耿晶｜江汉大学｜学者主页

2026

Structured Inductive Bias for Multi-timescale Knowledge Tracing

Xinjia Ou, Tao Huang, Shengze Hu, Huali Yang, Zhuoran Xu, Jing Geng, Yuxia Chen, Junjie Hu

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

BDGKT: Bidirectional dynamic graph knowledge tracing

Xinjia Ou, Tao Huang, Shengze Hu, Huali Yang, Zhuoran Xu, Junjie Hu, Jing Geng

Knowledge-Based Systems

DOI

2026

Hierarchical memory-enhanced networks for student knowledge tracing

Huali Yang, Junjie Hu, Tao Huang, Shengze Hu, Wang Gao, Zhuoran Xu, Jing Geng

Pattern Recognition Letters

DOI

2025

A higher-order neural cognitive diagnosis model with hierarchical attention networks

Tao Huang, Yuxia Chen, Jing Geng, Huali Yang, Shengze Hu

Expert Systems With Applications，Vol. 273

DOI

2025

Disentangling response sequences with causal invariance for knowledge tracing

Shengze Hu, Junjie Hu, Huali Yang, Jing Geng, Xinjia Ou, Zhuoran Xu, Han Wang, Tao Huang

Engineering Applications of Artificial Intelligence

DOI

2025

A survey of deep learning based knowledge tracing from cognitive processing perspective

Huali Yang, Junjie Hu, Shengze Hu, Zhuoran Xu, Xinjia Ou, Jing Geng, Linxia Tang, Tao Huang

Neurocomputing

DOI

2025

A Joint Diagnosis Model Using Response Time and Accuracy for Online Learning Assessment

Xia Li, Yuxia Chen, Huali Yang, Jing Geng

Electronics

DOI

2025

Multi-scale convolutional attention knowledge tracing from accumulative and structural evolution perspectives

Tao Huang, Zhuoran Xu, Xinjia Ou, Huali Yang, Shengze Hu, Junjie Hu, Jing Geng

Applied Soft Computing

DOI

2025

Problem Solving-Oriented Programming Knowledge Tracing from Behavior to Thought

Tao Huang, Linxia Tang, Huali Yang, Xinjia Ou, Shengze Hu, Jing Geng, Junjie Hu

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2025

Memory flow-controlled knowledge tracing with three stages

Tao Huang, Junjie Hu, Junjie Hu, Huali Yang, Shengze Hu, Jing Geng, Xinjia Ou

Neural Networks

DOI

2025

MAHKT: Knowledge tracing with multi-association heterogeneous graph embedding based on knowledge transfer

Huali Yang, Junjie Hu, Jinjin Chen, Shengze Hu, Jing Geng, Qiang Zhu, Tao Huang

Knowledge-Based Systems

DOI

2024

Simulation and prediction study of artificial intelligence education dynamics model for primary and secondary schools

Tao Huang, Jing Geng, Yuxia Chen, Han Wang, Huali Yang, Shengze Hu

Education And Information Technologies，Vol. 290, No. 130

DOI

2024

Pull together: Option-weighting-enhanced mixture-of-experts knowledge tracing

Tao Huang, Xinjia Ou, Huali Yang, Shengze Hu, Jing Geng, Zhuoran Xu, Zongkai Yang

Expert Systems With Applications，Vol. 248

DOI

2024

Long short-term attentional neuro-cognitive diagnostic model for skill growth assessment in intelligent tutoring systems

Tao Huang, Jing Geng, Huali Yang, Shengze Hu, Yuxia Chen, Jinhong Zhang

Expert Systems With Applications，Vol. 238

DOI

2024

Heterogeneous graph-based knowledge tracing with spatiotemporal evolution

Huali Yang, Shengze Hu, Jing Geng, Tao Huang, Junjie Hu, Hao Zhang, Qiang Zhu

Expert Systems With Applications，Vol. 238

DOI

2024

Response speed enhanced fine-grained knowledge tracing: A multi-task learning perspective

Tao Huang, Shengze Hu, Huali Yang, Jing Geng, Zhifei Li, Zhuoran Xu, Xinjia Ou

Expert Systems With Applications，Vol. 238

DOI

2024

Remembering is Not Applying: Interpretable Knowledge Tracing for Problem-solving Processes

Tao Huang, Xinjia Ou, Huali Yang, Shengze Hu, Jing Geng, Junjie Hu, Zhuoran Xu

ACM International Conference on Multimedia (ACM MM)

DOI

2024

Interpretable neuro-cognitive diagnostic approach incorporating multidimensional features

Tao Huang, Jing Geng, Huali Yang, Shengze Hu, Xinjia Ou, Junjie Hu, Zongkai Yang

Knowledge-Based Systems

DOI

2024

Correction: Noise-Filtering Enhanced Deep Cognitive Diagnosis Model for Latent Skill Discovering

