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Recibido: 10-07-2019/ Revisado: 19-07-2019/Aceptado: 14-08-2019/ Publicado: 06-09-201= 9

DOI: https://doi.org/10.33262/exploradordigital.v3i3.1.870 =

 

Utilización de= los objetos de aprendizaje y su relación en el rendimiento académico de la asignatura de Física I<= span style=3D'font-size:18.0pt;font-family:"Times New Roman",serif'><= /span>

=  =

Use of learning objects and their relationship in the academic performance of the subject of Physics I=

&n= bsp;

Juan Manuel Martinez Nogales . [1], = Jorge Cachuput Gusñay. [2],<= /span> Jaime Rodrigo Guilcapi Mosquera . [3= ] & Luis Fernando Carrasco Pilco [4= ]

 

Abstract.         =                       

&nb= sp;

The use of learning objects and its relation in the academic performance of the signat= ure of Physics I in the students of the first semester of the Faculty of Engineering of Universidad Nacional de Chimborazo. The low performance reac= hed by students in Physics due to the exigent level of university training prod= uces difficulties in the conceptual domain, as well as methods for its study. Th= is work aims to determine the relation between using learning objects and the academic performance in the study of the Dynamics of the particle. The rese= arch is of correlational type and quasi- experimental design, the proposed methodology is based on an instructional design model that guides the pedagogics part which recommends the use of temples. Taking into account the main actors at taking the statistics test (z) for independent samples it is shown that the groups of students who used learning objects got a better academic performance than students didn’t do it. Evolution of the learning outcomes in each student is very evident. OA bettered the academic performa= nce in the students of Engineering who take the signature of Physics related to study of the Dynamics of the particle; OA improves the teaching-learning process and academic performance including every single student in collaborative and cooperative work.

 

Keywords: Dynamics of the particle, students in Physics, used learning objects, the

academic performance= .

 

Resumen.=

 

La utilización de los objetos de aprendiza= je y su relación en el rendimiento académico de la asignatura de física I, en los estudiantes de primer semestre de la facultad de ingeniería de la Universid= ad Nacional de Chimborazo. determinar la relación ent= re la utilización de los objetos de aprendizaje y el rendimiento académico en el estudio de la Dinámica de la part= ícula, el cual se realizó mediante una investigación de tipo correlacional y diseño Cuasi-experimental, la metodología propu= esta se basó en el modelo de Diseño Instruccional que guie en la parte pedagógic= a en la que se recomienda el uso de algunas plantillas. Tomando en cuenta a los actores principales, como se puede apreciar, al realizar la prueba estadíst= ica de (z) para muestras independientes, se puede ver que efectivamente el grup= o de estudiantes que utilizan los objetos de aprendizaje obtienen un rendimiento académico significativamente superior en comparación con los estudiantes qu= e no usaron los objetos de aprendizaje. En la que se nota claramente la evolució= n de los logros de aprendizaje en cada uno de los estudiantes. La incorporación de los OA mejoró el rendimiento académico en los estudiantes de ingeniería que cursan la asignatura de física I en el estudi= o de la dinámica de la partícula, los OA mejora= n el proceso de enseñanza- aprendizaje y elevan el rendimiento académico, involucrando a todos los estudiantes a un trabajo colaborativo y cooperativ= o.

 

Palabras claves: Objetos de aprendizaje, rendimiento académico, metodología, dinámica de la partícula

 <= /o:p>

Intro= ducción.

La educación es un fenómeno universal necesario para la continuidad cultural de la humanidad a través de la cual las generaciones antecedentes preparan a las siguientes, en un continuo de transferencia de informaciones, conocimientos y habilidades.

De esa manera, las demandas sociales en cierto momento histórico-soc= ial determinan los objetivos de la educación y estos se caracterizan en los contenidos y están estrechamente unidos a los métodos a utilizar en la enseñanza. Así, las Instituciones de Enseñanza y la sociedad son indivisibl= es " la sociedad vive y se desarrolla tal como aprende y aprende tal como quiere vivir" (Davidov, 1991, pág. 1= 18; Antueno, Eduardo A. , 2008) .

Los Objetos de aprendizaje permiten al estudian= te modificar algún parámetro y observar el efecto que produce en su rendimiento académico, mediante las simulaciones que proveen una representación interac= tiva de la realidad que permite al estudiante probar y descubrir cómo funciona y= se comporta un fenómeno, el uso de   e= ste tipo de herramientas motiva al estudiante para que pueda desarrollar y logr= ar una mejor comprensión.

