565
Views
9
CrossRef citations to date
0
Altmetric
RESEARCH REPORT

Data and Claim: The refinement of science fair work through argumentation

, , &
Pages 147-164 | Published online: 27 Jun 2011
 

Abstract

This study adopts case studies using open-ended questionnaires, pupils' notes, teachers' journals, science fair projects, photos, videos, and other materials in order to explore the use of argumentation in promoting students' elaboration of their science projects. The participants in this study are seven sixth-grade pupils from four different classes, comprising five girls and two boys. The results reveal that the use of argumentation in the elaboration process not only helps the students to examine the validity of science projects but also guides them to reflect on the consistency of the projects' objective, experimental design, results, and conclusion. It was also found that rebuttals are not evident in scientific projects, and though the data claim that warrants are key elements of the elaboration process in a science fair, their meanings are not easily understood by primary-school students. Teachers are required to continuously explain the importance of argumentation. In addition, formulating conclusions based on empirical data is difficult for students. On the other hand, collecting and refining data as evidence to support or disprove a given temporary conclusion are less complicated tasks for the students.

Acknowledgements

This study was supported by the National Science Council, Taiwan, under grant NSC 96-2511-S-110-001-MY3. Special thanks to the research assistants, teachers, and students who have been very supportive to this study.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 218.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.