Model List

Here is a list of implemented models in EduStudio.

If you are seeking comprehensive access to all the literature in this field, we recommend referring to the ecosystem repository we have provided: Awesome-Student-Cognitive-Modeling.

Cognitive Diagnosis

Status

Name

Published

Paper

✔️

IRT

-

Item response theory

✔️

MIRT

-

Multidimensional item response theory models

✔️

DINA

JEBS 2009

Dina model and parameter estimation: A didactic

✔️

NCDM

AAAI 2020

Neural cognitive diagnosis for intelligent education systems

✔️

NCDM+(CNCD-Q)

AAAI 2020

Neural cognitive diagnosis for intelligent education systems

✔️

IRR

IJCAI 2021

Item Response Ranking for Cognitive Diagnosis

✔️

ECD

KDD 2021

Modeling Context-aware Features for Cognitive Diagnosis in Student Learning

✔️

RCD

SIGIR 2021

RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems

✔️

CDGK

CIKM 2021

Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis

✔️

MGCD

ICDM 2021

Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective

✔️

CNCD-F

TKDE 2022

Neuralcd: A general framework for cognitive diagnosis

✔️

KaNCD

TKDE 2022

Neuralcd: A general framework for cognitive diagnosis

✔️

HierCDF

KDD 2022

HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework

✔️

KSCD

CIKM 2022

Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms

✔️

CDMFKC

CIKM 2022

Cognitive Diagnosis Focusing on Knowledge Concepts

✔️

DCD

NeurIPS 2023

Disentangling Cognitive Diagnosis with Limited Exercise Labels

✔️

FairCD

SCIS 2023

Understanding and Improving Fairness in Cognitive Diagnosis

Knowledge Tracing

Status

Name

Published

Paper

✔️

DKT

NIPS 2015

Deep knowledge tracing

✔️

DKT+

L@S 2018

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

✔️

DKT_DSC

ICDM 2018

Deep knowledge tracing and dynamic student classification for knowledge tracing

✔️

Deep-IRT

EDM 2019

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

✔️

KQN

LAK 2019

Knowledge query network for knowledge tracing: How knowledge interacts with skills

✔️

IEKT

SIGIR 2021

Tracing Knowledge State with Individual Cognition and Acquisition Estimation

✔️

CL4KT

WWW 2022

Contrastive learning for knowledge tracing

✔️

QIKT

AAAI 2023

Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations

✔️

DIMKT

SIGIR 2022

Assessing Student’s Dynamic Knowledge State by Exploring the Question Difficulty Effect

✔️

DKVMN

WWW 2017

Dynamic Key-Value Memory Networks for Knowledge Tracing

✔️

SKVMN

SIGIR 2019

Knowledge Tracing with Sequential Key-Value Memory Networks

✔️

SAKT

EDM 2019

A self-attentive model for knowledge tracing

✔️

AKT

KDD 2020

Context-Aware Attentive Knowledge Tracing

✔️

CKT

SIGIR 2020

Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process

✔️

SAINT

L@S 2020

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

✔️

SAINT+

LAK 2021

SAINT+: Integrating Temporal Features for EdNet Correctness Prediction

✔️

ATKT

ACM MM 2021

Enhancing Knowledge Tracing via Adversarial Training

✔️

SimpleKT

ICLR2023

simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing

✔️

DTransformer

WWW 2023

Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer

✔️

DKTForget

WWW 2019

Augmenting Knowledge Tracing by Considering Forgetting Behavior

✔️

LPKT

KDD2021

Learning Process-consistent Knowledge Tracing

✔️

HawkesKT

WSDM 2021

Temporal cross-effects in knowledge tracing

✔️

CT-NCM

IJCAI 2022

Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach

✔️

LPKT-S

TKDE 2022

Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing

✔️

RKT

CIKM 2020

RKT: Relation-Aware Self-Attention for Knowledge Tracing.

✔️

GKT

WI 2019

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

✔️

EERNN

AAAI 2018

Exercise-enhanced sequential modeling for student performance prediction

✔️

EKT

TKDE 2019

EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction

✔️

qDKT

EDM 2020

qDKT: Question-centric Deep Knowledge Tracing