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Download full textLucy, Li; Demszky, Dorottya; Bromley, Patricia; Jurafsky, Dan – AERA Open, 2020
Cutting-edge data science techniques can shed new light on fundamental questions in educational research. We apply techniques from natural language processing (lexicons, word embeddings, topic models) to 15 U.S. history textbooks widely used in Texas between 2015 and 2017, studying their depiction of historically marginalized groups. We find that…
Descriptors: Textbooks, United States History, History Instruction, Textbook Content
Bailes, Lauren P.; Guthery, Sarah – AERA Open, 2020
Recent scholarship highlights the many benefits of diversity among principals, including improved teacher retention and student outcomes. We use survival analysis to assess the probability and time to promotion for 4,689 assistant principals in Texas from 2001 to 2017. We find that race and gender are associated with the probability of promotion…
Descriptors: Principals, Gender Bias, Racial Bias, Promotion (Occupational)
