Drawing on interviews with parents of public-school students in who joined learning pods for the 2020-21 school year, this paper argues that the COVID-19 pandemic may have had a narrowing effect on the worlds of children in ways that increase their socio-spatial isolation along vectors of race and class. Interviews with parents who started…

Learning a more distributed representation of the input feature space is a powerful method to boost the performance of a given predictor. Often this is accomplished by partitioning the data into homogeneous groups by clustering so that separate models could be trained on each cluster. Intuitively each such predictor is a better representative of…

The authors explored patterns of appraising tests in a large sample of 1st-year college students. Cluster analysis was used to identify homogeneous groups of 1st-year students who shared similar patterns of cognitive appraisals about testing. The authors internally validated findings with an independent sample from the same population of students…