e-Learning Statistics - A Selective Review
AbstractModern computing equipment is present at schools and universities at all levels of education. 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.
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Bibliographic InfoPaper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2006-024.
Length: 15 pages
Date of creation: Apr 2006
Date of revision:
e-learning; electronic books; hypertext courseware; statistical software;
Find related papers by 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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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.:
- 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.
- Wolfgang Härdle & Heiko Lehmann, 2005. "Working with the XQC," SFB 649 Discussion Papers SFB649DP2005-010, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- 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.
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