Session Summary

Innovative Approaches to Modeling Educational Data

Mon, April 12, 11:10am to 12:40pm EDT (11:10am to 12:40pm EDT), Division D, Division D - Section 2 Paper and Symposium Sessions

Session Type: Paper Session

Abstract

This session discusses innovative approaches to analyzing educational data. The papers in this session discuss advanced statistical models and fitting methods for analyzing complex data. Latent Dirichlet Allocation, Cross-classified random effects modeling, Hidden Markov modeling, L-moments theory and their utility for analyzing educational data are discussed.

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