Los Estilos de aprendizaje bajo un modelo de programación neurolingüística y rendimiento académico en estudiantes universitarios

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ivan soto
Arturo Zuñiga Blanco

Abstract

The research was made at the Universidad Nacional Agraria la Molina of Perú, with students who took General Statistic course in the 2019-1 semester. The purpose of the research was to identify the learning styles and to verify if there are significant differences in the academic performance existed according to predominant learning style, the work had a descriptive correlational scope, the Neurolinguistic Programming Model by Grinder and Bandler (1979) was taken as reference, where the instrument was the Learning Style Test PNL or VAK Model of 40 items, while to measure the academic performance the notes of the students were requested to the study unit. Verifying that generally the proportions of 40%, 30% and 30% are expected for the visual, auditory and kinesthetic perceptions respectively, it was also verified by means of the Kruskal-Wallis test, that the academic performance in the general statistics course does not differ according to the predominant learning style of the student (p.=0.498), we concluded affirming that discovering the predominant learning style allows us to know the type of student we have in the classroom, which gives us a diagnosis of the strengths and weaknesses of the students. In addition, teaching strategies can be incorporated in our class to match the teaching of specific tasks, which will be useful and beneficial to the students, consequently, it will improve the academic performance of the students.

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How to Cite
Soto, I., & Zuñiga Blanco, A. (2020). Los Estilos de aprendizaje bajo un modelo de programación neurolingüística y rendimiento académico en estudiantes universitarios. Espí­ritu Emprendedor TES, 4(3), 77–91. https://doi.org/10.33970/eetes.v4.n3.2020.217
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Articles
Author Biographies

ivan soto, Universidad Nacional Agraria La Molina, Lima, Perú

Professor at the national agrarian university la Molina. Director of the academic department of statistics and informatics, Postgraduate in Computer Science, postgraduate in development and strategic security. ITIL Certification, I have managed projects with the Ministry of Education of Peru, Pisa tests, Census Evaluation of students and teachers. Undergraduate and graduate professor.

Arturo Zuñiga Blanco, Universidad Nacional Agraria La Molina, Lima, Perú

Professor at La Molina Agrarian University, postgraduate in Statistics and scientific research, postgraduate in applied statistics at La Molina Agrarian University; with 6 years of university teaching.

I worked in education project, since 2014; 2 years in Pisa TEST

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