Unconscious Bias in the Classroom: Evidence and Opportunities

A report from Google about unconscious biases of educators, administrators, and students that can contribute to the persistence of underrepresentation of women and racial and ethnic minorities in CS and STEM more generally.

A great read to better understand and recognize unconscious bias in learning environments, and learn strategies for mitigating those biases.

Audience: 
Preschool
Lower elementary (K-2)
Upper elementary (3-5)
Middle school (6-8)
High school (9-12)
Girls
Youth of color
Learner Experience w/ CS & CT: 
Beginner
Some Practice
Experienced
Facilitator Type: 
Library staff member
Community member
Facilitator Experience w/ CS & CT: 
Beginner
Some Practice
Experienced
Type of Library: 
Public
School
Tribal
Special
Library Location Type: 
Rural
Suburban
Urban
Size: 
Very small (< 300 students, < 10k population)
Small (< 500 students, < 24k population)
Medium (< 750 students, < 99k population)
Large (< 1000 students, < 500k population)
Very large (1000+ students, 500k+ population)
Program Type & Frequency: 
In school time
Out of school time
Ongoing sessions
One time session
Requirements: 
Technology not required
No cost
Ready to Code Pathway Connection: 
Broadening participation
Resource Type: 
Strategies
Professional development
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