E-learning, e-teaching of statistics: A new challenge
Travel arrangements and flight ticket booking via internet is widely used nowadays and follow already certain standards. Although increasing activity for multimedia/web education components can be observed, we are far away from standards in this important area. Statistics can possibly profit the most from e-learning since it requires a variety of skills including handling of quantitative data, graphical insights as well as mathematical ability. In this paper we take two positions – the student?s view and the teacher?s view – and discuss their relative coherence in order to propose standards for e-learning of statistics. The proposed standards are flexible with regard to content, multi-functionality, interactivity type, integration technology and design. Therefore the main focus may be directed on quality of e-learning tools in order to meet both teacher?s and student?s requirements. This is especially true for statistics which is taught in various disciplines. We present our thoughts and exemplify them via the e-learning/e-teaching tools MM*Stat, e-stat, MD*ReX and RExcel. The structure and the main characteristics of these multimedia tools will be explained. Then it will be described how such standards may be transferred to other cultures, languages or disciplines via the platform MD*Book.
|Date of creation:||2003|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.wiwi.hu-berlin.de/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Härdle, Wolfgang & Kleinow, Torsten & Tschernig, Rolf, 2000.
"Web quantlets for time series analysis,"
SFB 373 Discussion Papers
2000,1, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Wolfgang Härdle & Torsten Kleinow & Rolf Tschernig, 2001. "Web Quantlets for Time Series Analysis," Annals of the Institute of Statistical Mathematics, Springer, vol. 53(1), pages 179-188, March.
When requesting a correction, please mention this item's handle: RePEc:zbw:sfb373:200320. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics)
If references are entirely missing, you can add them using this form.