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E-learning statistics: A selective review

Author

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  • Härdle, Wolfgang Karl
  • Klinke, Sigbert
  • Ziegenhagen, Uwe
Abstract
Modern computing equipment is present at schools and universities at all levels of education. 4 In the statistical sciences computers offer great opportunities to enrich the learning process by the means of e.g. animations, software integration or on-the-fly computations. A personal review of different e-learning platforms for statistics is done in this paper. This review reveals facts that could be taken into account for future e-learning platforms in statistics. One of the most striking discoveries of our analysis is that students of statistics actually do not use electronic media in the desired frequency and actually rely more on print media such as books, copies of slides, etc.

Suggested Citation

  • Härdle, Wolfgang Karl & Klinke, Sigbert & Ziegenhagen, Uwe, 2006. "E-learning statistics: A selective review," SFB 649 Discussion Papers 2006-024, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  • Handle: RePEc:zbw:sfb649:sfb649dp2006-024
    as

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    References listed on IDEAS

    as
    1. Pavel Cizek & Wolfgang Karl Härdle & Rafal Weron, 2005. "Statistical Tools for Finance and Insurance," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook0501, December.
    2. Klinke, Sigbert & Witzel, Rodrigo, 2002. "MD*Book online: A tool for creating interactive documents," SFB 373 Discussion Papers 2002,21, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    3. Härdle, Wolfgang Karl & Lehmann, Heiko, 2005. "Working with the XQC," SFB 649 Discussion Papers 2005-010, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. McCullough, B.D. & Wilson, Berry, 2005. "On the accuracy of statistical procedures in Microsoft Excel 2003," Computational Statistics & Data Analysis, Elsevier, vol. 49(4), pages 1244-1252, June.
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    More about this item

    Keywords

    e-learning; electronic books; hypertext courseware; statistical software;
    All these keywords.

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