BibTeX
@MISC{Geukes_scenario,
author = {Albert Geukes},
title = {Scenario},
year = {}
}
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Abstract
Research, addresses the didactic modelling and the production of multimedia based learning material, to be used in ordinary education at universities. Together with 13 partners from 10 universities we are now running courses with several hundreds of students. 2. The Problem How to teach students of different faculties and studies in achieving core competences in statistics? How to develop a set of teaching material that can be adapted and used by different teachers in their genuine discipline? Can students be prepared to know not only the theoretical background but also to solve statistical problems? The “missing link ” between too abstract theory and real or realistic issues is an often mentioned reason for students ’ problems in achieving essential skills. So what can we do? 3. The Statistical Laboratory Within the scope of NEW STATISTICS, we have developed various approaches to tackle the problems. Actually from our point of view it is not the key to drop traditional teaching material, but to emphasize less formal, media based presentations. Our experiences so far show that our so called Statistical Lab can take on a dominant role. This interactive and explorative application is designed as a toolbox in order to enable students to “act statistically”. But different from other statistical applications (like SPSS or Splus), the Statistical Lab doesn’t take over the perspective of statistical experts but of statistical learners. More constructivistic elements and instruments come to the fore. Formal aspects – at least within the scope of the Lab – take a back seat. The functional complexity of the clearly data oriented Lab allows the design and creation of more authentic statistical scenarios. A creative handling of various solutions dominates highly aggregated arithmetic. Added value occurs if teachers contribute their own ideas in the form of individual digital scenarios.
Keyphrases
statistical lab statistical laboratory within explorative application different teacher statistical problem different faculty authentic statistical scenario didactic modelling back seat essential skill core competence statistical application statistical learner individual digital scenario statistical expert various approach added value new statistic various solution realistic issue dominant role constructivistic element creative handling ordinary education functional complexity mentioned reason theoretical background several hundred formal aspect student problem genuine discipline abstract theory
