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A Program for At-Risk High School Students Informed by Evolutionary Science

Overview of attention for article published in PLOS ONE, November 2011
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Title
A Program for At-Risk High School Students Informed by Evolutionary Science
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027826
Pubmed ID
Authors

David Sloan Wilson, Richard A. Kauffman, Miriam S. Purdy

Abstract

Improving the academic performance of at-risk high school students has proven difficult, often calling for an extended day, extended school year, and other expensive measures. Here we report the results of a program for at-risk 9th and 10th graders in Binghamton, New York, called the Regents Academy that takes place during the normal school day and year. The design of the program is informed by the evolutionary dynamics of cooperation and learning, in general and for our species as a unique product of biocultural evolution. Not only did the Regents Academy students outperform their comparison group in a randomized control design, but they performed on a par with the average high school student in Binghamton on state-mandated exams. All students can benefit from the social environment provided for at-risk students at the Regents Academy, which is within the reach of most public school districts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 2 2%
Bulgaria 1 <1%
Italy 1 <1%
Brazil 1 <1%
Romania 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 105 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 17%
Researcher 18 16%
Student > Master 11 9%
Student > Bachelor 9 8%
Professor 8 7%
Other 33 28%
Unknown 17 15%
Readers by discipline Count As %
Psychology 32 28%
Social Sciences 20 17%
Agricultural and Biological Sciences 12 10%
Computer Science 5 4%
Environmental Science 5 4%
Other 17 15%
Unknown 25 22%