335 citations · 365 across the 17 of their papers we have counts for
4 papers · 1 filter
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics
Zichao Wang, Yi Gu, Andrew Lan +1
We propose VarFA, a variational inference factor analysis framework that extends existing factor analysis models for educational data mining to efficiently output uncertainty estim…
An Estimation and Analysis Framework for the Rasch Model
Andrew S. Lan, Mung Chiang, Christoph Studer
The Rasch model is widely used for item response analysis in applications ranging from recommender systems to psychology, education, and finance. While a number of estimators have…
Linearized Binary Regression
Andrew S. Lan, Mung Chiang, Christoph Studer
Probit regression was first proposed by Bliss in 1934 to study mortality rates of insects. Since then, an extensive body of work has analyzed and used probit or related binary regr…
Data-Mining Textual Responses to Uncover Misconception Patterns
Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk
An important, yet largely unstudied, problem in student data analysis is to detect misconceptions from students' responses to open-response questions. Misconception detection enabl…