How can bias affect assessment results, and what practices help reduce it?

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Multiple Choice

How can bias affect assessment results, and what practices help reduce it?

Explanation:
Bias in assessment shows up when test content, language, or scoring implicitly favors some groups over others. That can tilt scores, making them reflect cultural background or language proficiency rather than true knowledge or ability, which undermines fairness and validity. To counter this, use multiple measures of student learning rather than relying on a single test score; combine exams with performance tasks, portfolios, observations, and other formative data to build a more complete picture. Design items that are culturally responsive: choose contexts, names, and scenarios familiar to diverse students; use clear, straightforward language and provide appropriate language supports or translations so meaning isn’t lost. Clear rubrics and standardized scoring reduce the chance that judgment is biased. Regular bias reviews, field testing with diverse groups, and ongoing item analyses help detect and fix biased content before it affects decisions. By combining these practices, assessments can more accurately reflect students’ true learning across backgrounds.

Bias in assessment shows up when test content, language, or scoring implicitly favors some groups over others. That can tilt scores, making them reflect cultural background or language proficiency rather than true knowledge or ability, which undermines fairness and validity. To counter this, use multiple measures of student learning rather than relying on a single test score; combine exams with performance tasks, portfolios, observations, and other formative data to build a more complete picture. Design items that are culturally responsive: choose contexts, names, and scenarios familiar to diverse students; use clear, straightforward language and provide appropriate language supports or translations so meaning isn’t lost. Clear rubrics and standardized scoring reduce the chance that judgment is biased. Regular bias reviews, field testing with diverse groups, and ongoing item analyses help detect and fix biased content before it affects decisions. By combining these practices, assessments can more accurately reflect students’ true learning across backgrounds.

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