Knowledge Tracing

26 papers with code • 0 benchmarks • 1 datasets

Knowledge Tracing is the task of modelling student knowledge over time so that we can accurately predict how students will perform on future interactions. Improvement on this task means that resources can be suggested to students based on their individual needs, and content which is predicted to be too easy or too hard can be skipped or delayed.

Source: Deep Knowledge Tracing

Datasets


Greatest papers with code

Deep Knowledge Tracing

chrispiech/DeepKnowledgeTracing NeurIPS 2015

Knowledge tracing---where a machine models the knowledge of a student as they interact with coursework---is a well established problem in computer supported education.

Knowledge Tracing

EdNet: A Large-Scale Hierarchical Dataset in Education

riiid/ednet 6 Dec 2019

With advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of Interactive Educational Systems (IESs), data-driven approach has become a common recipe for various tasks such as knowledge tracing and learning path recommendation.

Hierarchical structure Knowledge Tracing

DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills

jilljenn/ktm 14 May 2019

In this article, we first frame the research problem of optimizing an adaptive and personalized spaced repetition scheduler when memorization concerns the application of underlying multiple skills.

Knowledge Tracing

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

jilljenn/ktm 8 Nov 2018

Knowledge tracing is a sequence prediction problem where the goal is to predict the outcomes of students over questions as they are interacting with a learning platform.

Knowledge Tracing Latent Variable Models

Deep Factorization Machines for Knowledge Tracing

jilljenn/ktm WS 2018

This paper introduces our solution to the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM).

Knowledge Tracing Language Acquisition

Deep Factorization Machines for Knowledge Tracing

jilljenn/ktm 1 May 2018

This paper introduces our solution to the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM).

Knowledge Tracing Language Acquisition

Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization

ckyeungac/deep-knowledge-tracing-plus 6 Jun 2018

In recent years, a recurrent neural network model called deep knowledge tracing (DKT) has been proposed to handle the knowledge tracing task and literature has shown that DKT generally outperforms traditional methods.

Knowledge Tracing

pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models

CAHLR/pyBKT 2 May 2021

Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS).

Knowledge Tracing

Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation

Knewton/edm2016 8 Apr 2016

Estimating student proficiency is an important task for computer based learning systems.

Knowledge Tracing

Context-Aware Attentive Knowledge Tracing

arghosh/AKT 24 Jul 2020

We also conduct several case studies and show that AKT exhibits excellent interpretability and thus has potential for automated feedback and personalization in real-world educational settings.

Knowledge Tracing