Chamilo en el aprendizaje de Computación en el área de E.P.T en la I.E. N° 2061 “San Martin de Porres”, UGEL 02
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2022-10-26
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Universidad Nacional de Educación Enrique Guzmán y Valle
Abstract
El objetivo de este trabajo de investigación fue este estudio arroja luz sobre el impacto de la plataforma Chamilo en aprendizaje computacional del campo en E.P.T. El método utilizado en la IE N° 2061 “San Martín de Porres” es cuantitativo, tipo de estudio experimental, diseño cuasi-experimental, la muestra
se determina por muestreo no probabilístico deliberado, es decir se requieren dos grupos de
trabajo y un grupo de control (30) y experimental (30). Para validación de instrumentos,
utilizando técnicas de juicio de expertos, los instrumentos fueron calificados en promedio
(80,00%). Para su confiabilidad, fue aplicado Kuder Richardson 20 PreTest (0.89) PostTest
GC (0.82). Demostrar alta confiabilidad. Para probar la hipótesis, previamente realizado
prueba de normalidad en datos por técnica estadística de Shapiro Wilk, la cual mostró
distribución común de información. Por ende, el estadístico más apropiado para probar una
hipótesis son dos muestras T-Student independiente. El nivel de significación de Sig
(bilateral) es menor 0,05 en muchos resultados de pruebas hipotéticas. Por tanto, se
rechazó la hipótesis nula, y concluyéndose de manera general que si existía evidencia
estadística para determinar el impacto de Chamilo en aprendizaje informático del ámbito
en E.P.T. Nº 2061 "San Martín de Porres" en IE.
The objective of this research work was this study sheds light on the impact of the Chamilo platform on computational learning of the field in E.P.T. The method used in IE No. 2061 "San Martín de Porres" is quantitative, type of experimental study, quasi-experimental design, the sample It is determined by deliberate non-probabilistic sampling, that is, two groups of samples are required. work and a control (30) and experimental (30) group. For instrument validation, using expert judgment techniques, the instruments were rated on average (80.00%). For its reliability, the Kuder Richardson 20 PreTest (0.89) PostTest was applied. GC (0.82). Demonstrate high reliability. To test the hypothesis, previously performed normality test in data by statistical technique of Shapiro Wilk, which showed common sharing of information. Thus, the most appropriate statistic for testing a hypotheses are two independent Student t-samples. The significance level of Sig (two-sided) is less than 0.05 in many hypothetical test results. Therefore, it rejected the null hypothesis, and concluding in a general way that if there was evidence statistics to determine the impact of Chamilo on computer learning in the field in E.P.T. Nº 2061 "San Martín de Porres" in IE.
The objective of this research work was this study sheds light on the impact of the Chamilo platform on computational learning of the field in E.P.T. The method used in IE No. 2061 "San Martín de Porres" is quantitative, type of experimental study, quasi-experimental design, the sample It is determined by deliberate non-probabilistic sampling, that is, two groups of samples are required. work and a control (30) and experimental (30) group. For instrument validation, using expert judgment techniques, the instruments were rated on average (80.00%). For its reliability, the Kuder Richardson 20 PreTest (0.89) PostTest was applied. GC (0.82). Demonstrate high reliability. To test the hypothesis, previously performed normality test in data by statistical technique of Shapiro Wilk, which showed common sharing of information. Thus, the most appropriate statistic for testing a hypotheses are two independent Student t-samples. The significance level of Sig (two-sided) is less than 0.05 in many hypothetical test results. Therefore, it rejected the null hypothesis, and concluding in a general way that if there was evidence statistics to determine the impact of Chamilo on computer learning in the field in E.P.T. Nº 2061 "San Martín de Porres" in IE.
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Citation
Chuqui Sulca, J. D. (2022). Chamilo en el aprendizaje de Computación en el área de E.P.T en la I.E. N° 2061 “San Martin de Porres”, UGEL 02 (Tesis de pregrado). Universidad Nacional de Educación Enrique Guzmán y Valle, Lima, Perú.