Competency Based Education and Technology in Teaching Statistics

Business Education & Accreditation, v. 7 (1) pp. 77-86, 2015

10 Pages Posted: 8 Feb 2016

See all articles by Juan Rositas-Martínez

Juan Rositas-Martínez

Universidad Autónoma de Nuevo León (UANL)

Joel Mendoza-Gómez

Universidad Autónoma de Nuevo León (UANL)

Date Written: 2015

Abstract

This research focuses on proposing answers to crucial questions for improving statistics teaching. There is a perception not yet overcome that statistics is abstract, not useful, rigid, that generates anxiety and negative attitudes especially in management science and socials students. Neumann, Hood and Neumann (2013) provide an overview of recent research on teaching and learning statistics. Makar & Ben-Zvi (2011), Gardfield & Ben-Zvi (2007) and Scheaffer (2001) have suggested teaching approaches that include more real-life data and less theory, more data analysis and intuition-based knowledge building supported on active student participation and suitable technology and software. Research findings on how student learns, competency-based education, teamwork and communications and information technologies provide the platform to device and test new answers. Our study reports results achieved in our university (UANLFACPyA) from an exploratory research. We share these results with all those statistics teachers and instructors in business and industry organizations facing theses challenges.

Keywords: Statistics Education Research, Teamwork, Competency-Based Education, Statistics Software

JEL Classification: A20

Suggested Citation

Rositas-Martínez, Juan and Mendoza-Gómez, Joel, Competency Based Education and Technology in Teaching Statistics (2015). Business Education & Accreditation, v. 7 (1) pp. 77-86, 2015, Available at SSRN: https://ssrn.com/abstract=2654367

Juan Rositas-Martínez (Contact Author)

Universidad Autónoma de Nuevo León (UANL) ( email )

Joel Mendoza-Gómez

Universidad Autónoma de Nuevo León (UANL) ( email )

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
62
Abstract Views
419
rank
385,746
PlumX Metrics