Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Badran, Yahya, Preisach, Christine |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Addressing Label Leakage in Knowledge Tracing Models
par: Badran, Yahya, et autres
Publié: (2024)
par: Badran, Yahya, et autres
Publié: (2024)
Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
par: Badran, Yahya, et autres
Publié: (2025)
par: Badran, Yahya, et autres
Publié: (2025)
Sparse Binary Representation Learning for Knowledge Tracing
par: Badran, Yahya, et autres
Publié: (2025)
par: Badran, Yahya, et autres
Publié: (2025)
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
par: Zhou, Hao, et autres
Publié: (2025)
par: Zhou, Hao, et autres
Publié: (2025)
Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
par: Chen, Zhiyu, et autres
Publié: (2024)
par: Chen, Zhiyu, et autres
Publié: (2024)
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
par: Kuo, Ming, et autres
Publié: (2024)
par: Kuo, Ming, et autres
Publié: (2024)
Differentiating Student Feedbacks for Knowledge Tracing
par: Cui, Jiajun, et autres
Publié: (2022)
par: Cui, Jiajun, et autres
Publié: (2022)
Temporal Graph Memory Networks For Knowledge Tracing
par: Gad, Seif, et autres
Publié: (2024)
par: Gad, Seif, et autres
Publié: (2024)
Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
par: Zhang, Miao, et autres
Publié: (2024)
par: Zhang, Miao, et autres
Publié: (2024)
Advancing Knowledge Tracing by Exploring Follow-up Performance Trends
par: Liu, Hengyu, et autres
Publié: (2025)
par: Liu, Hengyu, et autres
Publié: (2025)
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
par: Sun, Xinjie, et autres
Publié: (2025)
par: Sun, Xinjie, et autres
Publié: (2025)
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing
par: Fu, Lingyue, et autres
Publié: (2025)
par: Fu, Lingyue, et autres
Publié: (2025)
KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education
par: Kim, Woojin, et autres
Publié: (2026)
par: Kim, Woojin, et autres
Publié: (2026)
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
par: Cui, Jiajun, et autres
Publié: (2023)
par: Cui, Jiajun, et autres
Publié: (2023)
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method
par: Kose, Shubham, et autres
Publié: (2025)
par: Kose, Shubham, et autres
Publié: (2025)
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
par: Cui, Jiajun, et autres
Publié: (2024)
par: Cui, Jiajun, et autres
Publié: (2024)
Fair Knowledge Tracing in Second Language Acquisition
par: Tang, Weitao, et autres
Publié: (2024)
par: Tang, Weitao, et autres
Publié: (2024)
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
par: Zhang, Hengyuan, et autres
Publié: (2024)
par: Zhang, Hengyuan, et autres
Publié: (2024)
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies
par: Hayat, Khizar, et autres
Publié: (2025)
par: Hayat, Khizar, et autres
Publié: (2025)
Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
par: Duan, Zhangqi, et autres
Publié: (2025)
par: Duan, Zhangqi, et autres
Publié: (2025)
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
par: Zhang, Hengyuan, et autres
Publié: (2024)
par: Zhang, Hengyuan, et autres
Publié: (2024)
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing
par: Kim, JongWoo, et autres
Publié: (2024)
par: Kim, JongWoo, et autres
Publié: (2024)
Tracing Mathematical Proficiency Through Problem-Solving Processes
par: Park, Jungyang, et autres
Publié: (2025)
par: Park, Jungyang, et autres
Publié: (2025)
Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning
par: Taib, Musa, et autres
Publié: (2024)
par: Taib, Musa, et autres
Publié: (2024)
Epicure: Multidimensional Flavor Structure in Food Ingredient Embeddings
par: Radzikowski, Jakub, et autres
Publié: (2026)
par: Radzikowski, Jakub, et autres
Publié: (2026)
Let Me Try Again: Examining Replay Behavior by Tracing Students' Latent Problem-Solving Pathways
par: Zhang, Shan, et autres
Publié: (2026)
par: Zhang, Shan, et autres
Publié: (2026)
Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts
par: Zuin, Gianlucca, et autres
Publié: (2025)
par: Zuin, Gianlucca, et autres
Publié: (2025)
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
par: Zhao, Chen, et autres
Publié: (2024)
par: Zhao, Chen, et autres
Publié: (2024)
Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach
par: Fenigstein, Ziv, et autres
Publié: (2026)
par: Fenigstein, Ziv, et autres
Publié: (2026)
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
par: Liu, Mingxuan, et autres
Publié: (2024)
par: Liu, Mingxuan, et autres
Publié: (2024)
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
par: Wang, Zhihao, et autres
Publié: (2024)
par: Wang, Zhihao, et autres
Publié: (2024)
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning
par: Weerts, Hilde, et autres
Publié: (2022)
par: Weerts, Hilde, et autres
Publié: (2022)
Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges
par: Varshney, Kush R.
Publié: (2023)
par: Varshney, Kush R.
Publié: (2023)
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
par: Shang, Tianqi, et autres
Publié: (2024)
par: Shang, Tianqi, et autres
Publié: (2024)
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs
par: Arun, Arvindh, et autres
Publié: (2023)
par: Arun, Arvindh, et autres
Publié: (2023)
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
par: Löfström, Tuwe, et autres
Publié: (2024)
par: Löfström, Tuwe, et autres
Publié: (2024)
A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
par: Trask, Thomas, et autres
Publié: (2024)
par: Trask, Thomas, et autres
Publié: (2024)
SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data
par: Yu, Ke, et autres
Publié: (2025)
par: Yu, Ke, et autres
Publié: (2025)
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
par: Gao, Xiaowei, et autres
Publié: (2023)
par: Gao, Xiaowei, et autres
Publié: (2023)
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
par: Deng, Wenlong, et autres
Publié: (2024)
par: Deng, Wenlong, et autres
Publié: (2024)
Documents similaires
-
Addressing Label Leakage in Knowledge Tracing Models
par: Badran, Yahya, et autres
Publié: (2024) -
Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
par: Badran, Yahya, et autres
Publié: (2025) -
Sparse Binary Representation Learning for Knowledge Tracing
par: Badran, Yahya, et autres
Publié: (2025) -
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
par: Zhou, Hao, et autres
Publié: (2025) -
Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
par: Chen, Zhiyu, et autres
Publié: (2024)