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Trivedi, Shubhendu; Pardos, Zachary A.; Sarkozy, Gabor N.; Heffernan, Neil T. – International Educational Data Mining Society, 2012
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…
Descriptors: Homogeneous Grouping, Prediction, Tutors, Cluster Grouping
Mays, Jessica E. – ProQuest LLC, 2015
This case study examined the impact of a site-specific intervention for at-risk students in a small rural elementary school in the foothills of North Carolina. The research site uses a small homogenous class setting as a basis for accelerating academic growth for students who are considered at-risk in literacy based on the state-required literacy…
Descriptors: Case Studies, Homogeneous Grouping, Small Classes, Small Group Instruction
Canada, Patricia Oxendine – ProQuest LLC, 2012
In response to the mandates of No Child Left Behind, (NCLB), educators across the country struggle to close the gaps between males and females. Some of the physiological differences existing between the male and female brain suggest support for single-gender instruction, which is on the rise within this country as well as other parts of the world.…
Descriptors: Scores, Comparative Analysis, Comparative Testing, Gender Differences

Joslin, Elisabeth H.; Carsrud, Alan L. – Educational and Psychological Measurement, 1972
Descriptors: Comparative Analysis, Computer Programs, Data Analysis, Homogeneous Grouping