TY - GEN
T1 - Web-based student learning of statistics
AU - Bilgin, Ayse
AU - Luo, Kehui
AU - Middledorp, Jennifer
PY - 2007
Y1 - 2007
N2 - A need was identified for a statistical learning system that combines a statistical package offering all standard statistical procedures together with a system that helps students to learn the rudiments of statistics through experiential learning. The WebStat Data Analysis and Learning System, a web-based student learning system, is designed to fulfill this need. Currently, the system can handle large data sets from a range of sources and perform all standard and commonly used statistical procedures such as descriptive statistics, regression analyses, and more sophisticated statistical modelling such as Generalised Linear Models (GLM). WebStat utilises the program R, one of the most sophisticated and extensive statistical programs available. It can be used by many students, particularly non-statistics research students. WebStat can be further developed to suit a wide range of users. In this paper, we describe and discuss the advantages of using WebStat as a learning tool, along with identifying the main features of and possible improvements to the current design.
AB - A need was identified for a statistical learning system that combines a statistical package offering all standard statistical procedures together with a system that helps students to learn the rudiments of statistics through experiential learning. The WebStat Data Analysis and Learning System, a web-based student learning system, is designed to fulfill this need. Currently, the system can handle large data sets from a range of sources and perform all standard and commonly used statistical procedures such as descriptive statistics, regression analyses, and more sophisticated statistical modelling such as Generalised Linear Models (GLM). WebStat utilises the program R, one of the most sophisticated and extensive statistical programs available. It can be used by many students, particularly non-statistics research students. WebStat can be further developed to suit a wide range of users. In this paper, we describe and discuss the advantages of using WebStat as a learning tool, along with identifying the main features of and possible improvements to the current design.
KW - web-based statistical learning system, experiential learning, statistical software
KW - web-based statistical learning system
KW - experiential learning
KW - statistical software
M3 - Conference proceeding contribution
SN - 090855771X
T3 - Research and development in higher education
BT - Enhancing higher education, theory and scholarship
PB - Higher Education Research and Development Society of Australasia
CY - Milperra, NSW
T2 - Higher Education Research and Development Society of Australasia Conference
Y2 - 8 July 2007 through 11 July 2007
ER -