“Thinking with Data” Journal Article published by NSTA

The Science, Biostatistics and Cancer Education (SBCE) program has had their article, “Thinking with Data,” published in the November Issue of The Science Teacher.  Members of the iAMSTEM Hub team have been working on the SBCE project over the past five years and the journal article describes the tools they have developed to help high school science teachers teach students how to apply biostatistics skills. You can access the journal article on the NSTA Learning Center.

The SBCE team includes Amy Falk Smith, Alisa Lee, Alberto Guzman-Alvarez, and Matt Steinwachs and is led by Hub Director, Marco Molinaro. The team worked closely with local and national teachers to develop, test, and refine two biostatistics and cancer modules that are relevant and accessible for teachers and students. The Distributions Module, highlighted in the article, focuses on distributions and dotplots while the Correlations Module focuses on bivariate data and scatterplots. The Correlations Module is currently being tested by science teachers at the local and national level. If you are interested in becoming a teacher tester please contact the SBCE team at info@sbce.ucdavis.edu.

Data from a Module 1 case study Visualized with SeeItBoth modules focus on teaching students to draw evidence-based conclusions. Throughout the modules, students are introduced to biostatistics concepts through online teacher presentations, practice applying these skills using student-generated data, then complete case studies using authentic data to answer real, high-interest science- and health-related questions.

Through the development of applied case studies and web-based teaching modules, SBCE provides high school students with the opportunity to gather and analyze real-world data, engaging them in complex issues related to cancer, health, and science.

Both modules use SeeIt, a free online data visualization tool developed by the iAMSTEM Hub team as a part of the project. SeeIt is an intuitive tool that allows users to easily graph data in dotplots and scatterplots.

The Distributions Module and SeeIt are both free and available at sbcesepa.org. The SBCE project is funded by the NIH’s Science Education Partnership Award (SEPA).

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