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Matthew Cooper Borkenhagen

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affiliation: University of Wisconsin-Madison, Department of Psychology, WI, USA

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2020 – today

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2022
[c5]
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  - conf/cogsci/SunHCBW22
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Qi Sun, Ching-I Huang, Kennedy Casey, Matthew Cooper Borkenhagen, Tianlin Wang:
Rates of gender representation in children's literature across cultures: A comparison of US vs. Chinese children's books. CogSci 2022
2020
[c4]
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Matthew Cooper Borkenhagen, Ayon Sen, Mark S. Seidenberg, Jerry Zhu, Christopher R. Cox:
Enhancing generalization through an optimized sequential curriculum: Learning (to read) through machine teaching. CogSci 2020
[i1]
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  - journals/corr/abs-2006-16470
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Ayon Sen, Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg, Xiaojin Zhu:
Learning to Read through Machine Teaching. CoRR abs/2006.16470 (2020)

2010 – 2019

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2019
[c3]
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Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg:
Efficiency of Learning in Experience-Limited Domains: Generalization Beyond the Wug Test. CogSci 2019: 1566-1571
2018
[c2]
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Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg:
Learning to read with a machine teacher: Discovering efficient procedures for training the orth-to-phon relationships in English. CogSci 2018
[c1]
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Tianlin Wang, Matthew Cooper Borkenhagen, Mark S. Seidenberg:
Skilled readers activate the meanings of phonetic cues in Chinese. CogSci 2018

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