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Knowledge Tracing

11 papers with code · Miscellaneous

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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

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

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

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

Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction

6 Jun 2018ckyeungac/ADM2017

The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community.

KNOWLEDGE TRACING