Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

Measurement errors attributable to cultural issues are complex and challenging for educational assessments. We need assessment tests sensitive to the cultural heterogeneity of populations, and psychometric methods appropriate to address fairness and equity concerns. Built on the research of culturally responsive assessment, this dissertation…

To meet the needs of complex and/or underserved patient populations, health care professionals must possess diverse backgrounds, qualities, and skill sets. Holistic review has been used to diversify student admissions through examination of non-cognitive attributes of health care applicants. The objective of this study was to develop a novel…