Professor | Xiaofeng Yu | Asia Growth Partners

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Name	Xiaofeng Yu
Language ability	English, Chinese
Province	Jiangxi

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Name

Xiaofeng Yu

Language ability

English, Chinese

Province

Jiangxi

University/Lab Affiliation and Title	Jiangxi Normal University
Faculty	Psychology
Academic Background & Achievements	2012/09-2015/06 PhD in Basic Psychology: Not mentioned 2016/09-2018/08 Postdoctoral Research: University of Notre Dame, USA
Work Experience	2012/09-2015/06 - Not mentioned - PhD in Basic Psychology 2016/09-2018/08 - University of Notre Dame, USA - Postdoctoral Research

University/Lab Affiliation and Title

Jiangxi Normal University

Faculty

Psychology

Academic Background & Achievements

2012/09-2015/06 PhD in Basic Psychology: Not mentioned
2016/09-2018/08 Postdoctoral Research: University of Notre Dame, USA

Work Experience

2012/09-2015/06 - Not mentioned - PhD in Basic Psychology
2016/09-2018/08 - University of Notre Dame, USA - Postdoctoral Research

Areas of Focus	Intelligent Assessment and Learning Test Security Statistical Modeling Bayesian Theory and Applications
Publications	Data-driven Q-matrix validation using a residual-based statistic in cognitive diagnostic assessment, Yu, Xiaofeng; Cheng, Ying, 2019 A change-point analysis procedure based on weighted residuals to detect back random responding, Yu, Xiaofeng; Cheng, Ying, 2019 Recent Developments in Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT): A Comprehensive Review, Yu, Xiaofeng; Cheng, Ying; Chang, HH, 2019 A Speed-Accuracy Tradeoff Hierarchical Model Based on Cognitive Experiment, Guo, Xiaojun; Luo, Zhaosheng; Yu, Xiaofeng, 2020 认知诊断评价中测验结构的优化设计, 彭亚风; 罗照盛; 喻晓锋; 高椿雷; 李喻骏, 2016 使用似然比D^2统计量的题目属性定义方法, 喻晓锋; 罗照盛; 高椿雷; 李喻骏; 王睿; 王钰彤, 2015 基于作答数据的模型参数和Q矩阵联合估计, 喻晓锋; 罗照盛; 秦春影; 高椿雷; 李喻骏, 2015 基于属性掌握概率的认知诊断计算机化自适应测验选题策略, 罗照盛; 喻晓锋; 高椿雷; 李喻骏; 彭亚风; 王睿; 王钰彤, 2015 贝叶斯网在认知诊断属性层级结构确定中的应用, 喻晓锋; 丁树良; 秦春影; 陆云娜, 2011 CD-CAT初始阶段项目选取方法, 高椿雷; 罗照盛; 郑蝉金; 喻晓锋; 彭亚风; 郭小军, 2017 CD-MST初始阶段模块组建方法比较, 高椿雷; 罗照盛; 喻晓锋; 彭亚风; 郑蝉金, 2016 认知诊断评价中测验结构的优化设计, 彭亚风; 罗照盛; 喻晓锋; 高椿雷; 李喻骏, 2016 具有认知诊断功能的多阶段自适应测验及其影响因素研究, 高椿雷; 罗照盛; 郑蝉金; 喻晓锋; 彭亚风, 2016 使用似然比D^2统计量的题目属性定义方法, 喻晓锋; 罗照盛; 高椿雷; 李喻骏; 王睿; 王钰彤, 2015 基于作答数据的模型参数和Q矩阵联合估计, 喻晓锋; 罗照盛; 秦春影; 高椿雷; 李喻骏, 2015 一种基于Q矩阵理论朴素的认知诊断方法, 罗照盛; 李喻骏; 喻晓锋; 高椿雷; 彭亚风, 2015 Q矩阵包含错误的诊断测验分类准确性比较, 喻晓锋; 罗照盛; 高椿雷; 秦春影, 2014 朴素贝叶斯网分类器在认知诊断中的应用, 喻晓锋; 丁树良; 秦春影, 2012 属性不等权重的多级评分属性层级方法, 罗欢; 丁树良; 汪文义; 喻晓锋; 曹慧媛, 2010 Data Driven Q-Matrix Validation Using a Residual-Based Statistic in Cognitive Diagnostic Assessments, Yu, X.; Cheng, Y., 2019 Using CPA-based weighted residual method to detect carelessness, Yu, X.; Cheng, Y., 2018 Using CUSUM and CPA to detect speededness, Yu, X.; Cheng, Y., 2018 Using response time to detect speededness based on CUSUM, Yu, X.; Cheng, Y., 2017 Using change point analysis to detect inattentiveness in polytomous survey response data, Yu, X.; Cheng, Y., 2017 Item Selection Strategies Based on Attribute Mastery Probabilities in CD-CAT, Yu, X.; Luo, Z., 2015 基于似然比统计量的Q矩阵在线估计, 喻晓锋, 罗照盛, 高椿雷, 李喻骏, 2014

