina García Tinisaray, Naranjo Serrano Mauricio Meda= rdo), los coautores con los directores de los trabajos de titulación (Maria Ribera Sancho, Albert Obiols; José Luis Pino Me= jías, Juan Manuel Muńoz Pichardo, Pazmińo Maji, Rubén Antonio) (Ver Tabla 12).

 

Se recomienda continuar este estudio y extenderlo para profundizar los Trabajo= s de Graduación encontrados.

&n= bsp;

Referencias Bibliográficas

 

Casanovas Muńoz, J. (2016). Ontology for modelling and understanding educational data and conce= pts: An application to Learning Analytics for Secondary project. Politčcnica de Catalunya.

CES - Consejo de Educación Superior | Ecuador. (s. f.). Recuperado 29 de julio = de 2019, de http://www.ces.gob.ec/

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Dos Santos, H. L., Cechinel, C., Nunes, J. B. C., &= amp; Ochoa, X. (2017). An initial review of learn= ing analytics in Latin America. 2017 Tw= elfth Latin American Conference on Learning Technologies (LACLO), 1-9. IEEE.<= o:p>

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Estadísticas. (s. f.). Recuperado 1 de agosto de 2019, de http://www.rraae.org.ec/Statistics/Map

La sociedad del futuro: Las tecnologías ubicuas y su impacto en la sociedad.=

Freile, C. (= 2015). Hitos de la historia de la educació= n en el Ecuador. Recuper= ado el.

Hausner, E., & Waffenschmidt, S. (2016). Development of search strat= egies for systematic reviews: Reply to commentary by Dintsio= s and Niederstadt (Letter commenting on: J Clin Epidemiol. 2015; 68: 191-199). Jour= nal of clinical epidemiology, 69, = 265.

Jesson, J., Matheson, L., & Lacey, F. M. (2011). Doing your literature review. Los Angeles Calif.; London: SAGE.<= /p>

Johnson, L., Becker, S. A., Cummins, M., Estrada, = V., Freeman, A., & Hall, C. (2016).

NMC horizon report: 2016 higher education edition. The New Media Consortium.

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Estudio comparativo del análisis estadístico implicativo y el learning analytics = en relación al uso de las técnicas de exploración de datos educativos. Pontificia Universidad Católi= ca del Ecuador.

Ochoa, X. (201= 9). Learning analytics in Latin America present an opportunity not to be missed= . Nature human behaviour, 3(1), 6.

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Pazmińo-Maji, R. A., Valverde-Aguirre, P. E., García-Peńalvo,= F. J., & Conde-González, M. A. (2019). Caracterización de la investigación= de pregrado en la Escuela Superior Politécnica de Chimborazo: Un Mapeo Sistemá= tico con nuevas técnicas de las Analíticas de Aprendizaje. VII evento internacional La Universidad En El Siglo XXI.

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Siemens, G., &= amp; Long, P. (2011). Penetrating the fog: Analytics in learning and education. = EDUCAUSE review= , 46(5), 30.

Tinisaray, G., & Karina, D. (2016). Construcción de = un modelo para determinar el rendimiento académico de los estudiantes basado e= n learning analytics (análi= sis del aprendizaje), mediante el uso de técnicas multivariantes.

 

Para citar el artículo indexado.

 

Pazmińo Maji, R., Ló= pez Ortega, J., Conde González, M. & García Peńalvo, F. (2019). Las analí= ticas de aprendizaje en el Ecuador: Un análisis inicial basado en el mapeo sistemático de los trabajos de graduación. Explorador Digital, = 3(3.1), 224-245. https://doi.org/10.33262/exploradordigital.v3i3.= 1.885

 

 

 

 

 

El artículo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revista Explorad= or Digital.

El articulo qu= eda en propiedad de la revista y, por tanto, su publicación parcial y/o total en otro medio tiene que ser autorizado por el director o editor de la Revista Explorador Digital.<= /o:p>



[1] Escuela Superior Politécnica de Chimborazo, Facultad de Ciencias, Riobamba, Ecuador, rpazmino@espoch.edu.ec

[2]  Escuela Superior Politécnica de Chimbor= azo, Facultad de Recursos Naturales, Riobamba, Ecuador, jorge.lopezo@espoch.edu.= ec

[3]   Univer= sity of León, León, Spain, miguel.conde@unileon.es

[4]   Univer= sity of Salamanca, Salamanca, Spain, fgarcia@usal.es

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ISSN 2661-6831      

            Vol. 3 No. 3.1 pág. 224-245, Sep. 2019

Investigación & Creati= vidad                                                                                                                  =       Página 182

 

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