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Inquiry Learning with Data and Visualization in the STEM Classroom PROCEEDING

, Machine Science, United States ; , , University of Massachusetts Lowell, United States

Society for Information Technology & Teacher Education International Conference, in Savannah, GA, United States ISBN 978-1-939797-13-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

Understanding data is a crucial 21st century skill for students in STEM education. At the core of the latest science and math standards is the principle that students should be able to apply real world science and engineering principles to work with and understand data. Here, we discuss three styles of integrating collaborative data analysis and exploration in the classroom using a web-based data visualization system that was purpose-built for middle through high school use (iSENSE). We discuss each of these styles/strategies, potential benefits and reasons for use, and give concrete examples of classroom use by teachers.

Citation

Michalka, S., Dalphond, J. & Martin, F. (2016). Inquiry Learning with Data and Visualization in the STEM Classroom. In G. Chamblee & L. Langub (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 2204-2211). Savannah, GA, United States: Association for the Advancement of Computing in Education (AACE). Retrieved October 21, 2018 from .

Keywords

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References

  1. Academic Benchmarks (2015). Next Generation Science Standards Adoption Map. Http://academicbenchmarks.com/nextgeneration-science-standards-adoption-map/
  2. Astrachan, O., & Briggs, A. (2012). The CS principles project. ACM Inroads, 3(2), 38-42.
  3. Chang, K.-E., Sung, Y.-T., and Lee, C.-L. (2003). Web-based collaborative inquiry learning. Journal of computer assisted learning, 19(1):56–69.
  4. Cogger, S. (2015). Doing the Data Walk. The Science Teacher, 82(2), 43. Common Core (2015a). About the standards. Http://www.corestandards.org/about-the-standards/ Common Core (2015b). Common core state standards for mathematics. Http://www.corestandards.org/wpcontent/uploads/Math_Standards.pdf
  5. Dalphond, J., Martin, F., Rudnicki, I., and Scribner-MacLean, M. (2013) Transforming Science and Engineering Classrooms with Online Collaborative Tools. International Society for Technology in Education Conference. Http://www.isteconference.org/uploads/ISTE2013/HANDOUTS/KEY_80762835/ISTE_2013_iSENSE_RP.pdf Lee, I., Martin, F., & Apone, K. (2014). Integrating computational thinking across the K–8 curriculum. ACM Inroads, 5(4), 6471.
  6. Massachusetts Department of Education (2006). Massachusetts science and technology/engineering curriculum framework. Http://www.doe.mass.edu/frameworks/scitech/1006.pdf NGSS (2013). The next generation science standards executive summary. Http://www.nextgenscience.org/next-generationscience-standards
  7. OECD (2015), Students, Computers and Learning: Making the Connection, PISA, OECD Publishing, Paris.
  8. Willis, M.B.N., Hay, S., Martin, F.G., Scribner-MacLean, M., and Rudnicki, I. (2015). Probability with Collaborative Data Visualization Software. Mathematics Teacher, 109(3), P. 194–199.

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