Para evitar la falta de interés y la repetición= de conceptos de los estudiantes en la asignatura de Física I de manera particu= lar en el estudio de la Dinámica de la partícula , es necesario utilizar los Objetos de Aprendizaje apoyados con los simuladores In= teractive Physics y el EJS Java, con la finalidad de acla= rar conceptos y ayudar a resolver problemas  en los que se presentan una mayor dificultad, mejorando la calidad d= e la educación, contribuyendo al estudiante a que desarrollen mejor sus capacida= des habilidades y destrezas en especial su capacidad creativa.

Con el fin de que se cumplan con los objetivos de la Universidad y la Facultad = de Ingeniería beneficiaria de este proyecto, de manera especial el primer seme= stre de la carrera de Arquitectura donde aún no se han realizado estudios semeja= ntes en el área de Física.

Problema

 El problema de esta investigación es: ¿De qué manera incide la utilización d= e los objetos del aprendizaje en el rendimiento académico en el estudio de la Din= ámica de la partícula correspondiente a la asignatura de Física I, en los estudia= ntes del primer semestre de la Facultad de Ingeniería de la Universidad Nacional= de Chimborazo?

 

Objetivos del estudio

Específicame= nte, respecto a la ciencia Física, esta es una ciencia que necesita particularme= nte del razonamiento deductivo para su comprensión y acostumbradamente se ve co= mo una asignatura de asimilación difícil por parte de los estudiantes del área tecnológica. Lo que se desea comprobar es que gran parte de esta dificultad= no está en la complejidad de la ciencia en sí misma, sino en el hecho de que l= os estudiantes no desarrollaron apropiadamente la formación de los procedimien= tos lógicos del pensamiento, así como, la enseñanza de la Física no haberse desarrollado científicamente con métodos elaborados, capaces de formar tales procedimientos.

Los objetivos del presente trabajo son: a) <= /a>Utilizar los Objetos de Aprendizaje para mejorar el Rendimiento Académico en el estu= dio de la Dinámica de la partícula, de la asignatura de Física I; b) Construir los objetos de aprendizaje que permitan mejora el rendimiento académico; c) Incorporar los objetos de aprendizaje dentro del proceso educativo; d) Proponer una metodología para = su incorporación de los objetos de aprendizaje dentro del proceso de enseñanza aprendizaje.

Rendimiento académico

 

En la vida académica, habilidad y esfuerzo no son sinónimos; el esfuerzo no garantiza un éxito, y= la habilidad empieza a cobrar mayor importancia. Esto se debe a cierta capacid= ad cognitiva que le permite al alumno hacer una elaboración mental de las impl= icaciones causales que tiene el manejo de las autopercepciones de habilidad y esfuerz= o. Dichas autopercepciones, si bien son complementarias, no presentan el mismo peso para el estudiante; de acuerdo con el modelo, percibirse como hábil (capaz) es el elemento central. De acuerdo con lo anterior se derivan tres tipos de estudiantes según (Covington, The moti= ve for self-worth., 1984) .<= o:p>

a)      =   “Los orient= ados al dominio. Sujetos que tienen éxito escolar, se consideran capaces, presen= tan alta motivación de logro y muestran confianza en sí mismos.

b)      =   Los que ace= ptan el fracaso. Sujetos derrotistas que presentan una imagen propia deteriorada= y manifiestan un sentimiento de desesperanza aprendido, es decir que han aprendido que el control sobre el ambiente es sumamente difícil o imposible= , y por lo tanto renuncian al esfuerzo.

c)      =   Los que evi= tan el fracaso. Aquellos estudiantes que carecen de un firme sentido de aptitud y autoestima y ponen poco esfuerzo en su desempeño; para “proteger” su imagen ante un posible fracaso, recurren a estrategias como la participación mínim= a en el salón de clases, retraso en la realización de una tarea, trampas en los exámenes, etc. “

Cuando se invierte mucho esfuerzo no se ve el verdadero nivel de habilidad, de tal forma que esto no amenaza la estima o valor como estudiante, y en tal caso, el sentimiento de orgullo y la satisfacción son grandes. (Tejedor F. y., 2007)

 

Lo anterior significa q= ue, en una situación de éxito, las autopercepciones de habilidad y esfuerzo no perjudican ni dañan la estima ni el valor que el profesor otorga. Sin embar= go, cuando la situación es de fracaso, las cosas cambian.

