Cover Image

A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Hengyuan, Liu, Zitao, Shang, Chenming, Li, Dawei, Jiang, Yong
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
by: Zhang, Hengyuan, et al.
Published: (2024)

Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
by: Chen, Zhiyu, et al.
Published: (2024)

AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing
by: Fu, Lingyue, et al.
Published: (2025)

Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
by: Cui, Jiajun, et al.
Published: (2023)

Knowledge Tracing in Programming Education Integrating Students' Questions
by: Kim, Doyoun, et al.
Published: (2025)

Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
by: Kuo, Ming, et al.
Published: (2024)

Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities
by: Kuo, Ming-Mu, et al.
Published: (2024)

Understanding Multimodal Deep Neural Networks: A Concept Selection View
by: Shang, Chenming, et al.
Published: (2024)

Enhanced Interpretable Knowledge Tracing for Students Performance Prediction with Human understandable Feature Space
by: Minn, Sein, et al.
Published: (2025)

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
by: Fu, Lingyue, et al.
Published: (2024)

Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
by: Duan, Zhangqi, et al.
Published: (2025)

EduAgentQG: A Multi-Agent Workflow Framework for Personalized Question Generation
by: Jia, Rui, et al.
Published: (2025)

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
by: Liu, Mingxuan, et al.
Published: (2024)

Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
by: Cui, Jiajun, et al.
Published: (2024)

Addressing Label Leakage in Knowledge Tracing Models
by: Badran, Yahya, et al.
Published: (2024)

Explainable Few-shot Knowledge Tracing
by: Li, Haoxuan, et al.
Published: (2024)

AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
by: Zhou, Hao, et al.
Published: (2025)

Mamba4KT:An Efficient and Effective Mamba-based Knowledge Tracing Model
by: Cao, Yang, et al.
Published: (2024)

Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students
by: Bhattacharjee, Indronil, et al.
Published: (2025)

Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation
by: Chen, Dong, et al.
Published: (2025)

Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education
by: Zhao, Chengshuai, et al.
Published: (2024)

PICKT: Practical Interlinked Concept Knowledge Tracing for Personalized Learning using Knowledge Map Concept Relations
by: Lee, Wonbeen, et al.
Published: (2025)

Differentiating Student Feedbacks for Knowledge Tracing
by: Cui, Jiajun, et al.
Published: (2022)

MAGMA-Edu: Multi-Agent Generative Multimodal Framework for Text-Diagram Educational Question Generation
by: Wu, Zhenyu, et al.
Published: (2025)

Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method
by: Kose, Shubham, et al.
Published: (2025)

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
by: Sun, Xinjie, et al.
Published: (2025)

Incremental Residual Concept Bottleneck Models
by: Shang, Chenming, et al.
Published: (2024)

MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
by: Yong, Xixian, et al.
Published: (2024)

Temporal Graph Memory Networks For Knowledge Tracing
by: Gad, Seif, et al.
Published: (2024)

Advancing Knowledge Tracing by Exploring Follow-up Performance Trends
by: Liu, Hengyu, et al.
Published: (2025)

Trustworthy human-centric based Automated Decision-Making Systems
by: Cabrera, Marcelino, et al.
Published: (2023)

Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Models
by: Chen, Zitao, et al.
Published: (2024)

Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)
by: Yang, Kaiqi, et al.
Published: (2024)

CLST: Cold-Start Mitigation in Knowledge Tracing by Aligning a Generative Language Model as a Students' Knowledge Tracer
by: Jung, Heeseok, et al.
Published: (2024)

Future progress in artificial intelligence: A survey of expert opinion
by: Müller, Vincent C., et al.
Published: (2025)

Towards Robust Knowledge Tracing Models via k-Sparse Attention
by: Huang, Shuyan, et al.
Published: (2024)

Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge
by: Usmanova, Aida, et al.
Published: (2024)

Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models
by: Yang, Fengze, et al.
Published: (2025)

Mutual Wanting in Human--AI Interaction: Empirical Evidence from Large-Scale Analysis of GPT Model Transitions
by: Shang, HaoYang, et al.
Published: (2025)

A systematic review on expert systems for improving energy efficiency in the manufacturing industry
by: Ioshchikhes, Borys, et al.
Published: (2024)