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Computer science skills across China, India, Russia, and the United States
We assess and compare computer science skills among final-year computer science undergraduates (seniors) in four major economic and political powers that produce approximately half of the science, technology, engineering, and mathematics graduates in the world. We find that seniors in the United Sta...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452691/ https://www.ncbi.nlm.nih.gov/pubmed/30886093 http://dx.doi.org/10.1073/pnas.1814646116 |
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author | Loyalka, Prashant Liu, Ou Lydia Li, Guirong Chirikov, Igor Kardanova, Elena Gu, Lin Ling, Guangming Yu, Ningning Guo, Fei Ma, Liping Hu, Shangfeng Johnson, Angela Sun Bhuradia, Ashutosh Khanna, Saurabh Froumin, Isak Shi, Jinghuan Choudhury, Pradeep Kumar Beteille, Tara Marmolejo, Francisco Tognatta, Namrata |
author_facet | Loyalka, Prashant Liu, Ou Lydia Li, Guirong Chirikov, Igor Kardanova, Elena Gu, Lin Ling, Guangming Yu, Ningning Guo, Fei Ma, Liping Hu, Shangfeng Johnson, Angela Sun Bhuradia, Ashutosh Khanna, Saurabh Froumin, Isak Shi, Jinghuan Choudhury, Pradeep Kumar Beteille, Tara Marmolejo, Francisco Tognatta, Namrata |
author_sort | Loyalka, Prashant |
collection | PubMed |
description | We assess and compare computer science skills among final-year computer science undergraduates (seniors) in four major economic and political powers that produce approximately half of the science, technology, engineering, and mathematics graduates in the world. We find that seniors in the United States substantially outperform seniors in China, India, and Russia by 0.76–0.88 SDs and score comparably with seniors in elite institutions in these countries. Seniors in elite institutions in the United States further outperform seniors in elite institutions in China, India, and Russia by ∼0.85 SDs. The skills advantage of the United States is not because it has a large proportion of high-scoring international students. Finally, males score consistently but only moderately higher (0.16–0.41 SDs) than females within all four countries. |
format | Online Article Text |
id | pubmed-6452691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-64526912019-04-11 Computer science skills across China, India, Russia, and the United States Loyalka, Prashant Liu, Ou Lydia Li, Guirong Chirikov, Igor Kardanova, Elena Gu, Lin Ling, Guangming Yu, Ningning Guo, Fei Ma, Liping Hu, Shangfeng Johnson, Angela Sun Bhuradia, Ashutosh Khanna, Saurabh Froumin, Isak Shi, Jinghuan Choudhury, Pradeep Kumar Beteille, Tara Marmolejo, Francisco Tognatta, Namrata Proc Natl Acad Sci U S A Social Sciences We assess and compare computer science skills among final-year computer science undergraduates (seniors) in four major economic and political powers that produce approximately half of the science, technology, engineering, and mathematics graduates in the world. We find that seniors in the United States substantially outperform seniors in China, India, and Russia by 0.76–0.88 SDs and score comparably with seniors in elite institutions in these countries. Seniors in elite institutions in the United States further outperform seniors in elite institutions in China, India, and Russia by ∼0.85 SDs. The skills advantage of the United States is not because it has a large proportion of high-scoring international students. Finally, males score consistently but only moderately higher (0.16–0.41 SDs) than females within all four countries. National Academy of Sciences 2019-04-02 2019-03-18 /pmc/articles/PMC6452691/ /pubmed/30886093 http://dx.doi.org/10.1073/pnas.1814646116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Loyalka, Prashant Liu, Ou Lydia Li, Guirong Chirikov, Igor Kardanova, Elena Gu, Lin Ling, Guangming Yu, Ningning Guo, Fei Ma, Liping Hu, Shangfeng Johnson, Angela Sun Bhuradia, Ashutosh Khanna, Saurabh Froumin, Isak Shi, Jinghuan Choudhury, Pradeep Kumar Beteille, Tara Marmolejo, Francisco Tognatta, Namrata Computer science skills across China, India, Russia, and the United States |
title | Computer science skills across China, India, Russia, and the United States |
title_full | Computer science skills across China, India, Russia, and the United States |
title_fullStr | Computer science skills across China, India, Russia, and the United States |
title_full_unstemmed | Computer science skills across China, India, Russia, and the United States |
title_short | Computer science skills across China, India, Russia, and the United States |
title_sort | computer science skills across china, india, russia, and the united states |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452691/ https://www.ncbi.nlm.nih.gov/pubmed/30886093 http://dx.doi.org/10.1073/pnas.1814646116 |
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