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Learning Knowledge Tracing

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Evidence · 1 claim (1 mixed) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

LKT is a logistic-regression learner-modeling framework released by Philip I. Pavlik and colleagues as an R package and as a component for the LearnSphere learning-analytics platform.

Components

  • LKT R package and LearnSphere component for creating and comparing logistic regression learner models: The LearnSphere LKT component implements the LKT framework as a unified system permitting easier creation and comparison of logistic regression models of correctness, and the authors released LKT as an easy-to-use R package. Table I summarizes 25 features currently supported in the LearnSphere and the R package, indicating whether each is adaptive and/or dynamic and how many nonlinear parameters it requires. (Philip I. Pavlik et al. (2021))

Claims

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Key Sources

  • Philip I. Pavlik, Jr., Luke G. Eglington, and Leigh M. Harrell-Williams. (2021). Logistic Knowledge Tracing: A Constrained Framework for Learner Modeling. IEEE Transactions on Learning Technologies. https://doi.org/10.1109/TLT.2021.3128569
Page metadata
Field Value
type product
id learning-knowledge-tracing
title Learning Knowledge Tracing
description LKT is a logistic-regression learner-modeling framework released by Philip I.
status review
moved_from element/lkt-r-package-learnsphere-component
product_kind software
generated by process:sweep-kinds on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — philip-i-pavlik-2021

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