The SENSE project: a context-inclusive approach to studying environmental science within and across schools

Fraser, D. S. and Smith, H. and Tallyn, E. and Kirk, D. and Benford, S. and Rowland, D. and Paxton, M. and Price, S. and Fitzpatrick, G. (2005) The SENSE project: a context-inclusive approach to studying environmental science within and across schools. In: Conference of International Conference on Computer Supported Collaborative Learning 2005, 30 May 2005 - 4 June 2005, Taipei, Taiwan.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


This paper describes a project designed to provide children with a contextinclusive approach to collecting scientific data. The term context-inclusive refers to the collection of data which records the process of scientific data collection itself. We outline the design process carried out within two partner schools with the aim of engaging children in taking part in, and reflecting upon, the scientific process involved in collecting and analysing scientific data. We provided children with the ability to share and compare their data with children at their own and other schools. Our context-inclusive approach involved the design of tailored sensors and a bespoke interface displaying video data synchronised with environmental pollution data. Through evaluation of the data collection, analysis and sharing sessions, we describe how the context-inclusive approach impacts on children-s understanding of the scientific process. We focus on children-s discussion and reflection around understanding the constraints of measuring. We argue that the collection and presentation of contextual data engenders reflection on constraints, and may enable improved understanding of that process. © 2005 international Society of the Learning sciences.

Additional Information:Conference Code: 88982
Keywords:Children, Collaboration, Context, Data collection, Design process, Environmental pollutions, Environmental science, Evaluation, Partner schools, Scientific data, Video data, Data acquisition, E-learning, Pollution, Sensors, Visualization, Societies and institutions
Subjects:X Education > X370 Academic studies in Education (across phases)
F Physical Sciences > F850 Environmental Sciences
Divisions:College of Science > School of Computer Science
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ID Code:8723
Deposited On:13 Feb 2014 10:16

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