 

Dado que una situación = de fracaso pone en duda su capacidad, es decir, su autovaloración, algunos estudiantes evitan este riesgo, y para ello emplean ciertas estrategias com= o la excusa y manipulación del esfuerzo, con el propósito de desviar la implicac= ión de inhabilidad (Covington & Omelich, Journal Personality and S= ocial Psychology, 1979)

El empleo desmedido de estas estrategias trae como consecuencia un deterioro en el aprendizaje, se está propenso a fracasar y se terminará haciéndolo tarde o temprano (Coving= ton, 1984), lo que en forma análoga nos recuerda el `efecto Pigmalión´ en el pro= ceso educativo, es decir, una profecía de fracaso escolar que es auto-cumplida.

 

Resulta evidente, que el abordaje del rendimiento académico no podría agotarse a través del estudio = de las percepciones de los estudiantes sobre las variables habilidad y esfuerz= o, así como tampoco podría ser reducida a la simple comprensión entre actitud y aptitud del estudiante.

 

El rendimiento académic= o de los estudiantes universitarios constituye un factor importante y fundamental para la evaluación de la calidad educativa. Es la suma de los diferentes y complejos factores que intervienen en el estudiante, y ha sido definido con= un valor levantado al logro de estudiante en el cumplimiento de las tareas aca= démicas, se mide mediante las calificaciones alcanzadas, con una valoración cuantitativa, cuyos resultados indican las asignaturas aprobadas o reprobad= as, la deserción y el grado de éxito académico Pérez, Ramón, Sánchez (2000).

 

Cada universidad establ= ece sus propios criterios evaluativos para obtener una ponderación de las asignaturas que cursa cada estudiante, donde se toma en cuenta número de asignaturas, número de créditos y el valor obtenido en cada una de ellas qu= e se conoce como record académico. Se toma las calificaciones como la medida de enseñanza teniendo en cuenta que son produ= cto de los condicionantes como de tipo personal del estudiante, como didácticas= del docente. (Tejedor f. y., 2007)=

 

La función del docente = es enlazar procesos de construcción del estudiante, que se ha convertido en una preocupación del docente porque los estudiantes conozcan hechos científicos, pensando que los estudiantes aprenden por repetición las mismas que van a depender siempre del docente. (Ruiz, 2005).

 

Metodologia.=

Tipo de investigación

La presente es una investigación explicativa y correlacional, pues busca determinar las causas y los factores del rendimiento académico, al utilizar= los objetos de aprendizaje, así como el nivel de correlación entre las dos variables de estudio. (Urquizo, 2005).

Diseño de la investigación=

El diseño de la investigación registrada en el documento presente es cuasi experimental (Urquizo, 2005)

Métodos de investigación

Se aplicarán los siguientes métodos: Científico e hipotético deductivo en todo= el estudio por la epistemología de las ciencias experimentales; inductivo deductivo en= la elaboración del marco teórico de la tesis; analítico sintético tanto en la tabulación de datos cuanto en la aplicación metodológica y estadístico en la reducción positivista de las variables de la investigación; otros métodos s= on los aplicados a la generalidad del estudio; como es el ecléctico y metodológicamente el piramidal.

Técnicas e instrumentos para la recolección de datos

Las técnicas e instrumentos de acopio de datos se validan pues miden lo que deben medir sin provocar sesgos de apreciación; i= ncluyen la observación no estructurada; las encuestas de registro de aprendizajes, = las pruebas estructuradas individuales; las matrices de registro de indicadores piramidales; los trabajos grupales, trabajos individuales, exámenes oficial= es y lecciones.

 

Entre las técnicas aplicadas a esta investigación con fines de acopio de datos que permitan una interpretación confiable de la aplicación de los objetos de aprendizaje son las siguientes: observación no estructurada y cuestionarios objetivos con preguntas cerradas de corte positivista cuantitativo. El cuad= ro siguiente describe técnicas e instrumentos utilizados para el efecto.

<= span style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Tabla No 1Técnicas e instrumentos de recolección de información

 

TECNICAS

INSTRUMENTOS=

Encuesta

Cuestionario <= /span>

Test

Prueba Objetiva

Observación

Fichas o guías de observación

Población y muestra

 

Se trabajó con dos grupos de estudiantes del primer semestre de la Facultad de Ingeniería de la Carrera de arquitectura 36 estudiantes del paralelo “B” grupo de experimentación y 32 estudiantes del paralelo “A” gru= po de control.

