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Xu, Jiajun; Dadey, Nathan – Applied Measurement in Education, 2022
This paper explores how student performance across the full set of multiple modular assessments of individual standards, which we refer to as mini-assessments, from a large scale, operational program of interim assessment can be summarized using Bayesian networks. We follow a completely data-driven approach in which no constraints are imposed to…
Descriptors: Bayesian Statistics, Learning Analytics, Scores, Academic Achievement

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