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05/18/2023
Balancing Test Accuracy and Security in Computerized Adaptive Testing
Computerized adaptive testing (CAT) is a form of personalized testing th...
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09/09/2021
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
We study the problem of generating arithmetic math word problems (MWPs) ...
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07/24/2020
Context-Aware Attentive Knowledge Tracing
Knowledge tracing (KT) refers to the problem of predicting future learne...
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05/25/2020
qDKT: Question-centric Deep Knowledge Tracing
Knowledge tracing (KT) models, e.g., the deep knowledge tracing (DKT) mo...
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01/28/2020
MSE-Optimal Neural Network Initialization via Layer Fusion
Deep neural networks achieve state-of-the-art performance for a range of...
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05/21/2019
IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election
The 2016 United States presidential election has been characterized as a...
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06/22/2018
Personalized Thread Recommendation for MOOC Discussion Forums
Social learning, i.e., students learning from each other through social ...
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06/09/2018
An Estimation and Analysis Framework for the Rasch Model
The Rasch model is widely used for item response analysis in application...
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06/09/2018
Linear Spectral Estimators and an Application to Phase Retrieval
Phase retrieval refers to the problem of recovering real- or complex-val...
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02/01/2018
PhaseLin: Linear Phase Retrieval
Phase retrieval deals with the recovery of complex- or real-valued signa...
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02/01/2018
Linearized Binary Regression
Probit regression was first proposed by Bliss in 1934 to study mortality...
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03/24/2017
Data-Mining Textual Responses to Uncover Misconception Patterns
An important, yet largely unstudied, problem in student data analysis is...
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02/16/2017
Insense: Incoherent Sensor Selection for Sparse Signals
Sensor selection refers to the problem of intelligently selecting a smal...
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01/18/2015
Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions
While computer and communication technologies have provided effective me...
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12/18/2014
Quantized Matrix Completion for Personalized Learning
The recently proposed SPARse Factor Analysis (SPARFA) framework for pers...
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12/18/2014
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Machine learning offers novel ways and means to design personalized lear...
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12/19/2013
Time-varying Learning and Content Analytics via Sparse Factor Analysis
We propose SPARFA-Trace, a new machine learning-based framework for time...
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05/08/2013
Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data
Modern machine learning methods are critical to the development of large...
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03/22/2013
