In the physical sciences and other fields, conclusions are made from experimental data. To succeed in such fields, people must know how to gather, analyze, and draw conclusions from data: not just following steps, but understanding the concepts of measurement and uncertainty. We design the Scientific Community Laboratory (SCL) to teach students to utilize their everyday skills of argument and decision-making for data gathering and analysis. We then develop research tools for studying students' understanding of measurement and uncertainty and use these tools to investigate students in the traditional laboratory and in the SCL.
Released under a © Rebecca Lippmann
Published January 1, 2003
Last Modified December 29, 2006
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