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On the utility of e-learning in statistics

Author

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  • Härdle, Wolfgang Karl
  • Klinke, Sigbert
  • Ziegenhagen, Uwe

Abstract

Students of introductory courses consider statistics as particularly difficult, as the understanding of the underlying concepts may require more time and energy than for other disciplines. For decades statisticians have tried to enhance understanding with the help of technical solutions such as animation, video or interactive tools. However it is not clear if the added value generated by these e-learning tools justifies the work invested. In this paper the experience with various e-learning solutions in terms of utility and the impact on teaching is discussed.

Suggested Citation

  • Härdle, Wolfgang Karl & Klinke, Sigbert & Ziegenhagen, Uwe, 2007. "On the utility of e-learning in statistics," SFB 649 Discussion Papers 2007-050, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2007-050
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    References listed on IDEAS

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    1. Taleb Ahmad & Wolfgang Härdle & Sigbert Klinke & Shafiqah Alawadhi, 2013. "Using wiki to build an e-learning system in statistics in the Arabic language," Computational Statistics, Springer, vol. 28(2), pages 481-491, April.
    2. Klinke, Sigbert & Lehmann, Heiko, 2003. "MD*Book and XQC/XQS - an Architecture for Reproducible Research," SFB 373 Discussion Papers 2003,35, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    3. Deborah Nolan & Duncan Temple Lang, 2007. "Dynamic, Interactive Documents for Teaching Statistical Practice," International Statistical Review, International Statistical Institute, vol. 75(3), pages 295-321, December.
    4. Ahmad, Taleb & Härdle, Wolfgang Karl & Mungo, Julius, 2006. "On the difficulty to design Arabic e-learning system in statistics," SFB 649 Discussion Papers 2006-062, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

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