Con el primer semestre paralelo “A” se trató el tema Dinámica de la partícula c= on métodos tradicionales y el primer semestre paralelo “B” con objetos de aprendizaje, done lo estudiantes interactuaron en un EVA, en lo que les permitió interactuar y afianzar conocimientos, realizando un trabajo autóno= mo y cooperativo y colaborativo. El Tipo de muestreo utilizado para este trabajo= de investigación será el MUESTREO ESTRATIFICADO

Tabla No 2 POBLACIÓN Y MUESTRA

 

Par= alelos

Pob= lación

Mar= gen de error (%)

Niv= el de confianza (%)

Mue= stra

A

37<= o:p>

10<= o:p>

90<= o:p>

32<= o:p>

B

42<= o:p>

10<= o:p>

90<= o:p>

36<= o:p>

Tot= al

79<= o:p>

&nb= sp;

&nb= sp;

68<= o:p>

 

 

n=3D tamaño de la mues= tra que queremos calcular

Z=3D es la desviación = del valor medio que se acepta para lograr el nivel de confianza, que tiene la distribución de Gauss

Nivel de confianza 90% ͢˃Z=3D 1,645

ep=3D proporción que se espera encontrar, se recomienda el 50%

 

La muestra considerada para este análisis será de 68 estudiantes, tomando en cuenta que el grupo experimental corresponde al 53% que equivale a 36 estudiantes y el grupo de control tomando el 47% que corresponde a 32 estudiantes.

Simulaciones

 

Es una técnica que se utiliza para analizar y estudiar sistemas complejos, permite reunir información pertinente sobre el comportamiento del sistema, porque ejecuta un modelo computarizado, sustentando que la simulac= ión no es una técnica de optimización, más bien es una técnica que= se utiliza para estimar las medidas de desempeño del sistema modelado, en este trabajo de investigación se ha utilizado simuladores de física como: Interactive Physics y EJS= Java

 Inter= active Physics

Es un programa que se utiliza para realizar simulaciones de movimientos físicos, principalmente de la Mecánica en especial dentro de lo que comprende a la D= inámica de la partícula, se puede calcular cantidades como la velocidad, desplazamiento, aceleración, tiempo, etc. Se puede controlar y modificar características físicas de un objeto como la gravedad, vectores, fuerza, et= c.

Es un software fácil de utilizar y presenta un atractivo visual. Se utiliza para analizar virtualmente como se desplazan los cuerpos en una superficie incli= nada sujetas a cuerdas que transmiten movimiento utilizando poleas, ejemplo.

En un sistema de cuerpos conectados, el coeficiente de fricción cinética es 0,20 = bajo los cuerpos B y C. Determine la aceleración de cada cuerpo y la tensión en = la cuerda que sostiene al cuerpo A.

Gráfico No 1. Simulación de cuerpos conectados

 

=  

Easy = Java Simulation (EJS)

Es un software libre y de código abierto, utiliza Java, multilenguaje, no requiere conocimientos avanzados de programación, lo pueden utilizar docentes y estudiantes, que saben programar bien y crear simulaciones “desde cero”, permite también modificar ligeramente otras simulaciones.

¿Por = qué utilizar EJS?

Por s= er un buen software educativo y es:

Adopt= able

Resue= lve numéricamente o analíticamente

Simula bien un proceso

Model= iza las características que se necesita

Se pu= ede modificar el modelo

=  

 Adaptable

Se pu= ede modificar el modelo

Se pu= ede visualizar cosas nuevas

Se pu= ede aumentar y restringir la capacidad de interacción del estudiante=

=  

Una b= uena parte de la investigación en física experimental y teórica no puede hacerse= sin ayuda de ordenadores.

Gráfico No 2. Simulación de cuerpos conectados

 

Evaluación del aprendi= zaje. Test, cuestionarios

Cuad= ro No Matriz de evaluac= ión

 

EVALUACIÓN=

No.=

No. De preguntas=

Tipo

1

10<= /p>

Falso/Verdadero<= /o:p>

2

10<= /p>

Opción Múltiple<= /o:p>

 

FASE 3. Nesarrollo

=  

Con la ayuda de las TIC’s, se arma la estructura gener= al del OA, propuesto en la fase del Diseño

=  

PASO 5. Armado

=  

La estructura general, de lo realizado en la fase anterior es necesario integr= arlo en un archivo HTML. Con la siguiente matriz,

Nombr= e de la institución

Logo = de la institución

=  

Fase 4. Implantación

=  

Rendimiento Académico<= /span>=

Es la medida de las capacidades del estudiante, en lo que se expresa lo que, aprendido a lo largo del proceso formativo, también se conoce como la capac= idad del estudiante para responder a los estímulos educativos.

