15 citations · 36 across the 5 of their papers we have counts for
6 papers
Attention Word Embedding
Shashank Sonkar, Andrew E. Waters, Richard G. Baraniuk
Word embedding models learn semantically rich vector representations of words and are widely used to initialize natural processing language (NLP) models. The popular continuous bag…
qDKT: Question-centric Deep Knowledge Tracing
Shashank Sonkar, Andrew E. Waters, Andrew S. Lan +2
Knowledge tracing (KT) models, e.g., the deep knowledge tracing (DKT) model, track an individual learner's acquisition of skills over time by examining the learner's performance on…
Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions
Andrew S. Lan, Divyanshu Vats, Andrew E. Waters +1
While computer and communication technologies have provided effective means to scale up many aspects of education, the submission and grading of assessments such as homework assign…
SPRITE: A Response Model For Multiple Choice Testing
Ryan Ning, Andrew E. Waters, Christoph Studer +1
Item response theory (IRT) models for categorical response data are widely used in the analysis of educational data, computerized adaptive testing, and psychological surveys. Howev…
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Andrew S. Lan, Christoph Studer, Andrew E. Waters +1
Machine learning offers novel ways and means to design personalized learning systems wherein each student's educational experience is customized in real time depending on their bac…
Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data
Andrew S. Lan, Christoph Studer, Andrew E. Waters +1
Modern machine learning methods are critical to the development of large-scale personalized learning systems that cater directly to the needs of individual learners. The recently d…