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The Mismeasure of Students: Using Item Response Theory Instead of Traditional...
Imagine for a second that you’re teaching a math remediation course full of fourth graders. You’ve just administered a test with 10 questions. Of those 10 questions, two questions are trivial, two are...
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Parameter Recovery
1. Introduction Providing students with good study recommendations begins with understanding what they already know. At Knewton, we’re combining existing work on psychometrics and large scale machine...
View ArticleKu Pima: To Measure
Trivia: Ku Pima means To Measure in the Xitsonga Language An Analytics (Data Science) team is made up of engineers/scientists with a wide array of skills. This results from the nature of the goals the...
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Student Latent State Estimation with the Kalman Filter
The Kalman filter is an algorithm that estimates the values of unknown, or latent, variables from a series of noisy measurements taken over time. The Kalman filter has numerous applications in finance...
View ArticleData Visualizations for Model Validation
In order to provide students with sensible, targeted recommendations, the Knewton platform uses a variety of statistical models to track and interpret student progress. These models regularly undergo...
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Latent Skill Embedding
In this post, we explore a probabilistic model of student learning and assessment that can be used to recommend personalized lesson sequences. A student using Knewton-powered products currently...
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