=  

Resum= iendo, el rendimiento académico es un indicador del nivel de aprendizaje alcanzado= por el estudiante, por ello, el sistema educativo brinda tanta importancia a di= cho indicador. En tal sentido, el rendimiento académico se convierte en una "tabla imaginaria de medida" para el aprendizaje logrado en el au= la, que constituye el objetivo central de la educación

¿Qué paso cuando utilizaron los Objetos de Aprendizaje?

Despu= és que los estudiantes utilizaron los Objetos de aprendizaje se notó una mejor= ía en el nivel de aprendizaje, porque los estudiantes investigaban y preguntab= an, superaron el temor de participar y pasar al frente a la pizarra.=

=  

Reali= zaron aplicaciones relacionados con hechos y situaciones prácticas de la carrera,= se notó el cambio de actitud y gran motivación para trabajar en equipo, desarrollando sus propias aplicaciones relacionadas con la carrera, construyendo sus propios modelos y simulaciones.

Resultados= .

Análisis e interpretaci= ón de resultados

Se presenta a continuac= ión la matriz de resultados de la aplicación “Los Objetos de Aprendizaje (OA)y = su relación en el Rendimiento Académico de la asignatura de Física I” en el gr= upo cuasi-experimental. Tomando en cuenta los siguientes parámetros:

CD =3D Componente de docencia;        PAE=3D Prácticas de Aplicación y Experimentación;

AAA=3D Actividades de aprendizaje autónom= o

Análi= sis e interpretación de resultados=

Tabla No  Matriz de rendimiento académico

 

 

CD/4

PAE/3

AAA/3

NOTA/10

1P-CON OA<= /span>

1,24

2,03

2,2=

5,42

2P-CON OA<= /span>

2,86

2,19

2,14

7,18

 

Cálculo de la media con= OA

N=3D36

Primer Parcial

N1=3D rendimiento acadé= mico del 1P

 

=


Segundo Parcial

N2=3D rendimiento acadé= mico del 1P

         =                                (1)

 

Matriz de registro de resultados de aprendizaje sin utilizar los Objetos de Aprendizaje.

 <= /o:p>

Tabla No 4 Matriz de rendimiento académico SOA

 

CD/4

PAE/3

AAA/3

NOTA/10

1P-SIN OA<= /span>

1,18

1,86

2,17

5,2=

2P-SIN OA<= /span>

2,57

1,84

1,92

6,33

Cálculo de la media sin OA

 

N=3D32

Primer Parcial

N1=3D rendimiento académico =3D Nota final= 1P

         =                                            (2)


Segundo Parcial

N2=3D rendimiento académico =3D Nota final= del 2P

 

         =                                (3)

 

Tabla No comparación = del acta final COA Y SOA

 

 

N1/10

N2/10

NF/10

CON OA

5,42

9

7,21

SIN OA

5,2=

6,3=

5,8=

 

 

 

Análisis estadístico descriptivo longitudinal con OA

 

Tabl= a No Comparación = de las notas 1p-2p

 

P1

P2

P1<= /p>

P2<= /p>

MIN

3,6=

0,0=

MEDIA

5,2=

6,33

Q1

4,6=

6

MEDIANA

5,2=

7,00

MEDIANA

5,2=

7

MODA

5,0=

7,00

Q3

5,7=

7,7=

DES ES

0,8=

2,25

MAX

7

8,5=

 

 

Fig. 1 Comparación de Actas Parciales con OA

Fuente: Elaboración propia

 

<= span style=3D'font-size:12.0pt;mso-bidi-font-weight:bold'>a)      =             Interpre= tación. - Empleando los OA l= os estudiantes en el primer parcial alcanzan un rendimiento académico con un v= alor máximo atípico, en cambio en el segundo parcial alcanza 2 valores atípicos = con respecto al mínimo y uno con respecto al máximo notándose una mejoría más centrada en el rendimiento académico muy satisfactorio.

