Andrew S. Lan | DeepAI

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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) ...

6 Zichao Wang, et al. ∙

∙ 07/24/2020

Context-Aware Attentive Knowledge Tracing

Knowledge tracing (KT) refers to the problem of predicting future learne...

1 Aritra Ghosh, et al. ∙

∙ 05/25/2020

qDKT: Question-centric Deep Knowledge Tracing

Knowledge tracing (KT) models, e.g., the deep knowledge tracing (DKT) mo...

1 Shashank Sonkar, et al. ∙

∙ 01/28/2020

MSE-Optimal Neural Network Initialization via Layer Fusion

Deep neural networks achieve state-of-the-art performance for a range of...

0 Ramina Ghods, et al. ∙

∙ 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...

0 Indu Manickam, et al. ∙

∙ 06/22/2018

Personalized Thread Recommendation for MOOC Discussion Forums

Social learning, i.e., students learning from each other through social ...

0 Andrew S. Lan, et al. ∙

∙ 06/09/2018

An Estimation and Analysis Framework for the Rasch Model

The Rasch model is widely used for item response analysis in application...

0 Andrew S. Lan, et al. ∙

∙ 06/09/2018

Linear Spectral Estimators and an Application to Phase Retrieval

Phase retrieval refers to the problem of recovering real- or complex-val...

0 Ramina Ghods, et al. ∙

∙ 02/01/2018

PhaseLin: Linear Phase Retrieval

Phase retrieval deals with the recovery of complex- or real-valued signa...

0 Ramina Ghods, et al. ∙

∙ 02/01/2018

Linearized Binary Regression

Probit regression was first proposed by Bliss in 1934 to study mortality...

0 Andrew S. Lan, et al. ∙

∙ 03/24/2017

Data-Mining Textual Responses to Uncover Misconception Patterns

An important, yet largely unstudied, problem in student data analysis is...

0 Joshua J. Michalenko, et al. ∙

∙ 02/16/2017

Insense: Incoherent Sensor Selection for Sparse Signals

Sensor selection refers to the problem of intelligently selecting a smal...

0 Amirali Aghazadeh, et al. ∙

∙ 01/18/2015

Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions

While computer and communication technologies have provided effective me...

0 Andrew S. Lan, et al. ∙

∙ 12/18/2014

Quantized Matrix Completion for Personalized Learning

The recently proposed SPARse Factor Analysis (SPARFA) framework for pers...

1 Andrew S. Lan, et al. ∙

∙ 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...

1 Andrew S. Lan, et al. ∙

∙ 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...

0 Andrew S. Lan, et al. ∙

∙ 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...

0 Andrew S. Lan, et al. ∙

∙ 03/22/2013

Sparse Factor Analysis for Learning and Content Analytics

We develop a new model and algorithms for machine learning-based learnin...

0 Andrew S. Lan, et al. ∙