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CSTA: Google Surveying Educators On Unconscious Biases of Students, Parents

theodp writes: According to a Computer Science Teachers Association tweet, Google is reportedly asking educators to assess the unconscious bias of students and their parents for the search giant. "We are in the early stages of learning how unconscious bias plays out in schools, and who would benefit most from bias busting materials," begins the linked-to 5-page Google Form, which sports a ub-edu@google.com email address, but lists no contact name. "This survey should take 15 minutes to complete, and your responses are confidential, meaning that your feedback will not be attributed to you and the data will only be used in aggregate form." The form asks educators to "list the names of organizations, tools, and resources that you have used to combat unconscious bias," which is defined as "the attitudes or stereotypes that affect our understanding, actions, and decisions in an unconscious manner." A sample question: "Who do you think would benefit most from unconscious bias training at your school (or program)? Rank the following people in order (1=would most benefit to 5=would benefit least) training: Student, Parent (or guardian), Teacher (or educator), Guidance counselor, Principal." Google deflected criticism for its lack of women techies in the past by blaming parents' unconscious biases for not steering their girls to study computer science, suggesting an intervention was needed. "Outreach programs," advised Google, "should include a parent education component, so that parents learn how to actively encourage their daughters."

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  1. Re:Yeah, blame the parents by Anonymous Coward · · Score: 0, Redundant

    girls and boys are different

    That's fairly obvious

    and there is nothing wrong with an unequal number of men and women in particular jobs

    That judgement value is a non sequitur from just the above. It requires the assumption that their differences are significant to influence the numbers at the particular job at hand, which in the case of science and tech is basically an unproven assumption.