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On the Utility of E-Learning in Statistics

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Author Info
Wolfgang Härdle
Sigbert Klinke
Uwe Ziegenhagen

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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.

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File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2007-050.pdf
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Publisher Info
Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2007-050.

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Length: 16 pages
Date of creation: Aug 2007
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Handle: RePEc:hum:wpaper:sfb649dp2007-050

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Related research
Keywords: E-Learning Statistics Web-based Learning.

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Find related papers by JEL classification:
I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Other

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  1. Kerstin Kiefer & Philipp Schorn, 2007. "Auswirkungen der IFRS-Umstellung auf die Risikoprämie von Unternehmensanleihen - Eine empirische Studie für Deutschland, Österreich und die Schweiz," SFB 649 Discussion Papers SFB649DP2007-056, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany. [Downloadable!]
  2. Marcus Wagner, 2007. "Determinants of the Acquisition of Smaller Firms by Larger Incumbents in High-Tech Industries: Are they related to Innovation and Technology Sourcing?," SFB 649 Discussion Papers SFB649DP2007-063, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany. [Downloadable!]
  3. Volodymyr Perederiy, 2007. "Kombinierte Liquiditäts- und Solvenzkennzahlen und ein darauf basierendes Insolvenzprognosemodell für deutsche GmbHs," SFB 649 Discussion Papers SFB649DP2007-060, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany. [Downloadable!]
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