{"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}
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.
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.