pyKT is a python library build upon PyTorch to train deep learning based knowledge tracing models.

model

Rethinking and Improving Student Learning and Forgetting Processes for Attention Based Knowledge Tracing Models — Read More

Rethinking and Improving Student Learning and Forgetting Processes for Attention Based Knowledge Tracing Models

We added LefoKT into our pyKT package.

16 Feb 2025

Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing — Read More

Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing

We added flucKT into our pyKT package.

16 Feb 2025

csKT: Addressing Cold-start Problem in Knowledge Tracing via Kernel Bias and Cone Attention — Read More

csKT: Addressing Cold-start Problem in Knowledge Tracing via Kernel Bias and Cone Attention

We added csKT into our pyKT package.

13 Jan 2025

Revisiting Knowledge Tracing: A Simple and Powerful Model — Read More

Revisiting Knowledge Tracing: A Simple and Powerful Model

We added reKT into our pyKT package.

19 Nov 2024

stableKT: Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases — Read More

stableKT: Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases

We added stableKT into our pyKT package.

19 Sep 2024

extraKT: Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation — Read More

extraKT: Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation

We added extraKT into our pyKT package.

19 Sep 2024

FoLiBiKT: Forgetting-aware Linear Bias for Attentive Knowledge Tracing — Read More

FoLiBiKT: Forgetting-aware Linear Bias for Attentive Knowledge Tracing

We added FoLiBiKT into our pyKT package.

09 Mar 2024

Dtransformer: Stable Knowledge Tracing with Diagnostic Transformer — Read More

Dtransformer: Stable Knowledge Tracing with Diagnostic Transformer

We added Dtransformer into our pyKT package.

09 Mar 2024

SparseKT:Towards Robust Knowledge Tracing Models via k-Sparse Attention — Read More

SparseKT:Towards Robust Knowledge Tracing Models via k-Sparse Attention

We added sparseKT into our pyKT package.

07 Jul 2023

simpleKT: a simple but tough-to-beat baseline for knowledge tracing — Read More

simpleKT: a simple but tough-to-beat baseline for knowledge tracing

We added simpleKT into our pyKT package.

06 Jul 2023

QIKT: Question-centric Interpretable Knowledge Tracing — Read More

QIKT: Question-centric Interpretable Knowledge Tracing

We added QIKT into our pyKT package.

05 Jul 2023

DIMKT: DIfficulty Matching Knowledge Tracing — Read More

DIMKT: DIfficulty Matching Knowledge Tracing

We added DIMKT into our pyKT package.

04 Jul 2023

RKT: relation-aware self-attention for knowledge tracing — Read More

RKT: relation-aware self-attention for knowledge tracing

We added RKT into our pyKT package.

03 Jul 2023

AT-DKT:Enhancing deep knowledge tracing with auxiliary tasks — Read More

AT-DKT:Enhancing deep knowledge tracing with auxiliary tasks

We added AT-DKT into our pyKT package.

02 Jul 2023

qDKT: Question-centric Deep Knowledge Tracing — Read More

qDKT: Question-centric Deep Knowledge Tracing

We added qDKT into our pyKT package.

13 Aug 2022

Deep-IRT: Deep Item Response Theory — Read More

Deep-IRT: Deep Item Response Theory

We added Deep-IRT into our pyKT package.

12 Aug 2022

SKVMN: Sequential Key-Value Memory Networks — Read More

SKVMN: Sequential Key-Value Memory Networks

We added SKVMN into our pyKT package.

25 Jul 2022

LPKT: Learning Process-consistent Knowledge Tracing — Read More

LPKT: Learning Process-consistent Knowledge Tracing

We added LPKT into our pyKT package.

14 Jul 2022

HawkesKT: Temporal Cross-Effects in Knowledge Tracing — Read More

HawkesKT: Temporal Cross-Effects in Knowledge Tracing

We added HawkesKT into our pyKT package.

05 Jul 2022

IEKT: Individual Estimation Knowledge Tracing — Read More

IEKT: Individual Estimation Knowledge Tracing

We added into our pyKT package.

28 Jun 2022