Teaching Computational Thinking in the Context of Meteorology

• In Event: AERA Poster Session 4
  In Poster Session: Division C Section 1d: Science Poster Session 1 (San Diego)

Abstract

Our project aims to promote students’ computational thinking (CT) skills using meteorology as a context, and IDV (Integrated Data Viewer: https://www.unidata.ucar.edu/software/idv/) as a tool to visualize real-world weather data. Unfortunately, existing studies do not reflect how CT skills are practiced by meteorologists, but rather base their list of CT skills only on competencies rooted in computer science coursework. In this paper, we present a list of CT skills contextualized in data visualization of meteorology based on a review of the literature. In addition, we give examples of how we embedded these skills into the visualization of weather data using IDV.

Authors

• Mengni Bai, Mississippi State University

• Yan Sun, Mississippi State University

• Pat Ko, Mississippi State University

• Jamie Dyer, Mississippi State University

• Harris Jonathon

• M. Jean Mohammadi-Aragh, Mississippi State University