AIM Research – Equity in Assessment for Large Undergraduate Courses
Speaker: Montserrat B. Valdivia Medinaceli, Graduate Research Assistant, Indiana University Bloomington
In this presentation, I aim to showcase the importance of using item bias detection methods to improve equity in assessment. Large undergraduate S.T.E.M. and Business courses use assessments as an indicator of progress and achievement, and assessments tend to be highly weighted in the course’s final grade. Therefore, the implications of the results of these assessments are highly impactful on students’ progress and perception of ability, particularly when students belong to minoritized groups. I will present the results of applying various differential item functioning statistics to compare more- and less-privileged groups in a course final exam at a Midwest four-year university. I hope the results of this analysis help initiate a conversation about fairness in assessment in large undergraduate courses.
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