 

 

 

 

 

Comparación de componentes N1-N2 del P1 y P2<= /o:p>

 

Tabla No  SEQ Tabla_No \* ARABIC 7 Comparación = de actas de  P1-P2 sin OA

 

P1

P2

P1<= /p>

P2<= /p>

MIN

3,6=

0,0=

MEDIA

5,20

6,33

Q1

4,6=

6

MEDIANA

5,20

7,00

MEDIANA

5,2=

7

MODA

5,00

7,00

Q3

5,725

7,7=

DES ES

0,84

2,25

MAX

7

8,50

 

 

Fig. 1. Comparación = de Actas Parciales sin OA <= /o:p>

Fuente: Elaboración propia

 =

a)&n= bsp;            = ;     Interpretación= . – Del gráfico se puede deducir que la nota final del primer parcial= su rendimiento académico es más consolidado pero menor, mientras en el segundo parcial mue= stra un rendimiento académico disperso, pero más alto.

Análisis estadístico transversal=

<= o:p> 

<= o:p> 

Comparación de Componentes de la nota Final 1P con= OA – SOA

 

Tabla No Comparación = de N10A-N1SOA

 

N1F

N1-COA

N1-SOA

N1F

N1-COA

N1-SOA

MIN

3,3=

3,6=

MEDIA

5,42

5,21

Q1

4,8775

4,6=

MEDIANA

5,33

5,2=

MEDIANA

5,33

5,2=

MODA

5,50

5

Q3

5,8575

5,73

DES ES

0,89

0,84

MAX

7,31

7

=  

 

Fig. 3. = 2 Gráfico de Comparación Actas Primer Parcial

Fuente: Elaboración propia

 

a)&n= bsp;            = ;     Interpretación= . -Del gráfico No. 15 la= N1 del primer parcial con OA es más consolidado el rendimiento académico. En cambio, sin OA el rendimiento Académico es más disperso.<= /p>

 

 

 

Comparación de Componentes de Actas Finales COA – SOA

 

Tabla No  SEQ Tabla_No \* ARABIC 9 Comparación = de notas del acta final

 

NF

NF-COA

NF-SOA

NF

NF-COA

NF-SOA

MIN

6

2

MEDIA

7,21

5,77

Q1

6,93875

5,48375

MEDIANA

7,17

6,20

MEDIANA

7,165

6,2=

MODA

7,25

6,55

Q3

7,165

6,2=

DES ES

0,45

1,26

MAX

8

7

 <= /o:p>

 

Fig. 4. Comparación de nota final COA y SOA

Fuente: Elaboración propia

 =

 

= a)      =             Interpretación= . – Del gráfico No.20 se puede apreciar que el rendimiento académico con OA es = más conciso, mientras que el rendimiento académico sin OA es muy disperso.=

 <= /o:p>

 

 <= /o:p>

Conclusiones.

<= span lang=3DES-EC style=3D'font-size:12.0pt;font-family:Symbol;mso-fareast-font-= family: Symbol;mso-bidi-font-family:Symbol;mso-ansi-language:ES-EC'>·&nb= sp;        La experiencia realizada demuestra que es posible elevar el nivel de rendimiento académico en la asignatura de Física I, lo r= esultados obtenidos de nuestra experiencia demuestra la posibilidad, cuando forma par= te de los objetivos y están dirigidos con un propósito.

<= span lang=3DES-EC style=3D'font-size:12.0pt;font-family:Symbol;mso-fareast-font-= family: Symbol;mso-bidi-font-family:Symbol;mso-ansi-language:ES-EC'>·&nb= sp;        Se construyó OA para facilitar el proceso de enseñ= anza y aprendizaje de la signatura de Física I en el estudio de la Dinámica de la partícula, motivando de esta forma a docentes que incursionen en esta nueva temática educativa.

<= span lang=3DES-EC style=3D'font-size:12.0pt;font-family:Symbol;mso-fareast-font-= family: Symbol;mso-bidi-font-family:Symbol;mso-ansi-language:ES-EC'>·&nb= sp;        Se incorporó los OA en la enseñanza de la Física I= para motivar al estudiante a la forma de trabajar de modo independiente y colect= ivo mediante el intercambio de experiencias entre compañeros con actividades específicas.

<= span lang=3DES-EC style=3D'font-size:12.0pt;font-family:Symbol;mso-fareast-font-= family: Symbol;mso-bidi-font-family:Symbol;mso-ansi-language:ES-EC'>·&nb= sp;        Los OA permitirán potencializar la educación, ya q= ue ofrecen la posibilidad de tener contenidos educativos reutilizables, independientes de la plataforma de uso.

