{"title":"将兽医课程带到教师和学生的指尖:一种新的课程搜索和分析工具。","authors":"Aliye Karabulut Ilgu, Serhat Demir","doi":"10.3138/jvme-2024-0074","DOIUrl":null,"url":null,"abstract":"<p><p>Curriculum review is a required and essential part of the continuous improvement process to ensure that all elements of the curriculum are integrated to help students achieve intended outcomes. It is also an effective way of avoiding a disparity between the knowledge and skills students gain throughout their education and the knowledge and skills required in practice. One commonly used curriculum analysis approach is curriculum mapping, which requires extensive labor and time commitment. This best practice paper describes the development of a curriculum search and analysis tool that utilizes novel computational analysis techniques from data science and artificial intelligence approaches to enhance the quality of curriculum maps by increasing the effectiveness and efficiency of the curriculum analysis and mapping process.</p>","PeriodicalId":17575,"journal":{"name":"Journal of veterinary medical education","volume":" ","pages":"e20240074"},"PeriodicalIF":1.1000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bringing the Veterinary Medicine Curriculum to the Fingertips of Faculty and Students: A Novel Curriculum Search and Analysis Tool.\",\"authors\":\"Aliye Karabulut Ilgu, Serhat Demir\",\"doi\":\"10.3138/jvme-2024-0074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Curriculum review is a required and essential part of the continuous improvement process to ensure that all elements of the curriculum are integrated to help students achieve intended outcomes. It is also an effective way of avoiding a disparity between the knowledge and skills students gain throughout their education and the knowledge and skills required in practice. One commonly used curriculum analysis approach is curriculum mapping, which requires extensive labor and time commitment. This best practice paper describes the development of a curriculum search and analysis tool that utilizes novel computational analysis techniques from data science and artificial intelligence approaches to enhance the quality of curriculum maps by increasing the effectiveness and efficiency of the curriculum analysis and mapping process.</p>\",\"PeriodicalId\":17575,\"journal\":{\"name\":\"Journal of veterinary medical education\",\"volume\":\" \",\"pages\":\"e20240074\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of veterinary medical education\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.3138/jvme-2024-0074\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of veterinary medical education","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3138/jvme-2024-0074","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
Bringing the Veterinary Medicine Curriculum to the Fingertips of Faculty and Students: A Novel Curriculum Search and Analysis Tool.
Curriculum review is a required and essential part of the continuous improvement process to ensure that all elements of the curriculum are integrated to help students achieve intended outcomes. It is also an effective way of avoiding a disparity between the knowledge and skills students gain throughout their education and the knowledge and skills required in practice. One commonly used curriculum analysis approach is curriculum mapping, which requires extensive labor and time commitment. This best practice paper describes the development of a curriculum search and analysis tool that utilizes novel computational analysis techniques from data science and artificial intelligence approaches to enhance the quality of curriculum maps by increasing the effectiveness and efficiency of the curriculum analysis and mapping process.
期刊介绍:
The Journal of Veterinary Medical Education (JVME) is the peer-reviewed scholarly journal of the Association of American Veterinary Medical Colleges (AAVMC). As an internationally distributed journal, JVME provides a forum for the exchange of ideas, research, and discoveries about veterinary medical education. This exchange benefits veterinary faculty, students, and the veterinary profession as a whole by preparing veterinarians to better perform their professional activities and to meet the needs of society.
The journal’s areas of focus include best practices and educational methods in veterinary education; recruitment, training, and mentoring of students at all levels of education, including undergraduate, graduate, veterinary technology, and continuing education; clinical instruction and assessment; institutional policy; and other challenges and issues faced by veterinary educators domestically and internationally. Veterinary faculty of all countries are encouraged to participate as contributors, reviewers, and institutional representatives.