Article 2020

Computational Thinking from a Disciplinary Perspective: Integrating Computational Thinking in K-12 Science, Technology, Engineering, and Mathematics Education

Journal of Science Education and Technology
Journal · Vol. 29 · Issue 1 · pp. 1-8
Abstract

This article provides an introduction for the special issue of the Journal of Science Education and Technology focused on computational thinking (CT) from a disciplinary perspective. The special issue connects earlier research on what K-12 students can learn and be able to do using CT with the CT skills and habits of mind needed to productively participate in professional CT-integrated STEM fields. In this context, the phrase “disciplinary perspective” simultaneously holds two meanings: it refers to and aims to make connections between established K-12 STEM subject areas (science, technology, engineering, and mathematics) and newer CT-integrated disciplines such as computational sciences. The special issue presents a framework for CT integration and includes articles that illuminate what CT looks like from a disciplinary perspective, the challenges inherent in integrating CT into K-12 STEM education, and new ways of measuring CT aligned more closely with disciplinary practices. The aim of this special issue is to offer research-based and practitioner-grounded insights into recent work in CT integration and provoke new ways of thinking about CT integration from researchers, practitioners, and research-practitioner partnerships. © 2019, Springer Nature B.V.

Keywords

Author Keywords

engineering technology Computational thinking and mathematics education Disciplinary perspective Integrating computational thinking K-12 science

Index Keywords

Author Affiliations
Massachusetts Institute of Technology, Cambridge, MA, United States
Stanford University, Stanford, CA, United States
University of Massachusetts Lowell, Lowell, MA, United States
Education Development Center, Waltham, MA, United States
Funding & Acknowledgements
Center for Selective C-H Functionalization, National Science Foundation
National Science Foundation, NSF
Grant: 1647018, 1543144
National Science Foundation, NSF
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