Inquiry Learning with Data and Visualization in the STEM Classroom PROCEEDING
Samantha Michalka, Machine Science, United States ; James Dalphond, Fred Martin, 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
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.
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 https://www.learntechlib.org/primary/p/171999/.
© 2016 Association for the Advancement of Computing in Education (AACE)
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