Zobrazeno 1 - 10
of 281
pro vyhledávání: '"Ma Haiping"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract To clarify the relationship between GNSS (Global Navigation Satellite System) crustal deformation and the preparation of strong earthquakes in the western Chinese Mainland, a series of methods including velocity field, strain rate field, and
Externí odkaz:
https://doaj.org/article/d492c3cb576740329c2de35a70affd96
Autor:
Ma Haiping, Zhang Hui, Li Minjuan, Wu Shanyi, Wang Pengtao, Wang Qian, Zhao Jing, Ma Zhiqiang
Publikováno v:
Open Geosciences, Vol 15, Iss 1, Pp 1054-9 (2023)
To study the characteristics of the present crustal movement in the Tibetan Plateau and explore its relationship between strong earthquakes with magnitudes of 8 and above, the velocity field size was analyzed based on the global position system (GPS)
Externí odkaz:
https://doaj.org/article/a01fa7b74ec446f1b9c57753c7e6003a
Computerized Adaptive Testing (CAT) aims to select the most appropriate questions based on the examinee's ability and is widely used in online education. However, existing CAT systems often lack initial understanding of the examinee's ability, requir
Externí odkaz:
http://arxiv.org/abs/2411.12182
Autor:
Yang, Shangshang, Chen, Mingyang, Wang, Ziwen, Yu, Xiaoshan, Zhang, Panpan, Ma, Haiping, Zhang, Xingyi
Existing graph learning-based cognitive diagnosis (CD) methods have made relatively good results, but their student, exercise, and concept representations are learned and exchanged in an implicit unified graph, which makes the interaction-agnostic ex
Externí odkaz:
http://arxiv.org/abs/2410.17564
The rapid development of online recruitment platforms has created unprecedented opportunities for job seekers while concurrently posing the significant challenge of quickly and accurately pinpointing positions that align with their skills and prefere
Externí odkaz:
http://arxiv.org/abs/2410.07671
Autor:
Yu, Xiaoshan, Qin, Chuan, Shen, Dazhong, Yang, Shangshang, Ma, Haiping, Zhu, Hengshu, Zhang, Xingyi
In the realm of education, both independent learning and group learning are esteemed as the most classic paradigms. The former allows learners to self-direct their studies, while the latter is typically characterized by teacher-directed scenarios. Re
Externí odkaz:
http://arxiv.org/abs/2406.12465
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:
Zhang, Yunfei, Qin, Chuan, Shen, Dazhong, Ma, Haiping, Zhang, Le, Zhang, Xingyi, Zhu, Hengshu
During the past few decades, cognitive diagnostics modeling has attracted increasing attention in computational education communities, which is capable of quantifying the learning status and knowledge mastery levels of students. Indeed, the recent ad
Externí odkaz:
http://arxiv.org/abs/2401.10749
Cognitive diagnosis is a crucial task in computational education, aimed at evaluating students' proficiency levels across various knowledge concepts through exercises. Current models, however, primarily rely on students' answered exercises, neglectin
Externí odkaz:
http://arxiv.org/abs/2312.10110
Knowledge tracing (KT) aims to trace students' knowledge states by predicting whether students answer correctly on exercises. Despite the excellent performance of existing Transformer-based KT approaches, they are criticized for the manually selected
Externí odkaz:
http://arxiv.org/abs/2310.01180