Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/88924
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- Title
- Web-based student learning of statistics
- Related
- Higher Education Research and Development Society of Australasia Conference (8 - 11 July 2007 : Adelaide)
- Related
- Enhancing higher education, theory and scholarship : proceedings of the annual HERDSA Conference 2007
- Related
- http://www.herdsa.org.au/wp-content/uploads/conference/2007/papers/p189.pdf
- Related
- Research and development in higher education
- Publisher
- Milperra, NSW : Higher Education Research and Development Society of Australasia
- Date
- 2007
- FoR/RFCD Code(s)
-
010400 Statistics
080300 Computer Software
130200 Curriculum and Pedagogy
- Author/Creator
- Bilgin, Ayse
- Author/Creator
- Luo, Kehui
- Author/Creator
- Middledorp, Jennifer
- Description
- 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.
- Description
- 8 page(s)
- Subject Keyword
- 010400 Statistics
- Subject Keyword
- 080300 Computer Software
- Subject Keyword
- 130200 Curriculum and Pedagogy
- Subject Keyword
- web-based statistical learning system, experiential learning, statistical software
- Subject Keyword
- web-based statistical learning system
- Subject Keyword
- experiential learning
- Subject Keyword
- statistical software
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Statistics
- Identifier
- http://hdl.handle.net/1959.14/88924
- Identifier
- ISBN:090855771X
- Identifier
- ISSN:0155-6223
- Identifier
- mq-rm-2007001408
- Language
- eng
- Reviewed
