An Evaluation of Single and Mixed Gender Computer Science Classes
Discussions 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.
|Date of creation:||Jul 2007|
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- 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.
- 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.
- 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.
- James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294. Full references (including those not matched with items on IDEAS)
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