Examinando por Autor "Munar Quiroga, René Alejandro"
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Publicación Acceso abierto Integración de algunas TIC en el proceso de aprendizaje del área de inglés y determinación de su impacto en el rendimiento académico reflejado en los resultados obtenidos por los estudiantes de grado undécimo de la Institución Educativa Distrital Francisco de Paula Santander, Bogotá, Colombia, en la prueba tipo Icfes saber 11, 2015(Universidad Privada Norbert Wiener, 2018-03-20) Munar Quiroga, René Alejandro; Fabian Rojas, Lenin EnriqueThe aim of this study is to determine whether the technology integration in English learning process has an impact on the academic performance reflected on the standardized test score results – Icfes Saber 11, a test that is taken by senior students. This research was conducted at Institución Educativa Distrital Francisco de Paula Santander, a public school located in Bogotá, Colombia. It took place in 2015. The theoretical foundations were based on technology integration, specifically, on blended learning approaches, and on academic performance. The target population of the study were 20 students of both genders between 15 and 19 years old. They belong to low and lower middle class. Two surveys were administered to students and they also took a pretest and a posttest in order to achieve the formulated objective. After administering the pretest, weaknesses and strengths were identified, then a methodology based on integration technology was designed and implemented, finally, the posttest was applied. This study is academically relevant for one major reason, there was not any research about integration technology and standardized tests preparation for students in Colombia. Furthermore, this study has also society relevance as it was particularly focused on the results obtained by the students in contrast to the pretest ones. Through these results, it could be determined the impact on the academic performance. A national quantitative scale was used to classify the academic performance according to the right answers, considering the following categorization: poor, fair, good and excellent.
