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Using wiki to build an e-learning system in statistics in the Arabic language

Author

Listed:
  • Taleb Ahmad
  • Wolfgang Härdle
  • Sigbert Klinke
  • Shafiqah Alawadhi

Abstract

E-learning plays an important role in education as it supports online teaching via computer networks and provides educational services by utilising information technologies. This paper presents a case study describing the development of an Arabic language e-learning course in statistics. Under discussion are problems concerning e-learning in Arab countries with special focus on the difficulties of the application of e-learning in the Arabic world as well as designing an Arabic platform with its language and technical challenges. For the platform we have chosen a wiki that supports L A T E X for formulas and R to generate tables and figures as well as some interactivity. Our system, Arabic MM*Stat, can be found at http://mars.wiwi.hu-berlin.de/mediawiki/mmstat_ar . Copyright Springer-Verlag 2013

Suggested Citation

  • 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.
  • Handle: RePEc:spr:compst:v:28:y:2013:i:2:p:481-491
    DOI: 10.1007/s00180-012-0312-6
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    References listed on IDEAS

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    1. Sigbert Klinke, 2011. "Developing web-based tools for the teaching of statistics: Our Wikis and the German Wikipedia," SFB 649 Discussion Papers SFB649DP2011-030, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Rönz, Bernd & Müller, Marlene & Ziegenhagen, Uwe, 2000. "The multimedia project MM*STAT for teaching statistics," SFB 373 Discussion Papers 2000,46, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    3. Taleb Ahmad & Wolfgang Härdle & Julius Mungo, 2006. "On the Difficulty to Design Arabic E-learning System in Statistics," SFB 649 Discussion Papers SFB649DP2006-062, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
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    Cited by:

    1. Wolfgang Härdle & Sigbert Klinke & Uwe Ziegenhagen, 2007. "On the Utility of E‐Learning in Statistics," International Statistical Review, International Statistical Institute, vol. 75(3), pages 355-364, December.

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    More about this item

    Keywords

    E-learning; MM*Stat; Wiki;
    All these keywords.

    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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