Following the introduction of new methodologies focused in the improvement of student´s outcomes. The PBL model (Problem-based learning) was applied to support the teaching and assessment on a topic of statistics in the curricular unit Computational Mathematics. The aim of the proposed approach was to enhance the student development, by improving practice in the field of education and connections between research and practice. Following these guidelines we propose a practical work using the MS Excel, as the computational support, to 394 students of the Curricular Unit of Computational Mathematics (MATCP) of the course of Informatics Engineering of the Institute of Engineering of Porto, to be done in groups under the theme "Simple Regression and Linear Correlation". In order to verify the receptivity of the students exposed to the proposed, a questionnaire was elaborated focusing on understanding and acquisition of the proposed contents method. Some conclusions were drawn.
Este trabajo ha consistido en estudiar la viabilidad de la implementación de un método de enseñanza que, en la asignatura de Matemática Computacional, involucra a los estudiantes y profesores a través del uso del software estadístico R para el desarrollo de un trabajo práctico como fortalecimiento de las clases tradicionales. La inferencia estadística, es decir, la determinación de los intervalos de confianza, fue el contenido seleccionado para esta experiencia. Se pretendía mostrar, en primer lugar, que es posible promover, a través de la metodología propuesta, la adquisición de las competencias básicas de inferencia estadística y promover las relaciones positivas entre maestros y estudiantes. También se presenta un estudio comparativo entre las metodologías utilizadas y sus resultados cuantitativos y cualitativos en dos años escolares consecutivos, involucrando varios indicadores. Los datos utilizados en el estudio fueron obtenidos a partir de 1) las respuestas de los estudiantes a las preguntas del examen en los años 2010/2011 y 2011/2012, 2) la realización de un grupo de trabajo en 2011/2012 y 3) a través de las respuestas a un cuestionario (opcional y anónimo) que también aplicó en 2011/2012. En términos de resultados, se destaca el mejor rendimiento de los estudiantes en las preguntas de examen en 2011/2012, que fue el curso en el que los estudiantes utilizaron el software R, y la perspectiva muy favorable de los estudiantes sobre el uso de software R.
The main objective of this study was to examine Portuguese and Brazilian coaches’ and researchers’ perceptions of the factors that influence the knowledge translation processes in sport. Data were collected via focus groups with 36 coaches and 25 researchers from both countries. Results of a reflexive thematic analysis were captured by the themes: knowledge creation, barriers, knowledge dissemination and knowledge implementation, and evaluation. In both contexts, there was a gap between researchers’ and coaches’ needs, which hindered the knowledge translation process. The lack of partnerships in place between these stakeholders also created difficulties in the process of knowledge translation. Moving forward, universities and polytechnic institutes should forge meaningful partnerships with coaches so they can implement evidence-based practices and use research as a tool for improving the quality of the coaching process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.