Web-based student learning of statistics

Ayse Bilgin, Kehui Luo, Jennifer Middledorp

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    Abstract

    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.
    Original languageEnglish
    Title of host publicationEnhancing higher education, theory and scholarship
    Subtitle of host publicationproceedings of the annual HERDSA Conference 2007
    Place of PublicationMilperra, NSW
    PublisherHigher Education Research and Development Society of Australasia
    Number of pages8
    ISBN (Print)090855771X
    Publication statusPublished - 2007
    EventHigher Education Research and Development Society of Australasia Conference - Adelaide
    Duration: 8 Jul 200711 Jul 2007

    Publication series

    NameResearch and development in higher education
    PublisherHigher Education Research and Development Society of Australasia
    ISSN (Print)0155-6223

    Conference

    ConferenceHigher Education Research and Development Society of Australasia Conference
    CityAdelaide
    Period8/07/0711/07/07

    Keywords

    • web-based statistical learning system, experiential learning, statistical software
    • web-based statistical learning system
    • experiential learning
    • statistical software

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