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espanolSe analiza, mediante un estudio longitudinal, la produccion cientifica en docentes universitarios de la Facultad de Ciencias de la Educacion, Humanas y Tecnologias de la Universidad Nacional de Chimborazo (UNACH), en Ecuador. Especial atencion se presta a la relacion entre la experiencia en la docencia (antiguedad) y al total de horas dedicadas a la investigacion. La recogida de datos se realizo entre junio del 2015 y junio del 2017. Se efectuaron analisis descriptivos y correlacionales entre las variables recogidas. Se llevaron a cabo analisis multivariados de varianza para examinar las relaciones bivariantes existentes entre las variables dependientes: experiencia en la docencia universitaria y el total de horas dedicadas a la investigacion y la variable independiente, produccion cientifica. Ademas, se exploro su capacidad predictiva sobre la produccion cientifica, a traves del analisis de regresion lineal multiple. Este trabajo constituye un primer acercamiento a trazar el perfil general del investigador idoneo y de los factores que lo afectan. Se constato que el personal academico con un mayor numero de publicaciones, tiene alrededor de 15 y 30 horas semanales asignadas para proyectos de investigacion y produccion cientifica. EnglishThrough a longitudinal study, the scientific production in university professors of the Faculty of Educational Sciences, Humanities and Technologies of the Universidad Nacional de Chimborazo (UNACH), in Ecuador is analyzed. Special attention is paid to the relation between the teaching experience (seniority) and the total hours dedicated to research. The data collection was carried out between June 2015 and June 2017. Descriptive and correlational analyzes were carried out among the chosen variables. Multivariate analysis of variance was carried out to examine the bivariate relationships between the dependent variables: experience in university teaching and total hours dedicated to research and the independent variable, scientific production. In addition, the predictive capacity of the model on scientific production was explored through multiple linear regression analysis. This work is a preliminary approach to trace the ideal researcher profile and the factors that affect it. It was found that academic staff with higher number of publications, has about 15 and 30 hours assigned to research projects and scientific production.

Influencia de la Antigüedad y del total de Horas de Investigación en la Producción Científica de Docentes Universitarios