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Knowledge Tracing

15 papers with code · Miscellaneous

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

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Greatest papers with code

Deep Knowledge Tracing

NeurIPS 2015 chrispiech/DeepKnowledgeTracing

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

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

14 May 2019jilljenn/ktm

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

8 Nov 2018jilljenn/ktm

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

WS 2018 jilljenn/ktm

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

1 May 2018jilljenn/ktm

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

KNOWLEDGE TRACING LANGUAGE ACQUISITION

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

8 Apr 2016Knewton/edm2016

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

KNOWLEDGE TRACING

EdNet: A Large-Scale Hierarchical Dataset in Education

6 Dec 2019riiid/ednet

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.

KNOWLEDGE TRACING

EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction

7 Jun 2019bigdata-ustc/ekt

In EERNN, we simply summarize each student's state into an integrated vector and trace it with a recurrent neural network, where we design a bidirectional LSTM to learn the encoding of each exercise's content.

KNOWLEDGE TRACING

Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory

26 Apr 2019ckyeungac/DeepIRT

Deep learning based knowledge tracing model has been shown to outperform traditional knowledge tracing model without the need for human-engineered features, yet its parameters and representations have long been criticized for not being explainable.

KNOWLEDGE TRACING

A Self-Attentive model for Knowledge Tracing

16 Jul 2019shalini1194/SAKT

Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities.

KNOWLEDGE TRACING