Zobrazeno 1 - 10
of 286
pro vyhledávání: '"LI, Xihua"'
Publikováno v:
37th Conference on AAAI 2023 Artificial Intelligence for Education(AI4Edu)
When students make a mistake in an exercise, they can consolidate it by ``similar exercises'' which have the same concepts, purposes and methods. Commonly, for a certain subject and study stage, the size of the exercise bank is in the range of millio
Externí odkaz:
http://arxiv.org/abs/2303.11163
Recently, more and more people study online for the convenience of access to massive learning materials (e.g. test questions/notes), thus accurately understanding learning materials became a crucial issue, which is essential for many educational appl
Externí odkaz:
http://arxiv.org/abs/2303.08039
Publikováno v:
In Neuromuscular Disorders December 2024 45
Autor:
Tong, Haowei, Fan, Shusheng, Hu, Wanting, Wang, Huna, Guo, Guangyao, Huang, Xiaofei, Zhao, Lei, Li, Xihua, Zhang, Luyong, Jiang, Zhenzhou, Yu, Qinwei
Publikováno v:
In Pharmacological Research October 2024 208
Cognitive diagnosis, the goal of which is to obtain the proficiency level of students on specific knowledge concepts, is an fundamental task in smart educational systems. Previous works usually represent each student as a trainable knowledge proficie
Externí odkaz:
http://arxiv.org/abs/2111.08951
Autor:
Huang, Tongwen, Li, Xihua
Publikováno v:
35th Conference on Neural Information Processing Systems (NeurIPS 2021) Workshop on Math AI for Education (MATHAI4ED)
Education artificial intelligence aims to profit tasks in the education domain such as intelligent test paper generation and consolidation exercises where the main technique behind is how to match the exercises, known as the finding similar exercises
Externí odkaz:
http://arxiv.org/abs/2111.08322
Publikováno v:
In Resources Policy May 2024 92
In educational applications, Knowledge Tracing (KT), the problem of accurately predicting students' responses to future questions by summarizing their knowledge states, has been widely studied for decades as it is considered a fundamental task toward
Externí odkaz:
http://arxiv.org/abs/2105.06266
Autor:
Li, Xihua, Shen, Qikun
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part D