<= span lang=3DES-EC style=3D'font-size:12.0pt;font-family:Symbol;mso-fareast-font-= family: Symbol;mso-bidi-font-family:Symbol;mso-ansi-language:ES-EC'>·&nb= sp;        Los OA facilitará al docente elaborar sílabos más flexibles que se adapten a las necesidades específicas de cómo perfeccionar= el rendimiento académico en el estudiante.

 

=  

Referencias bibliográficas.<= /p>

= Aldana, S., Vereda, F., Hidalgo-Alvarez, R., & de Vicente, J. (2016). Facile synthesis of magnetic agarose microfibers by directed selfassembly. Polymer, 93, 61-64.

= Allport, G. (16 de 05 de 2016). Psicología online. Obtenido de http://www.psicologia-online.com/ebooks/personalidad/allport.htm: http://www.psicologia-online.com/ebooks/personalidad/allport.htm

= Antueno, Eduardo A. . (2008). Simulaciones para la enseñanza de fís= ica en la universidad. Buenos Aires, Argentina.

= Callejas, M. H. (2011). Objetos de aprendizaje , u estado del arte. Mexico: Redalyc.

= Castiblanco, O. y. (2008). El uso de las TIC's en la enseñanza de la Física. Académico, 7.

= Covington, M., & Omelich, = C. (1979). ¿Are causal attribution causal?: A path analysis of cognitive mo= del achievement motivation. Journal of Persanality and Social Psychology,37, págs. 1487-1504.

= Covington, M., & Omelich, = C. (1979). A path analysis of the cognitive model of archievement motivatio= n. Journal of Personality and Social Psychology, 37, 1487-1504.

= Davidov, V. e. (1991). La enseñanza que Desarrolla en la escuela del Desarrollo; en La educación y la enseñanza: una mirada al futuro. Moscu: Progresso.

= Diaz, F. (2002). estrategias docentes para un aprendizaje significativo. Mexico: Mc Graw Hill.

= Fernández, Y. (2011). Variables académicas que influyen en el Rendimiento Académico de los Estudiantes Universitarios. Ivestigacion Educativa Vol15 No 27 165-179 Enero-Junio 2011 ISSN1728-5852, 15.

= Ferreyra, H. (24 de julio de 2015). Wikipedia. Obtenido de https://es.wikipedia.org/wiki/Aprendizaje_significativo

= Garbanzo Vargas, G. (1997). "Factores asociados al rendimiento académico en los estudios universitarios, una reflexión desde la calidda= de la educación superior". Costa Rica: Universidad de Costa Rica.=

= Garbanzo, G. (2007). factores ascociados al Rendimiento Aacdémico en estudiantes Universitarios. Revista Educación , 43-63.=

= García-Cerda, L., Rodríguez-Fernández, O., Betancourt-Galindo, R., Saldívar-Guerrero, R., & Torres-Torres, M. (2003). Síntesis y propiedades de ferrofluidos de magnetita. Superficies y Vacío., 16(1), 28-31.

= Hodgins, W. (1992). Los objetos de aprendizaje digitales. Obtenido = de http://www.e-historia.cl/e-historia/los-objetos-digitales-de-aprendizaje= -odas-2/

= http://constructivismo.webnode.es/rss/. (11 de abril de 2016). Obte= nido de http://constructivismo.webnode.es/rss/: www.constructivismo.webmode.e= s

= https://profesiondocente.wikispaces.com/Modelo+de+evaluaci%C3%B3n+d= e+Guskey. (6 de 05 de 2016). Obtenido de https://profesiondocente.wikispaces.com/M= odelo+de+evaluaci%C3%B3n+de+Guskey: https://profesiondocente.wikispaces.com/Modelo+de+evaluaci%C3%B3n+de+Gus= key

= Loza, C., Guffante, T., Murillo, M., Tenesaca, R., Montalvo, C., Ga= rcia , C., . . . López, E. (2014). Modelo educativo. Universidad Nacional de Chimborazo, Unidad de Planificación Académica, Riobamba.

= Monografías. (26 de 06 de 2016). http://www.monografias.com/trabajos58/principales-tipos-investigacion/pr= incipales-tipos-investigacion.shtml. Obtenido de http://www.monografias.com/trabajos10/inin/inin.shtml

= Moreno Escobar, J. (2005). Metodología para la creación de Objetos = de aprendizaje de apoyo a la Educación. Escuela Superior de Ingeniería Mecá= nica y Eléctrica. Mexico: Instituto Politécnico Nacional.

= Orozco, Y. R. (2015). La enseñanza de la Física mediante Objetos de Aprendizaje. Revista de Ciencias Pedagógicas, 10.

