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EK-Chess: Chess Learning System Based on Top-Level Chess Expert Knowledge Graph

文献类型：期刊论文

作者Zhang, Mingyu1,2; Jin, Qiao3; Dong, Qian4; Wang, Danli1,2; Xie, Jun5
刊名INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
出版日期2024-05-28
页码15
关键词Learning system chess beginner chess education expert knowledge knowledge graph user study
ISSN号1044-7318
DOI10.1080/10447318.2024.2348229
通讯作者Wang, Danli(danli.wang@ia.ac.cn) ; Xie, Jun(chessbeijing@126.com)
英文摘要Chess, as a form of intellectual sport, has garnered significant attention from researchers, driving continuous research into computer-assisted player training. However, contemporary teaching or training models frequently confine learners to passive observation of computer-generated results. Beginners may find it challenging to comprehend the cognitive processes underlying decision-making. To address this issue, this article proposes EK-Chess, a knowledge graph-based chess teaching system that encompasses a series of endgame teaching scenarios. This system assists chess beginners in learning the positional evolution in pawn endgames, helping users comprehend offensive and defensive strategies in endgames. User studies validate the effectiveness, and support of the system in endgame learning.
WOS关键词COGNITIVE LOAD
资助项目Natural Science Foundation of Beijing[21JD0044] ; Key project of Science and Technology Plan of Beijing Municipal Education Commission[21JD0044] ; National Natural Science Foundation of China[61872363] ; Beijing Natural Science Foundation[L232098] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA27000000]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001234432000001
出版者TAYLOR & FRANCIS INC
资助机构Natural Science Foundation of Beijing ; Key project of Science and Technology Plan of Beijing Municipal Education Commission ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Strategic Priority Research Program of Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/58493]  
专题舆论大数据科学与技术应用联合实验室
通讯作者Wang, Danli; Xie, Jun
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
3.Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN USA
4.Shanghai Univ Sport, Sch Phys Educ, Shanghai, Peoples R China
5.Capital Univ Phys Educ & Sports, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Mingyu,Jin, Qiao,Dong, Qian,et al. EK-Chess: Chess Learning System Based on Top-Level Chess Expert Knowledge Graph[J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION,2024:15.
APA Zhang, Mingyu,Jin, Qiao,Dong, Qian,Wang, Danli,&Xie, Jun.(2024).EK-Chess: Chess Learning System Based on Top-Level Chess Expert Knowledge Graph.INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION,15.
MLA Zhang, Mingyu,et al."EK-Chess: Chess Learning System Based on Top-Level Chess Expert Knowledge Graph".INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION (2024):15.

入库方式： OAI收割

来源：自动化研究所

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