Statistics Training at the University Level: Challenges and Opportunities

Descripción del Articulo

The training on statistics is a phenomenon that has sparked great interest in recent years, which is evidenced by the increase in the number of research work at all educational levels. Technological development has brought with it important changes to society and has produced an immense amount of in...

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Detalles Bibliográficos
Autor: Ramos Vargas, Luis Fernando
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Peruana de ciencias Aplicadas
Repositorio:Revista UPC - La Revista Digital de Investigación en Docencia Universitaria (RIDU)
Lenguaje:español
OAI Identifier:oai:ojs.revistas.upc.edu.pe:article/1081
Enlace del recurso:https://revistas.upc.edu.pe/index.php/docencia/article/view/1081
Nivel de acceso:acceso abierto
Materia:didactics of statistics
higher education
statistical education
didáctica de la estadística
enseñanza superior
educación estadística
didática da estatística
ensino superior
educação estatística
Descripción
Sumario:The training on statistics is a phenomenon that has sparked great interest in recent years, which is evidenced by the increase in the number of research work at all educational levels. Technological development has brought with it important changes to society and has produced an immense amount of information that grows daily, which is why a different type of citizen and professional is needed; one who is able to understand and interpret the information that surrounds him or her. However, university students show unfavorable attitudes towards statistics, which can be seen in the unsatisfactory results in terms of learning and application. This is a bibliographic-documentary research that examines the elements that take part in the statistical teaching and learning processes at the university level. The exhibition is organized in four parts: the first presents the problems of statistical education in university classrooms; the second explains the cognitive levels involved; the third presents seven teaching models; and the last one examines the implications for the future of statistical education at the university level.
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