An Evolving Definition of Computational Thinking in Science and Mathematics Classrooms

Amanda Nicole Peel, Sugat Prasanna Dabholkar, Sally Wu, Michael Stephen Horn, Uri Wilensky

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

Computational Thinking (CT) curricula are increasingly being integrated into K-12 education across multiple subject areas. Our approach to this integration is to define Computational Thinking in terms of prevalent practices of professional disciplines. As our understanding of these practices evolve, so too must our operational definition of CT. Here we present a refined definition of CT in science and mathematics classrooms. Based on our extensive research designing and studying CT curricular units in collaboration with science and mathematics teachers, we have arrived at a working draft of a revised computational thinking in science and math taxonomy. We present the new version of taxonomy which has six revised categories of practices: computational modeling and simulation, computational visualization, algorithms, data practices, programming, and computational problem solving. We describe each category and how they are related.

Original languageEnglish (US)
Pages (from-to)119-122
Number of pages4
JournalProceedings of International Conference on Computational Thinking Education
StatePublished - 2021
Event5th APSCE International Conference on Computational Thinking and STEM Education, CTE-STEM 2021 - Virual, Online
Duration: Jun 2 2021Sep 4 2021

Keywords

  • Computational Thinking
  • Practices
  • Science and Mathematics education
  • Taxonomy

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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