All Publications


  • Computer science skills across China, India, Russia, and the United States PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA Loyalka, P., Liu, O., Li, G., Chirikov, I., Kardanova, E., Gu, L., Ling, G., Yu, N., Guo, F., Ma, L., Hu, S., Johnson, A., Bhuradia, A., Khanna, S., Froumin, I., Shi, J., Choudhury, P., Beteille, T., Marmolejo, F., Tognatta, N. 2019; 116 (14): 6732–36
  • Computer science skills across China, India, Russia, and the United States. Proceedings of the National Academy of Sciences of the United States of America Loyalka, P., Liu, O. L., Li, G., Chirikov, I., Kardanova, E., Gu, L., Ling, G., Yu, N., Guo, F., Ma, L., Hu, S., Johnson, A. S., Bhuradia, A., Khanna, S., Froumin, I., Shi, J., Choudhury, P. K., Beteille, T., Marmolejo, F., Tognatta, N. 2019

    Abstract

    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.

    View details for PubMedID 30886093

  • Through the Sociological Lens: Learning Mathematics in a Mumbai Classroom For the Learning of Mathematics Khanna, S. 2017; 37 (3): 24-26