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US 2014/0234822 A1Published application
System for co-clustering of student assessment data
AssigneeXerox Corporation
InventorsSharath Srinivas, Eric Scott Hamby, Robert M. Lofthus
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Abstract
A system and method for making use of formative assessment data collected is disclosed that identifies clusters of students and concurrently determines the characteristics of the student clusters. A decomposition of the data is performed with spectral theories of graphs and fuzzy logic algorithms to identify the clusters of students, clusters of assessment data and relationships between them. An actionable output is presented to teachers for the evaluation of educational progress.
Claims6
A system for educational assessment of students, comprising:
- a processor having a memory, wherein the processor has a clustering engine that includes a student identification module that identifies student clusters based on metadata having characteristics of students within each student cluster and is associated with a hierarchy of assessment data of one or more formative assessments, wherein the hierarchy of assessment data is related to different levels of demonstrated knowledge by students based on the formative assessments;
- a display module that compiles the metadata related to the student clusters and the assessment data clusters, and provides relationships between the student clusters and the assessment data clusters with the metadata to a visible medium in response to co-clustering of student data and assessment data.
Dependencies are inferred from the claim text.