This EAGER project aims to conduct a study designed to operationalize a culturally responsive computing framework, from theory to empirical application, by exploring what factors can be identified and later used to develop items for an instrument to assess youths' self-efficacy and self-perceptions in computing and technology-related fields and careers.
This project is conducting an empirical analysis of NAEP assessment items in science to determine whether evidence supports the hypothesis that standardized tests capture only a limited amount of student knowledge because of their cultural background. The investigator will create a model of test design more likely to extract student knowledge from students of varied cultures by expanding items’ content. The study will examine the experience of American Indian groups, Alaska Natives, and Pacific Islanders.
This study examines ways that teacher-level factors (including teacher background variables and instructional practices) and student-level factors (such as self-rated mathematics interest and proficiency), and interactions among these factors, are associated with American Indian/Alaska native (AI/AN) student academic achievement in middle grades mathematics. The ultimate goal is to identify malleable factors that, if changed, could improve teachers' practices and AI/AN student achievement in mathematics.
This project will explore how a nationally implemented professional development model is applied in two distinct Indigenous communities, the impact the model has on teacher practice in Native-serving classrooms, and the model's capacity to promote the integration of culturally responsive approaches to STEM teaching.