This paper presents the results of an efficiency study of Colombian public universities in 2012, conducted using the methodology of Data Envelopment Analysis (DEA) and the models CCR, BCC and SBM under output orientation. The main objective is to determine technical, pure technical, scale and mix efficiencies using data acquired from the Ministry of National Education. An analysis of the results shows the extent to which outputs of inefficient Higher Education Institutions (HEIs) could be improved and the possible cause of this inefficiency. The universities were also ranked using a Pareto efficient cross-efficiency model and a study was made of changes to overall productivity between 2011 and 2012. The results showed Tolima, Caldas and UNAD to be the best-performing universities, with Universidad del Pacífico as the worst performer.Malmquist index was applied to analyze the change in productivity from
This paper shows the results of a research of the application of data envelopment analysis (DEA) together with artificial neural networks (ANN) of higher education institutions in Colombia during the years 2011-2013, for the purpose of evaluating the technical efficiency of Colombian higher education institutions and subsequently carry out predictions, based on a group of management indicators. Information provided by the Ministry of National Education was used as data source. The results show that this two-stage approach provides the DEA with the predictive potential that it otherwise lacks, enhancing its evaluative qualities; this is also evident in the various research papers consulted. The results also show that 50% of the models built have correct classification rates of 64.58% and 58.33% for training and validation datasets, respectively.
Este trabajo presenta un estudio realizado a los estudiantes de la facultad de Ingenierías en una universidad, en donde se identifican las estrategias de aprendizaje que ellos emplean, su relación con las variables: rendimiento académico, género, estrato social, tipo de colegio y el tipo de ingeniería que estudian. En este estudio se emplean diversas herramientas estadísticas para el análisis de la información obtenida por medio de una encuesta, tales como análisis descriptivo, regresión logística y árboles de decisión, los resultados obtenidos en cada uno de los análisis estadísticos se contrastaron entre ellos, además se presentan unas propuestas resultantes del análisis de los datos.En la regresión logística, se evaluó la relación que existía entre el rendimiento académico de los estudiantes y las demás variables de estudio con un 61,3 % de predicción de casos correcta, en los resultados obtenidos con el árbol de decisión se observa una coherencia con lo mostrado por la regresión logística.
R e s u m e nEn este artículo de investigación se evalúa el desempeño de los docentes universitarios utilizando la técnica no paramétrica Análisis Envolvente de Datos (DEA) para lo cual se tomó una muestra de 405 unidades profesor-asignatura de la facultad de Ingeniería en una universidad en los diferentes niveles de formación del estudiante: ciencias básicas, ciencias básicas de ingeniería, ingeniería aplicada, formación complementaria y formación en investigación. Los datos para la realización del estudio han sido suministrados por la Vicerrectoría de Docencia, correspondiente al periodo académico 2013-2, utilizando el promedio de la calificación otorgada por los estudiantes de cada uno de los veintiséis (26) componentes de la evaluación docente. Once (11) de las unidades profesor-asignatura evaluadas resultaron ser eficientes, lo cual representa el 2,72 %. PalabRas c l av eEvaluación docente, análisis envolvente de datos, educación, eficiencia Evaluation of the teacher performance using data envelopment analysis: a case study a b s t R a c tIn this research paper is evaluated the performance of university teachers using the non-parametric technique of Data Envelopment Analysis (DEA) for which it is took a sample of 405 units teacher-course of faculty of engineering at a university in the different levels student training: basic sciences, basic sciences of engineering, applied engineering, additional training and research training. Data for the study were supplied by the Vicerectory of teaching for the academic period 2013-2, using the average of the ratings assigned by the students of each of the twenty-six (26) components of teacher evaluation. Eleven (11) units teacher-course evaluated proved efficient which represents 2.72%.
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