
A Real-Time Wed-based System to facilitate meaningful learning in Statistics
PROCEEDINGS
Carl Lee, John Daniels, Felix Famoye, Central Michigan University, United States
EdMedia + Innovate Learning, in Vancouver, Canada ISBN 978-1-880094-62-4 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
Statistics deals with the uncertainty of real world phenomena. It is natural that statistics uses technology, especially in the part of 'doing statistics' by easing the burden of computation needed in statistical techniques. The modern technology provides opportunity not only for easing computational burden, but more importantly, for creating innovative instructional technology that integrates content, pedagogy and technology for teaching and learning statistics. This article presents a real-time web-based system that mimics the entire process of a statistical investigation cycle for solving real world problems. The general learning framework used for the development of the system is the six characteristics of meaningful learning. The recommendations made by GAISE are used as the guidance for integrating content, pedagogy and technology in statistics.
Citation
Lee, C., Daniels, J. & Famoye, F. (2007). A Real-Time Wed-based System to facilitate meaningful learning in Statistics. In C. Montgomerie & J. Seale (Eds.), Proceedings of ED-MEDIA 2007--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3619-3627). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved May 24, 2022 from https://www.learntechlib.org/primary/p/25896/.
© 2007 Association for the Advancement of Computing in Education (AACE)