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Eric.ed.gov – Unconscious Bias in the Classroom: Evidence and Opportunities, 2017

eric.ed.gov har udgivet: The underrepresentation of women and racial and ethnic minorities in computer science (CS) and other fields of science, technology, engineering, and math (STEM) is a serious impediment to technological innovation as well as an affront to fundamental notions of fairness and equity. These gaps emerge in the early grades and tend to persist, if not widen, throughout the secondary and postsecondary years. The unconscious biases (UB) of teachers, school administrators, and fellow students may contribute meaningfully to the persistence of these gaps. Fortunately, a nascent literature on targeted interventions that directly address UB suggests there may be compelling opportunities to promote broader engagement in CS and STEM education and employment. The fields of neuroscience, social psychology, economics, and sociology articulate the many possible origins of UB and… Continue Reading

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Eric.ed.gov – The Effect of Summer on Value-Added Assessments of Teacher and School Performance

eric.ed.gov har udgivet: This study examines the effects of including the summer period on value-added assessments (VAA) of teacher and school performance at the early grades. The results indicate that 40-62% of the variance in VAA estimates originates from the summer period, depending on the outcome (i.e., reading or math achievement gains). Furthermore, when summer is omitted from the VAA model, 51-61% of the teachers and 58-61% of the schools change performance quintiles, with many changing 2-3 quintiles. Extensive statistical controls for student background and classroom and school context reduce the summer effect, but 36-47% of the teachers and 42-49% of the schools are still in different quintiles. Furthermore, besides misclassifying teachers and schools, the results show that including summer tends to bias VAA estimates against schools with concentrated poverty.… Continue Reading