使用Yukari方法优化解剖解剖团队:基于同行兼容性的方法。

IF 4.7 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Tohru Murakami, Toru Araki, Yuki Tajika, Hitoshi Ueno, Sotaro Ichinose, Hirohide Iwasaki, Hiroshi Yorifuji
{"title":"使用Yukari方法优化解剖解剖团队:基于同行兼容性的方法。","authors":"Tohru Murakami, Toru Araki, Yuki Tajika, Hitoshi Ueno, Sotaro Ichinose, Hirohide Iwasaki, Hiroshi Yorifuji","doi":"10.1002/ase.70124","DOIUrl":null,"url":null,"abstract":"<p><p>Human anatomy dissection serves as a cornerstone of medical education, fostering not only anatomical knowledge but also teamwork and professionalism. Given the considerable intellectual, physical, and emotional demands of dissection, effective team dynamics are essential for student success. To enhance learning experiences and academic outcomes, we developed the \"Yukari method\"-an automated system for optimizing anatomy dissection team assignments. This method uses a heuristic local search algorithm to maximize peer compatibility based on student peer preferences and motivation levels collected via a secure web survey. Compared to random and self-selected teams, those assigned using the Yukari method showed approximately a 10% improvement in academic performance. Student satisfaction with Yukari-assigned teams was significantly higher than with random assignment and comparable to self-selection. This increased satisfaction, in turn, correlated with better academic outcomes. These findings suggest that the Yukari method is effective in medical education and potentially useful in other team-based disciplines, such as engineering and social sciences.</p>","PeriodicalId":124,"journal":{"name":"Anatomical Sciences Education","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing anatomy dissection teams using the Yukari method: A peer compatibility-based approach.\",\"authors\":\"Tohru Murakami, Toru Araki, Yuki Tajika, Hitoshi Ueno, Sotaro Ichinose, Hirohide Iwasaki, Hiroshi Yorifuji\",\"doi\":\"10.1002/ase.70124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Human anatomy dissection serves as a cornerstone of medical education, fostering not only anatomical knowledge but also teamwork and professionalism. Given the considerable intellectual, physical, and emotional demands of dissection, effective team dynamics are essential for student success. To enhance learning experiences and academic outcomes, we developed the \\\"Yukari method\\\"-an automated system for optimizing anatomy dissection team assignments. This method uses a heuristic local search algorithm to maximize peer compatibility based on student peer preferences and motivation levels collected via a secure web survey. Compared to random and self-selected teams, those assigned using the Yukari method showed approximately a 10% improvement in academic performance. Student satisfaction with Yukari-assigned teams was significantly higher than with random assignment and comparable to self-selection. This increased satisfaction, in turn, correlated with better academic outcomes. These findings suggest that the Yukari method is effective in medical education and potentially useful in other team-based disciplines, such as engineering and social sciences.</p>\",\"PeriodicalId\":124,\"journal\":{\"name\":\"Anatomical Sciences Education\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anatomical Sciences Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1002/ase.70124\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anatomical Sciences Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1002/ase.70124","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0

摘要

人体解剖是医学教育的基石,不仅培养解剖知识,而且培养团队合作和专业精神。考虑到解剖对智力、体力和情感的巨大需求,有效的团队动力对学生的成功至关重要。为了提高学习经验和学术成果,我们开发了“Yukari方法”——一种优化解剖小组作业的自动化系统。该方法使用启发式局部搜索算法,根据学生同伴偏好和通过安全网络调查收集的动机水平来最大化同伴兼容性。与随机和自我选择的小组相比,使用Yukari方法分配的小组在学习成绩上提高了大约10%。学生对由karii分配的团队的满意度显著高于随机分配的团队,与自我选择的团队相当。这种增加的满足感反过来又与更好的学业成绩相关。这些发现表明,Yukari方法在医学教育中是有效的,并且可能在其他以团队为基础的学科中有用,例如工程和社会科学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing anatomy dissection teams using the Yukari method: A peer compatibility-based approach.

Human anatomy dissection serves as a cornerstone of medical education, fostering not only anatomical knowledge but also teamwork and professionalism. Given the considerable intellectual, physical, and emotional demands of dissection, effective team dynamics are essential for student success. To enhance learning experiences and academic outcomes, we developed the "Yukari method"-an automated system for optimizing anatomy dissection team assignments. This method uses a heuristic local search algorithm to maximize peer compatibility based on student peer preferences and motivation levels collected via a secure web survey. Compared to random and self-selected teams, those assigned using the Yukari method showed approximately a 10% improvement in academic performance. Student satisfaction with Yukari-assigned teams was significantly higher than with random assignment and comparable to self-selection. This increased satisfaction, in turn, correlated with better academic outcomes. These findings suggest that the Yukari method is effective in medical education and potentially useful in other team-based disciplines, such as engineering and social sciences.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Anatomical Sciences Education
Anatomical Sciences Education Anatomy/education-
CiteScore
10.30
自引率
39.70%
发文量
91
期刊介绍: Anatomical Sciences Education, affiliated with the American Association for Anatomy, serves as an international platform for sharing ideas, innovations, and research related to education in anatomical sciences. Covering gross anatomy, embryology, histology, and neurosciences, the journal addresses education at various levels, including undergraduate, graduate, post-graduate, allied health, medical (both allopathic and osteopathic), and dental. It fosters collaboration and discussion in the field of anatomical sciences education.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信