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pro vyhledávání: '"Bi, Haoyang"'
Autor:
Liu, Qi, Zhuang, Yan, Bi, Haoyang, Huang, Zhenya, Huang, Weizhe, Li, Jiatong, Yu, Junhao, Liu, Zirui, Hu, Zirui, Hong, Yuting, Pardos, Zachary A., Ma, Haiping, Zhu, Mengxiao, Wang, Shijin, Chen, Enhong
Computerized Adaptive Testing (CAT) provides an efficient and tailored method for assessing the proficiency of examinees, by dynamically adjusting test questions based on their performance. Widely adopted across diverse fields like education, healthc
Externí odkaz:
http://arxiv.org/abs/2404.00712
Autor:
Wang, Fei, Liu, Haoyu, Bi, Haoyang, Shen, Xiangzhuang, Zhu, Renyu, Wu, Runze, Lin, Minmin, Lv, Tangjie, Fan, Changjie, Liu, Qi, Huang, Zhenya, Chen, Enhong
For the purpose of efficient and cost-effective large-scale data labeling, crowdsourcing is increasingly being utilized. To guarantee the quality of data labeling, multiple annotations need to be collected for each data sample, and truth inference al
Externí odkaz:
http://arxiv.org/abs/2403.08826
Autor:
Gao, Weibo, Liu, Qi, Wang, Hao, Yue, Linan, Bi, Haoyang, Gu, Yin, Yao, Fangzhou, Zhang, Zheng, Li, Xin, He, Yuanjing
Cognitive diagnosis seeks to estimate the cognitive states of students by exploring their logged practice quiz data. It plays a pivotal role in personalized learning guidance within intelligent education systems. In this paper, we focus on an importa
Externí odkaz:
http://arxiv.org/abs/2312.13434
Autor:
Bi, Haoyang, Ma, Haiping, Huang, Zhenya, Yin, Yu, Liu, Qi, Chen, Enhong, Su, Yu, Wang, Shijin
Computerized Adaptive Testing (CAT) is emerging as a promising testing application in many scenarios, such as education, game and recruitment, which targets at diagnosing the knowledge mastery levels of examinees on required concepts. It shows the ad
Externí odkaz:
http://arxiv.org/abs/2101.05986
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Akademický článek
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