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Charles W. Kalish

Charles Kalish

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affiliation: University of Wisconsin-Madison

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2010 – 2019

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2017
[c9]
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Charles Kalish, Rui Meng, Ayon Seng, Percival G. Matthews:
Optimizing Mathematic Learning: Effects of Continuous and Nominal Practice Format on Transfer of Arithmetic Skills. CogSci 2017
[c8]
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Timothy T. Rogers, Charles Kalish:
LUCID science: Advancing learning through human-machine cooperation. CogSci 2017
2015
[j2]
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Anne E. Riggs, Martha W. Alibali, Charles W. Kalish:
Leave Her out of It: Person-Presentation of Strategies is Harmful for Transfer. Cogn. Sci. 39(8): 1965-1978 (2015)
[c7]
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Jonathan Phillips, Joshua Knobe, Andrew Shtulman, Charles Kalish, Anne E. Riggs, Christopher Hitchcock:
The Relevance of Alternative Possibilities throughout Cognition. CogSci 2015
2012
[j1]
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Charles Kalish, Sunae Kim, Andrew G. Young:
How Young Children Learn From Examples: Descriptive and Inferential Problems. Cogn. Sci. 36(8): 1427-1448 (2012)
2011
[c6]
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Jennifer Cooper, Candace A. Walkington, Caroline Williams, Olubukola Akinsiku, Charles Kalish, Amy Ellis, Eric Knuth:
Adolescent Reasoning in Mathematics: Exploring Middle School Students' Strategic Approaches in Empirical Justifications. CogSci 2011
[c5]
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Charles Kalish:
Do children and adults learn forward and inverse conditional probabilities together? CogSci 2011
[c4]
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Jordan Thevenow-Harrison, Charles Kalish:
What Can You Learn From A Deceptive Teacher? Sample But Not Population Statistics. CogSci 2011
[c3]
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Andrew G. Young, Sunae Kim, Charles W. Kalish:
Incomplete sampling leads to broader category generalizations in preschoolers. CogSci 2011

2000 – 2009

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2008
[c2]
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  - conf/nips/CastroKNQRZ08
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Rui M. Castro, Charles Kalish, Robert D. Nowak, Ruichen Qian, Timothy T. Rogers, Xiaojin Zhu:
Human Active Learning. NIPS 2008: 241-248

1990 – 1999

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1998
[c1]
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C. S. Choi, Patricia F. Brennan, Charles Kalish:
Child health records: are they valid and useful to children and pediatric practitioners? AMIA 1998

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