most citedDASKT: A Dynamic Affect Simulation Method for Knowledge Tracing

34 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

am-ELO: A Stable Framework for Arena-based LLM Evaluation

Zirui Liu, Jiatong Li, Yan Zhuang +5

Arena-based evaluation is a fundamental yet significant evaluation paradigm for modern AI models, especially large language models (LLMs). Existing framework based on ELO rating sy…

cs.AI2025

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models

Yi Zhan, Qi Liu, Weibo Gao +5

Personalized programming tutoring, such as exercise recommendation, can enhance learners' efficiency, motivation, and outcomes, which is increasingly important in modern digital ed…

cs.CL2025

Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context

Jianfang Chen, Kai Zhang, Aoran Gan +3

Knowledge Graph Completion (KGC) aims to infer missing information in Knowledge Graphs (KGs) to address their inherent incompleteness. Traditional structure-based KGC methods, whil…

cs.CY202534 cited

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing

Xinjie Sun, Kai Zhang, Qi Liu +4

Knowledge Tracing (KT) predicts future performance by modeling students' historical interactions, and understanding students' affective states can enhance the effectiveness of KT,…

cs.CY20241 cited

Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts

Xinjie Sun, Qi Liu, Kai Zhang +8

Cognitive diagnosis (CD) aims to reveal students' proficiency in specific knowledge concepts. With the increasing adoption of intelligent education applications, accurately assessi…