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Designing a Middle School Science Curriculum that Integrates Computational Thinking and Sensor Technology

Published: 22 February 2019 Publication History

Abstract

This experience report describes two iterations of a curriculum development process in which middle school teachers worked with our research team to collaboratively design and enact instructional units where students used sensors to investigate scientific phenomena. In this report, we examine the affordances of using a sensor platform to support the integration of disciplinary learning and computational thinking (CT) aligned with Next Generation Science Standards and the CT in STEM Taxonomy developed by Weintrop and colleagues. In the first unit, students investigated the conditions for mold growth within their school using a custom sensor system. After analyzing implementation experiences and student interest data, our team engaged in another round of co-design to develop a second instructional unit. This unit uses a different sensor system (the micro:bit) which supports additional CT in STEM practices due to its block-based programming interface and its real time data display. For the second unit we selected a different phenomenon: understanding and designing maglev trains.

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cover image ACM Conferences
SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education
February 2019
1364 pages
ISBN:9781450358903
DOI:10.1145/3287324
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 22 February 2019

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Author Tags

  1. computational thinking
  2. middle school science
  3. sensors

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SIGCSE '19 Paper Acceptance Rate 169 of 526 submissions, 32%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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  • (2024)The Integration of Computational Thinking and Making in the ClassroomProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630948(778-784)Online publication date: 7-Mar-2024
  • (2024)Co-design Pedagogy for Computational Thinking Education in K-12: A Systematic Literature ReviewTechnology, Knowledge and Learning10.1007/s10758-024-09765-yOnline publication date: 6-Aug-2024
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