EduData and EduKTM Open-Source Knowledge Tracing Libraries

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Description

The survey's authors released two open-source algorithm libraries: "EduData that enables the download and preprocessing of KT-related datasets, and EduKTM that provides an extensible and unified implementation of existing mainstream KT models." They catalogue twelve public datasets (Table II), including ASSISTments2009 to 2017, Junyi, Eedi2020, Statics2011, EdNet-KT1 to KT4 and CodeWorkout; EdNet is the largest, with 131,441,538 learning records from 784,309 students.

Design Implications

Context

Requirements

• Python-accessible public KT datasets, downloaded and preprocessed through EduData
• Contributors following the provided guidelines to add models to EduKTM, which the authors say will always be under development

Constraints

• The authors do not provide performance evaluation of the baselines on the benchmark datasets, because experimental settings differ and prediction accuracy does not directly reflect practical effectiveness
• The original version of ASSISTments2009 had three serious problems that lead to unreliable experimental results, fixed in the latest version

Target Learners

• Researchers and practitioners implementing or comparing knowledge tracing models

Target Learning Goals

• Selecting appropriate KT models for specific application scenarios

Affordances

• Knowledge Tracing Model Taxonomy

Claims

Related Elements

• Knowledge Tracing Learner Modeling Task
• Four large-scale real-world sequential knowledge tracing benchmark datasets used to evaluate Adaptive G-UKT
• Released learner performance prediction code and public dataset links

Examples

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Key Sources

• Shuanghong Shen, Qi Liu, Zhenya Huang, Yonghe Zheng, Minghao Yin, Minjuan Wang, and Enhong Chen. (2021). A Survey of Knowledge Tracing: Models, Variants, and Applications. https://arxiv.org/abs/2105.15106

Page metadata

Field	Value
type	element
id	edudata-and-eduktm-libraries
title	EduData and EduKTM Open-Source Knowledge Tracing Libraries
description	The survey's authors released two open-source algorithm libraries: "EduData that enables the download and preprocessing of KT-related datasets, and EduKTM that provides an extensible and unified implementation of exis...
status	review
canonical	True
generated	by claude/unspecified on 2026-09-24
trust	unverified — no one has confirmed this page's content
sources	1 — shuanghong-shen-2021

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