Lecture

Social Identity and Learning

Related lectures (32)

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

Implicit Bias: Gender Stereotypes

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

Gender Impact in Engineering Education

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

Implicit Bias in Academic Feedback

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

Implicit Bias Awareness: What's the Problem?

Delves into implicit bias training effectiveness, gender stereotypes, and leadership positions.

Gender Impact in Engineering Education

Explores the impact of gender on engineering students' group work experiences, emphasizing the need to address implicit biases and stereotypes.

Ethical Engineering: Learning and Bias

Covers motivation, bias, stress, and learning routines in education, emphasizing the impact of social identity and unconscious biases.

Overcoming Implicit Biases: Recognize, Avoid, Act

Explores strategies to recognize and overcome implicit biases through controlled cognition and breaking stereotypical associations.

Manifestations of Implicit Bias

Delves into implicit bias manifestations, gender perception impact, traits in job interviews, team collaboration, and self-fulfilling prophecy.

Recognizing and Avoiding Implicit Biases

Delves into implicit biases and gender stereotypes affecting leadership representation.

Implicit Biases: Recognizing and Avoiding

Explores implicit biases, focusing on recognizing and avoiding them through the Implicit Association Test (IAT).

Gender Impact in Engineering Education

Delves into the impact of gender on engineering education, discussing recruitment challenges, token representation, and implicit biases.

Implicit Bias in Science Education

Explores implicit bias in science education and gender stereotypes in academic performance.

Understanding Generalization: Implicit Bias & Optimization

Explores the trade-off between complexity and risk in machine learning models, the benefits of overparametrization, and the implicit bias of optimization algorithms.

Avoiding Implicit Bias in Recruitment (Part 2)

Discusses strategies to avoid biases in recruitment processes and prevent stereotypes from influencing hiring decisions.

Bias and Stereotypes in Learning Environments

Delves into biases and stereotypes in learning environments, emphasizing strategies to reduce biases and enhance learning outcomes.

Reducing Bias in Education

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

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

Gradient Descent on Two-Layer ReLU Neural Networks

Analyzes gradient descent on two-layer ReLU neural networks, exploring global convergence, regularization, implicit bias, and statistical efficiency.

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