Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
This lecture discusses implicit bias in science education, focusing on the impact of gender stereotypes on academic performance. It explores the relationship between implicit gender-science stereotyping and national sex differences in science performance using 2003 TIMSS data. The slides present data on the percentage of women engineering graduates in different countries and highlight the challenges faced by women in engineering. The lecture also delves into the dynamics of war and national differences in science performance, emphasizing the need to address implicit bias in educational settings.