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Tashiro, Jenna; Parga, Daniela; Pollard, John; Talanquer, Vicente – Chemistry Education Research and Practice, 2021
Students' abilities to self-assess their understanding can influence their learning and academic performance. Different factors, such as performance level, have been shown to relate to student self-assessment. In this study, hierarchical linear modeling was used to identify factors and quantify their effects on the changes observed in chemistry…
Descriptors: Self Evaluation (Individuals), Change, Learner Engagement, Learning Activities
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Wood, J. Luke; Newman, Christopher B. – Urban Education, 2017
This research focuses on factors predicting faculty-student engagement for Black male collegians. In this study, the authors investigated whether students' perceptions of racial/gender stereotypes had a moderating effect on the determinants of engagement with faculty. The sample population was derived from 16 urban community colleges located…
Descriptors: Community Colleges, Two Year College Students, Two Year Colleges, Student Surveys
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López, Francesca A. – Teachers College Record, 2016
Background: Despite numerous educational reform efforts aimed at aggressively addressing achievement disparities, Latinos continue to underperform in school. In sharp contrast to the belief that the inordinate achievement disparities among Latino students stem from deficiencies, some researchers assert that culturally responsive teaching (CRT)…
Descriptors: Culturally Relevant Education, Hispanic American Students, Teaching Methods, Identification (Psychology)
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Hedges, Larry V.; Hedberg, E. C. – Evaluation Review, 2013
Background: Cluster-randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…
Descriptors: Correlation, Multivariate Analysis, Educational Experiments, Statistical Analysis