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Initial Learning Trajectories for K-12 Quantum Computing
- Source :
- SIGCSE
- Publication Year :
- 2020
- Publisher :
- ACM, 2020.
-
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.
- Subjects :
- Computer science
4. Education
05 social sciences
050301 education
02 engineering and technology
Quantum entanglement
Superposition principle
Quantum state
020204 information systems
ComputingMilieux_COMPUTERSANDEDUCATION
0202 electrical engineering, electronic engineering, information engineering
Calculus
0503 education
Quantum computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 51st ACM Technical Symposium on Computer Science Education
- Accession number :
- edsair.doi...........45de216207e416b59fb5cbfe5b103153
- Full Text :
- https://doi.org/10.1145/3328778.3372590