Thursday, March 24
2:15-2:45 PM
EDT
Percival

Inquiry Learning with Data and Visualization in the STEM Classroom

Full Paper - Book (submit final version now) ID: 48347
  1. aaa
    Samantha Michalka
    Machine Science
  2. James Dalphond
    University of Massachusetts Lowell
  3. aaa
    Fred Martin
    University of Massachusetts Lowell

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.

Presider: Dan Jones, Ball State University

Topics

Conference attendees are able to comment on papers, view the full text and slides, and attend live presentations. If you are an attendee, please login to get full access.
x