Exploratory Clusters of Student Technology Participation with Multivariate Regression Trees
作者： Peter Tyrel Skipper
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摘要: Author(s): Skipper, Peter Tyrel | Advisor(s): Paik-Schoenberg, Frederic R. Abstract: Classroom practices in regards to technology use may have a significant impact (positive or negative) on the effectiveness of curriculum. This paper looks at temporal frequency context high school statistics curriculum, and generates exploratory clusters that usage with multivariate regression trees. It examines both Euclidean distance two versions Kullback-Leibler divergence, ultimately discovering are more robust outliers lower cross-validated error.
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