Implicit-association test

Related lectures (32)

Explores recognizing and preventing implicit biases in faculty recruitment processes, emphasizing gender equality strategies.

Covers Principal Components Analysis, a technique for dimensionality reduction and gene type analysis.

Explores strategies to reduce bias in education and highlights the impact of interventions on student outcomes.

Delves into implicit biases, their recognition, avoidance, effectiveness of training programs, and origins of gender stereotypes.

Delves into implicit biases and gender stereotypes affecting leadership representation.

Explores implicit bias, gradient descent, stability in optimization algorithms, and generalization bounds in machine learning.

Explores the geometry of surfaces in R², including implicit descriptions, critical points, and regular surfaces.

Examines the influence of gender on engineering students' group work experiences, focusing on biases, stereotypes, and inclusive teaching strategies.

Explores gender disparities in engineering education, including implicit bias and stereotype threat.

Analyzes the impact of implicit bias on academic feedback and student teamwork in university STEM programs.

Delves into the underrepresentation of women in leadership, addressing implicit bias, gender stereotypes, and social identity theory.

Covers the implicit functions theorem and its applications in defining functions implicitly and differentiating them.

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