EK-Chess: Chess Learning System Based on Top-Level Chess Expert Knowledge Graph | |
Zhang, Mingyu4,5; Jin, Qiao3; Dong, Qian2; Wang, Danli4,5; Xie, Jun1 | |
刊名 | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION |
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 |
DOI | 10.1080/10447318.2024.2348229 |
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. |
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关键词 | COGNITIVE LOAD |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS INC |
WOS记录号 | WOS:001234432000001 |
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 |
内容类型 | 期刊论文 |
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.Capital Univ Phys Educ & Sports, Beijing, Peoples R China 2.Shanghai Univ Sport, Sch Phys Educ, Shanghai, Peoples R China 3.Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN USA 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, 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. |
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