= Pelaez, C., & Wilmer, J. (2001). Análisis multivariante para me= dir el rendimiento académico de los estudiates de una carrera universitaria. Guayaquil: dspace.espol.edu.ec.

= Ramos Ortega, O. (2015). Elaboración y aplicación de una guía metodológica Interactive Physics. En el Rensdimiento Académico de Cinemá= tica de los estudiantes de primer Año de bachillerato del Colegio Teécnico Nacional "Miguel Angel León Pontón" periodo primer tremestre. Riobamba: SN.

= Ramos, O. (2015). Elaboración y aplicación de una guía metodológica= de interactive physics. Riobamba: S/N.

= Ruiz Estrada, G. (2004). Desarrollo de un Sistema de liberación de fármacos basado en nanopartículas magnéticas recubiertas con Polietiléng= licol para el tratamiento de diferentes enfermedades. Madrid: Universidad Autó= noma de Madrid. Departamento de Física Aplicada.

= Ruiz, J. (2005). Alternativa metodológica para la formación integra= l de los estudiantes desde el proceso de enseñanza- aprendizaje de la Física. Camaguey: Centro de estudios de Ciencias de la Educación "Enrique J= osé Varona".

= Santillana. (2009). ¿Cómo hcer el aprendizaje significatico? Ecuado= r: Mariscal.

= Senescyt. (2013). Micro currículo de la Física para Ciencias e Inge= niería-Senescyt 2013. Quito.

= Squires, D., & McDougall, A. (1997). Como elegir y utilizar software educativo. Madrid: Ediciones Morata.

= Tejedor, f. y. (2007). Causas del bajo REendimiento del estudiante universitario. Revista de Educación, 443-473.

= Thomas, G. (6 de 05 de 2016). https://profesiondocente.wikispaces.com/Modelo+de+evaluaci%C3%B3n+de+Gus= key. Obtenido de https://profesiondocente.wikispaces.com/Modelo+de+evaluaci%C3%B3n+de+Gus= key: https://profesiondocente.wikispaces.com/Modelo+de+evaluaci%C3%B3n+de+Gus= key

= Turoff, M. (1995). http://www.njit.edu/njiT/Department/CCCC/VC/Papers/Design.html. Design Virtual Clasroom. Obtenido de http://www.njit.edu/njiT/Department/CCCC/VC/Papers/Design.html: http://www.njit.edu/njiT/Department/CCCC/VC/Papers/Design.html

= Unidad de planificación académica. (2014). Modelo Educativo, Pedagó= gico y Didáctico. Riobamba: UNACH.

= Urquizo, A. (2005). Como realizar la tesis o una investigación. Riobamba, Ecuador: Gráficas Riobamba.

= Wiley, D. (2000). Connecting learning objetcs to instructional design theory: A definition a metaphor, and taxonomy. Obtenido de Connecting learning obj= etcs to instructional design theory: A definition a metaphor, and taxonomy: http://reausability.org/read/chapters/wiley.doc.

&nbs= p;

 =

 

 

 

 

 

 

 

 

 

 

 

 

Para citar el artículo indexado.

 

 

M= artinez Nogales, J., Cachuput Gusñ= ay, J., Guilcapi Mosquera, J., & Carrasco Pilco= , L. (2019). Utilización de los objetos de aprendizaje y su relación en el rendimiento académico de la asignatura de Física I. Explorador Digital, 3(3.1), 105-122. = https://doi.org/10.33262/exploradordigital.v3i3.1.870

 


 

 

 

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

 

El articulo queda en propiedad de la revista y, por tanto, su publicación parc= ial y/o total en otro medio tiene que ser autorizado por el director o editor d= e la Revista Explorador Digital.

 

 

 

 

 

 <= /o:p>



[1] Escue= la Superior Politécnica de Chimborazo, Facultad de Recursos Naturales. Riobamb= a, Ecuador, jumartinez@espoch.edu.ec

[2] Escuela Superior Politécnica de Chimborazo, Facul= tad de Recursos Naturales. Riobamba, Ecuador. jcachuput@espoch.edu.ec

[3]Universidad Técnica de Ambato= , Ingeniería en Telecomunicaciones, Ambato, Ecuador, jr.guilcapi@uta.edu.ec

[4] Colegio Internacional Rudolf Steiner. Quito, Ecuador. ferchoone2003@= yahoo.com

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Investigación & Creati= vidad                                                                                                                  =       Página 93

 

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