Areas of Focus

Intelligent Assessment and Learning
Test Security
Statistical Modeling
Bayesian Theory and Applications

Publications

Data-driven Q-matrix validation using a residual-based statistic in cognitive diagnostic assessment, Yu, Xiaofeng; Cheng, Ying, 2019
A change-point analysis procedure based on weighted residuals to detect back random responding, Yu, Xiaofeng; Cheng, Ying, 2019
Recent Developments in Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT): A Comprehensive Review, Yu, Xiaofeng; Cheng, Ying; Chang, HH, 2019
A Speed-Accuracy Tradeoff Hierarchical Model Based on Cognitive Experiment, Guo, Xiaojun; Luo, Zhaosheng; Yu, Xiaofeng, 2020
认知诊断评价中测验结构的优化设计, 彭亚风; 罗照盛; 喻晓锋; 高椿雷; 李喻骏, 2016
使用似然比D^2统计量的题目属性定义方法, 喻晓锋; 罗照盛; 高椿雷; 李喻骏; 王睿; 王钰彤, 2015
基于作答数据的模型参数和Q矩阵联合估计, 喻晓锋; 罗照盛; 秦春影; 高椿雷; 李喻骏, 2015
基于属性掌握概率的认知诊断计算机化自适应测验选题策略, 罗照盛; 喻晓锋; 高椿雷; 李喻骏; 彭亚风; 王睿; 王钰彤, 2015
贝叶斯网在认知诊断属性层级结构确定中的应用, 喻晓锋; 丁树良; 秦春影; 陆云娜, 2011
CD-CAT初始阶段项目选取方法, 高椿雷; 罗照盛; 郑蝉金; 喻晓锋; 彭亚风; 郭小军, 2017
CD-MST初始阶段模块组建方法比较, 高椿雷; 罗照盛; 喻晓锋; 彭亚风; 郑蝉金, 2016
认知诊断评价中测验结构的优化设计, 彭亚风; 罗照盛; 喻晓锋; 高椿雷; 李喻骏, 2016
具有认知诊断功能的多阶段自适应测验及其影响因素研究, 高椿雷; 罗照盛; 郑蝉金; 喻晓锋; 彭亚风, 2016
使用似然比D^2统计量的题目属性定义方法, 喻晓锋; 罗照盛; 高椿雷; 李喻骏; 王睿; 王钰彤, 2015
基于作答数据的模型参数和Q矩阵联合估计, 喻晓锋; 罗照盛; 秦春影; 高椿雷; 李喻骏, 2015
一种基于Q矩阵理论朴素的认知诊断方法, 罗照盛; 李喻骏; 喻晓锋; 高椿雷; 彭亚风, 2015
Q矩阵包含错误的诊断测验分类准确性比较, 喻晓锋; 罗照盛; 高椿雷; 秦春影, 2014
朴素贝叶斯网分类器在认知诊断中的应用, 喻晓锋; 丁树良; 秦春影, 2012
属性不等权重的多级评分属性层级方法, 罗欢; 丁树良; 汪文义; 喻晓锋; 曹慧媛, 2010
Data Driven Q-Matrix Validation Using a Residual-Based Statistic in Cognitive Diagnostic Assessments, Yu, X.; Cheng, Y., 2019
Using CPA-based weighted residual method to detect carelessness, Yu, X.; Cheng, Y., 2018
Using CUSUM and CPA to detect speededness, Yu, X.; Cheng, Y., 2018
Using response time to detect speededness based on CUSUM, Yu, X.; Cheng, Y., 2017
Using change point analysis to detect inattentiveness in polytomous survey response data, Yu, X.; Cheng, Y., 2017
Item Selection Strategies Based on Attribute Mastery Probabilities in CD-CAT, Yu, X.; Luo, Z., 2015
基于似然比统计量的Q矩阵在线估计, 喻晓锋, 罗照盛, 高椿雷, 李喻骏, 2014

Item Response Theory Diagnostic Testing Adaptive Testing Recommendation Systems Automatic Item Generation Process Data Analysis Big Data Algorithms Test Equating Q-Matrix Calibration Bayesian Networks

Hongyun Liu - Beijing Normal University

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