2026
Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues
Shuyan Huang, Alexander Scarlatos, Jaewook Lee, Andrew Lan
21st BEA workshop at ACL 2026
An interpretable difficulty-aware conversational KT framework built upon LLMs, which explicitly models students' abilities and the difficulties of tutor-posed tasks turn by turn.
Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues
Shuyan Huang, Alexander Scarlatos, Jaewook Lee, Andrew Lan
21st BEA workshop at ACL 2026
An interpretable difficulty-aware conversational KT framework built upon LLMs, which explicitly models students' abilities and the difficulties of tutor-posed tasks turn by turn.
COMA: A Collaborative Multi-Role Agent Framework for Automated Lesson Plan Generation
Xiaoli Zeng, Ying Zheng, Shuyan Huang, Zitao Liu, Mi Tian, Mingliang Hou, Jiaqi Zheng, Wenzhou Dou
The Web Conference (WWW) 2026
A multi-agent framework that leverages collaborative roles to automate the generation of high-quality lesson plans.
COMA: A Collaborative Multi-Role Agent Framework for Automated Lesson Plan Generation
Xiaoli Zeng, Ying Zheng, Shuyan Huang, Zitao Liu, Mi Tian, Mingliang Hou, Jiaqi Zheng, Wenzhou Dou
The Web Conference (WWW) 2026
A multi-agent framework that leverages collaborative roles to automate the generation of high-quality lesson plans.
2025
Knowledge-enhanced large language models for automatic lesson plan generation
Ying Zheng*, Shuyan Huang*, Xiaoli Zeng, Yaying Huang, Zitao Liu, Weiqi Luo (* equal contribution)
Nature Humanities and Social Sciences Communications 2025
Enhancing large language models with educational domain knowledge to improve the accuracy of generated lesson plans.
Knowledge-enhanced large language models for automatic lesson plan generation
Ying Zheng*, Shuyan Huang*, Xiaoli Zeng, Yaying Huang, Zitao Liu, Weiqi Luo (* equal contribution)
Nature Humanities and Social Sciences Communications 2025
Enhancing large language models with educational domain knowledge to improve the accuracy of generated lesson plans.
Dual-attentional time-aware fusion networks for knowledge tracing
Shuyan Huang, Zitao Liu, Qiongqiong Liu, Jiahao Chen, Yaying Huang
Information Fusion 2025
A dual-attentional time-aware fusion network for knowledge tracing that captures both temporal dynamics and question-level dependencies.
Dual-attentional time-aware fusion networks for knowledge tracing
Shuyan Huang, Zitao Liu, Qiongqiong Liu, Jiahao Chen, Yaying Huang
Information Fusion 2025
A dual-attentional time-aware fusion network for knowledge tracing that captures both temporal dynamics and question-level dependencies.
Improving Knowledge Tracing through Multi-Source Scaling with Decoder-Only Transformers
Guo Teng, Bojun Zhan, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Mingliang Hou, Zitao Liu
ACM Transactions on Intelligent Systems and Technology 2025
Investigating the impact of multi-source data scaling on knowledge tracing performance using decoder-only Transformer architectures.
Improving Knowledge Tracing through Multi-Source Scaling with Decoder-Only Transformers
Guo Teng, Bojun Zhan, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Mingliang Hou, Zitao Liu
ACM Transactions on Intelligent Systems and Technology 2025
Investigating the impact of multi-source data scaling on knowledge tracing performance using decoder-only Transformer architectures.
A Prompt-Driven Framework for Multi-Domain Knowledge Tracing
Zitao Liu, Shuyan Huang, Guo Teng, Mingliang Hou, Qianru Liang
Machine Learning 2025
A prompt-driven framework for multi-domain knowledge tracing that leverages natural language prompts to guide model behavior and improve performance.
A Prompt-Driven Framework for Multi-Domain Knowledge Tracing
Zitao Liu, Shuyan Huang, Guo Teng, Mingliang Hou, Qianru Liang
Machine Learning 2025
A prompt-driven framework for multi-domain knowledge tracing that leverages natural language prompts to guide model behavior and improve performance.
2024
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
Hengyuan Zhang, Zitao Liu, Shuyan Huang, Chenming Shang, Bojun Zhan, Yong Jiang
Arxiv Preprint 2024
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
Hengyuan Zhang, Zitao Liu, Shuyan Huang, Chenming Shang, Bojun Zhan, Yong Jiang
Arxiv Preprint 2024
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
2023
Xes3g5m: A knowledge tracing benchmark dataset with auxiliary information
Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng
NeurIPS 2024
A comprehensive benchmark dataset for knowledge tracing featuring rich auxiliary information for robust model evaluation.
Xes3g5m: A knowledge tracing benchmark dataset with auxiliary information
Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng
NeurIPS 2024
A comprehensive benchmark dataset for knowledge tracing featuring rich auxiliary information for robust model evaluation.
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue
Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo
CIKM 2023
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue
Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo
CIKM 2023
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue
Enhancing deep knowledge tracing with auxiliary tasks
Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng
The Web Conference (WWW) 2023
Boosting knowledge tracing performance through the integration of multi-task learning with auxiliary educational objectives.
Enhancing deep knowledge tracing with auxiliary tasks
Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng
The Web Conference (WWW) 2023
Boosting knowledge tracing performance through the integration of multi-task learning with auxiliary educational objectives.
simpleKT: a simple but tough-to-beat baseline for knowledge tracing
Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang#, Weiqi Luo (# corresponding author)
ICLR 2023
A surprisingly effective and simple baseline for knowledge tracing that consistently outperforms complex deep learning models.
simpleKT: a simple but tough-to-beat baseline for knowledge tracing
Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang#, Weiqi Luo (# corresponding author)
ICLR 2023
A surprisingly effective and simple baseline for knowledge tracing that consistently outperforms complex deep learning models.
Improving interpretability of deep sequential knowledge tracing models with question-centric cognitive representations
Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo
AAAI 2023
Improving the interpretability of deep knowledge tracing by learning question-centric cognitive representations.
Improving interpretability of deep sequential knowledge tracing models with question-centric cognitive representations
Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo
AAAI 2023
Improving the interpretability of deep knowledge tracing by learning question-centric cognitive representations.
2022
pyKT: a python library to benchmark deep learning based knowledge tracing models
Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang#, Jiliang Tang, Weiqi Luo (# corresponding author)
NeurIPS 2022
A comprehensive Python library designed to provide a standardized benchmark for deep learning-based knowledge tracing.
pyKT: a python library to benchmark deep learning based knowledge tracing models
Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang#, Jiliang Tang, Weiqi Luo (# corresponding author)
NeurIPS 2022
A comprehensive Python library designed to provide a standardized benchmark for deep learning-based knowledge tracing.
2021
A design of a simple yet effective exercise recommendation system in K-12 online learning
Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, Weiqi Luo
AIED 2022
In this paper, we design a simple yet effective exercise recommendation system for K-12 online learning, addressing the challenges of balancing evaluation cost and prediction accuracy.
A design of a simple yet effective exercise recommendation system in K-12 online learning
Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, Weiqi Luo
AIED 2022
In this paper, we design a simple yet effective exercise recommendation system for K-12 online learning, addressing the challenges of balancing evaluation cost and prediction accuracy.