我如何实施井上朝雄的基于劳动的评分和其他反种族主义评估策略

IF 0.1 4区 文学 0 LITERATURE
CEA CRITIC Pub Date : 2022-07-01 DOI:10.1353/cea.2022.0019
Marc C. Santos
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引用次数: 0

摘要

摘要:在回应井上的数据时,我看到了两个重要的启示。首先,井上的反种族主义评估举措,特别是在这种情况下基于劳动的评分,改善了所有学生的学习。采用基于劳动力的评分系统降低了所有种族人口的失败率。第二,反种族主义评估举措减少但并不能消除白人和非白人学生之间的结果差异。2正如Inoue所指出的,反种族歧视的教学法和评估方法不足以消除我们学生生活中资源和机会的不平等分配;SEAE(标准版美国英语)或DAD(主流学术话语)的不同经历;以及学生从结构上的白人教育体系中得到的不同支持、安慰和待遇。这些问题为我们拆除一个不断产生这些结构性种族主义结果的评估系统提供了起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How I Implemented Asao B. Inoue’s Labor-Based Grading and Other Antiracist Assessment Strategies
Abstract:In response to Inoue’s data, I see two important implications. First, Inoue’s antiracist assessment initiatives, specifically in this case labor-based grading, improve learning for all students. Adopting a labor-based grading system decreased failure rates for all racial demographics. Second, antiracist assessment initiatives reduce but do not eliminate outcome differences between White and non-White students.2 As Inoue notes, antiracist approaches to pedagogy and assessment offered are not sufficient to eradicate the unequal distribution of resources and opportunities in our students lives; the divergent experiences with SEAE (Standard Edited American English) or DAD (Dominant Academic Discourses); and the divergent support, comfort, and treatment students have received from a structurally White education system. These issues offer us starting points for dismantling an assessment system that continually produces these structurally racist outcomes.
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CEA CRITIC
CEA CRITIC LITERATURE-
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