Cover Image

Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kuo, Ming, Sarker, Shouvon, Qian, Lijun, Fu, Yujian, Li, Xiangfang, Dong, Xishuang
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

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

Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement
by: Sarker, Shouvon, et al.
Published: (2024)

Data Augmentation via Diffusion Model to Enhance AI Fairness
by: Blow, Christina Hastings, et al.
Published: (2024)

Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)
by: Sarker, Shouvon, et al.
Published: (2025)

Enhancing Learning Path Recommendation via Multi-task Learning
by: Nasrin, Afsana, et al.
Published: (2025)

Multi-task GINN-LP for Multi-target Symbolic Regression
by: Rajabu, Hussein, et al.
Published: (2025)

Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice
by: Ihugba, Benign John, 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)

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

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

Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
by: Chen, Zhiyu, 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)

A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
by: Zhang, Hengyuan, et al.
Published: (2024)

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

Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction
by: Abdul-Quddoos, Tariq, et al.
Published: (2025)

Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
by: Badran, Yahya, et al.
Published: (2025)

KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education
by: Kim, Woojin, et al.
Published: (2026)

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

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

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)

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

The Representational Status of Deep Learning Models
by: Duede, Eamon
Published: (2023)

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

Improving Academic Skills Assessment with NLP and Ensemble Learning
by: Huang, Xinyi, et al.
Published: (2024)

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

Fair Knowledge Tracing in Second Language Acquisition
by: Tang, Weitao, et al.
Published: (2024)

Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
by: Ma, Haiping, et al.
Published: (2024)

Deep Learning Opacity in Scientific Discovery
by: Duede, Eamon
Published: (2022)

Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning
by: Romano, Salvatore, et al.
Published: (2025)

DeepCreativity: Measuring Creativity with Deep Learning Techniques
by: Franceschelli, Giorgio, et al.
Published: (2022)

Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
by: Liu, Junyuan, et al.
Published: (2025)

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

Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
by: Peng, Xiyue, et al.
Published: (2024)

Copyright in Generative Deep Learning
by: Franceschelli, Giorgio, et al.
Published: (2021)

AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
by: VatandoustMohammadieh, Mrzieh, et al.
Published: (2024)

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

Deep Learning for Educational Data Science
by: Pinto, Juan D., et al.
Published: (2024)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
by: Chu, Yun-Wei, et al.
Published: (2022)

Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
by: Wu, Jiahui, et al.
Published: (2024)