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Yuqi Gu; Elena A. Erosheva; Gongjun Xu; David B. Dunson – Grantee Submission, 2023
Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…
Descriptors: Multivariate Analysis, Item Response Theory, Bayesian Statistics, Models
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VanDerHeyden, Amanda M. – Exceptional Children, 2011
Perhaps the greatest value of response to intervention (RTI) as a decision framework is that it brings attention to variables (e.g., mastery of prerequisite skills, frequency of instructional corrective feedback, reinforcement schedules for correct responding) that if changed might make a meaningful difference for students (e.g., child rate of…
Descriptors: Feedback (Response), Intervention, Classification, Response to Intervention
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Rossi, Robert J.; Wolman, Jean M. – Journal of Special Education, 1988
Project MAP (Model Accounting Plan) is a demographic accounting model for monitoring the transitions of special education students through the school system and after graduation. MAP predicts the students' paths, considering the student's age, handicap, and instructional setting. Discussed are a pilot test and the model's potential benefits and…
Descriptors: Disabilities, Elementary Secondary Education, Expectation, Models
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers