chapter

ParIS: visualizing ideas and information in a resource-based learning scenario

Authors:

Wolfgang Gräber,

Sigmar-Olaf TerganAuthors Info & Claims

Knowledge and Information Visualization: searching for synergies

January 2005

Pages 256 - 281

Published: 01 January 2005 Publication History

Abstract

The project ParIS (Partnership Industry and School) emphasizes the teaching of scientific literacy in problem-based learning scenarios in German science classes. In order to foster self-regulated learning and scientific literacy, a resource-based learning approach has been used for enhancing teaching and learning. Conventional lessons are supplemented by phases of project-based work, engaging students in self-regulated coping with everyday questions concerning science phenomena, using the Internet as a central learning resource. A spatial learning strategy (Mind Mapping) has been implemented for fostering both the management of knowledge and knowledge resources, as well as promoting the development of cognitive and meta-cognitive competencies. In order to support effective teaching and learning, the resource-based learning scenario has been embedded in a ‘cognitive apprenticeship' approach. This paper describes the rationale for the design and implementation of ParIS in a 10th grade chemistry class at a German Waldorf school. Preliminary results of a pilot study focusing on the acceptance and usability of the instructional approach are outlined.

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Cited By

Biha MKaba BMeurs MSanJuan E(2007)Graph decomposition approaches for terminology graphsProceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence10.5555/1775967.1776058(883-893)Online publication date: 4-Nov-2007
https://dl.acm.org/doi/10.5555/1775967.1776058

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Published In

cover image Guide books

Knowledge and Information Visualization: searching for synergies

January 2005

385 pages

ISBN:3540269215

Editors:
Sigmar-Olaf Tergan
Institut für Wissensmedien (IWM), Konrad-Adenauer Str. 40, Tübingen, Germany
,
Tanja Keller
Institut für Wissensmedien (IWM), Konrad-Adenauer-Straße 40, Tuebingen, Germany

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 January 2005

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Cited By

Biha MKaba BMeurs MSanJuan E(2007)Graph decomposition approaches for terminology graphsProceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence10.5555/1775967.1776058(883-893)Online publication date: 4-Nov-2007
https://dl.acm.org/doi/10.5555/1775967.1776058

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