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Zheng, Guoguo; Fancsali, Stephen E.; Ritter, Steven; Berman, Susan R. – Journal of Learning Analytics, 2019
If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments used for accountability purposes. The present work scales up and extends predictive models of math…
Descriptors: Formative Evaluation, Predictor Variables, Summative Evaluation, Scores
Alegrado, Alenamie; Winsler, Adam – Journal of Research in Music Education, 2020
Researchers attempting to show that music has positive effects on children need to understand and control for preexisting differences between those who do and do not select into musical participation in the first place. Within a large-scale, communitywide, prospective, longitudinal study of predominantly low-income, ethnically diverse students (N…
Descriptors: Music Education, Student Characteristics, Course Selection (Students), Elective Courses