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Direct linkPavlik, Philip I., Jr.; Eglington, Luke G.; Zhang, Liang – Grantee Submission, 2021
We describe a data mining pipeline to convert data from educational systems into knowledge component (KC) models. In contrast to other approaches, our approach employs and compares multiple model search methodologies (e.g., sparse factor analysis, covariance clustering) within a single pipeline. In this preliminary work, we describe our approach's…
Descriptors: Information Retrieval, Knowledge Management, Models, Research Methodology
