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Quantum probability and cognitive modeling: Some cautions and a promising direction in modeling physics learning

Published online by Cambridge University Press:  14 May 2013

Donald R. Franceschetti
Affiliation:
Department of Physics and Institute for Intelligent Systems, The University of Memphis, Memphis, TN 38152. dfrncsch@memphis.eduegire@memphis.edu
Elizabeth Gire
Affiliation:
Department of Physics and Institute for Intelligent Systems, The University of Memphis, Memphis, TN 38152. dfrncsch@memphis.eduegire@memphis.edu

Abstract

Quantum probability theory offers a viable alternative to classical probability, although there are some ambiguities inherent in transferring the quantum formalism to a less determined realm. A number of physicists are now looking at the applicability of quantum ideas to the assessment of physics learning, an area particularly suited to quantum probability ideas.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

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References

Bao, L., Hogg, K. & Zollman, D. (2002) Model analysis of dine structure of student models: An example with Newton's Third Law. American Journal of Physics 70:755–78.CrossRefGoogle Scholar
Dirac, P. (1958) Quantum mechanics, 4th ed. Oxford University Press.Google Scholar
Fano, U. (1957) Description of states in quantum mechanics by density matrix and operator techniques. Reviews of Modern Physics 29:7493.CrossRefGoogle Scholar
Pais, A. (1991) Neils Bohr's times: In physics, philosophy and polity. Oxford University Press.Google Scholar
Penrose, R. (1989) The emperor's new mind. Oxford University Press.Google Scholar

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