An Evaluation of Single and Mixed Gender Computer Science Classes
AbstractDiscussions on the benefits of single-gender education on girls science outcomes are popular in the German education literature. However, most empirical evidence tends to be qualitative work and the causal effects of single-gender education are hardly identified using appropriate statistical methods. This paper provides insights from a recent single-gender-education school project conducted in computer science classes at a German lower secondary school. About 80 students participated in this intervention study repeatedly answering specifically designed questionnaires and tests. The project fails to identify positive effects from single-gender education but the interpretation is impeded by several confounding factors. When directly asked, most students prefer to be educated in mixed-gender groups, while the participating teachers judge their teaching experience with the project groups in favour of single-gender education.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät in its series Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Leibniz Universität Hannover with number dp-369.
Length: 76 pages
Date of creation: Jul 2007
Date of revision:
gender; education; identification; coeducation; segregation; experiments;
Find related papers by JEL classification:
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-08-08 (All new papers)
- NEP-EDU-2007-08-08 (Education)
- NEP-HRM-2007-08-08 (Human Capital & Human Resource Management)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Sandra E. Black & Alexandra Spitz-Oener, 2007.
"Explaining Women's Success: Technological Change and the Skill Content of Women's Work,"
NBER Working Papers
13116, National Bureau of Economic Research, Inc.
- Sandra E. Black & Alexandra Spitz-Oener, 2010. "Explaining Women's Success: Technological Change and the Skill Content of Women's Work," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 187-194, February.
- Black, Sandra E. & Spitz-Oener, Alexandra, 2007. "Explaining Women’s Success: Technological Change and the Skill Content of Women’s Work," IZA Discussion Papers 2803, Institute for the Study of Labor (IZA).
- Black, Sandra E. & Spitz-Oener, Alexandra, 2007. "Explaining Women's Success: Technological Change and the Skill Content of Women's Work," ZEW Discussion Papers 07-033, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
- James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dietrich, Karl).
If references are entirely missing, you can add them using this form.