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Initial Learning Trajectories for K-12 Quantum Computing

Published: 26 February 2020 Publication History

Abstract

As quantum computation (QC) comes closer to reality, questions arise as to what elements to teach, how to teach it, and to what depth. QC instruction typically depends heavily on advanced math and/or physics. Our interdisciplinary science / computer science / education team co-created quantum computing (QC) learning trajectories (LT), zines, and activities, for young learners. We present the LT's (Superposition, Quantum State, Entanglement, Measurement, and Reversibility) and the iterative process that created them.

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cover image ACM Conferences
SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education
February 2020
1502 pages
ISBN:9781450367936
DOI:10.1145/3328778
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 February 2020

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  1. computational thinking
  2. k-12 education
  3. quantum computing

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Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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