Jing Geng, Hua-Li Yang, Sheng-Ze Hu

Intelligent Automation and Soft Computing

DOI

2023

PQSCT: Pseudo-Siamese BERT for Concept Tagging With Both Questions and Solutions

Tao Huang, Shengze Hu, Huali Yang, Jing Geng, Sannyuya Liu, Hao Zhang, Zongkai Yang

Ieee Transactions On Learning Technologies，Vol. 16, No. 50

DOI

2023

基于情境-认知-技术三重视角的智能测评诊断框架、实践和应用

胡盛泽，杨华利，黄涛，耿晶，朱强，胡俊杰

《远程教育杂志》

2023

I-assistant: An Intelligent Teaching Assistant System for Classroom Teaching

Xinyan Zhang, Jing Geng, Yuqi Chen, Sheng-Ze Hu, Tao Huang

International Conference on Educational and Information Technology

DOI

2023

Personalized Teaching Questioning Strategies Study Based on Learners’ Cognitive Structure Diagnosis

Yuan Zhao, Tao Huang, Han Wang, Jing Geng

Behavioral Science

DOI

2023

Modeling Working Memory Using Convolutional Neural Networks for Knowledge Tracing

Hua-Li Yang, Bin Chen, Jun-Jie Hu, Tao Huang, Jing Geng, Linxia Tang

International Conference on Intelligent Computing

DOI

2023

Noise-Filtering Enhanced Deep Cognitive Diagnosis Model for Latent Skill Discovering

Jing Geng, Hua-Li Yang, Sheng-Ze Hu

Intelligent Automation and Soft Computing

DOI

2022

人工智能时代的教育测评通用理论框架与实践进路

杨华利，耿晶，胡盛泽，黄涛，徐晨曦

《中国远程教育》，No. 12

下载原文

2022

Enhanced hybrid neural network for automated essay scoring

Xia Li, Hua-Li Yang, Shengze Hu, Jing Geng, Keke Lin, Yuhai Li

Expert Syst. J. Knowl. Eng.

DOI

2022

Research on Diagnosis and Improvement of Mathematical Operation Literacy Based on the Domain Knowledge Graph

Jing Geng, Jun-jie Zhu, Hua-Li Yang, Shengze Hu, Tao Huang

ICDEL

DOI

2021

数据驱动的精准化学习评价机制与方法

黄涛，赵媛，耿晶，王涵，张浩，杨华利

《现代远程教育研究》，No. 1

下载原文

2021

A Dynamic Knowledge Diagnosis Approach Integrating Cognitive Features

Tao Huang, Hua-Li Yang, Zhi Li, Hekun Xie, Jing Geng, Hao Zhang

IEEE Access

DOI

耿晶

精选作品

期刊论文

Structured Inductive Bias for Multi-timescale Knowledge Tracing

BDGKT: Bidirectional dynamic graph knowledge tracing

Hierarchical memory-enhanced networks for student knowledge tracing

A higher-order neural cognitive diagnosis model with hierarchical attention networks

Disentangling response sequences with causal invariance for knowledge tracing

A survey of deep learning based knowledge tracing from cognitive processing perspective

A Joint Diagnosis Model Using Response Time and Accuracy for Online Learning Assessment

Multi-scale convolutional attention knowledge tracing from accumulative and structural evolution perspectives

Problem Solving-Oriented Programming Knowledge Tracing from Behavior to Thought

Memory flow-controlled knowledge tracing with three stages

MAHKT: Knowledge tracing with multi-association heterogeneous graph embedding based on knowledge transfer

Simulation and prediction study of artificial intelligence education dynamics model for primary and secondary schools

Pull together: Option-weighting-enhanced mixture-of-experts knowledge tracing

Long short-term attentional neuro-cognitive diagnostic model for skill growth assessment in intelligent tutoring systems

Heterogeneous graph-based knowledge tracing with spatiotemporal evolution

Response speed enhanced fine-grained knowledge tracing: A multi-task learning perspective

Remembering is Not Applying: Interpretable Knowledge Tracing for Problem-solving Processes

Interpretable neuro-cognitive diagnostic approach incorporating multidimensional features

Correction: Noise-Filtering Enhanced Deep Cognitive Diagnosis Model for Latent Skill Discovering

PQSCT: Pseudo-Siamese BERT for Concept Tagging With Both Questions and Solutions

基于情境-认知-技术三重视角的智能测评诊断框架、实践和应用

I-assistant: An Intelligent Teaching Assistant System for Classroom Teaching

Personalized Teaching Questioning Strategies Study Based on Learners’ Cognitive Structure Diagnosis

Modeling Working Memory Using Convolutional Neural Networks for Knowledge Tracing

Noise-Filtering Enhanced Deep Cognitive Diagnosis Model for Latent Skill Discovering

人工智能时代的教育测评通用理论框架与实践进路

Enhanced hybrid neural network for automated essay scoring

Research on Diagnosis and Improvement of Mathematical Operation Literacy Based on the Domain Knowledge Graph

数据驱动的精准化学习评价机制与方法

A Dynamic Knowledge Diagnosis Approach Integrating Cognitive Features

研究方向