科辛大学医学院队列评价的建立与运行

Sejin Kim
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引用次数: 0

摘要

组成了多个队列(如在校学生和毕业生),以收集科辛大学医学院学生从入学到毕业的整个教育过程的信息。已经由不同的委员会为不同的目的收集和分析的数据被归为一个更系统和全面的系统,称为队列系统,使必要的数据能够迅速收集和分析,按照在教育过程的每个领域提供有意义的信息的目的。因此,全面的队列数据,可用于使命宣言的修订,课程的开发和改进,学生的咨询和学生的选择被建立和利用。队列数据收集自绩效评价指标,包括自我评价调查、学习成果评价工具、学业成绩、韩国医师执照考试成绩和职业安置。根据对队列数据的分析结果,发表了一份全面的队列报告。通过队列分析的数据被报告给每个委员会,并以各种方式使用。然而,目前只有部分数据得到了分析和利用。未来,在完成数据收集后,通过分析学生从入学到毕业以及毕业后的学习表现数据,队列数据可以作为有意义的基础数据,用于实现学校的使命和教育目标,开发和完善课程,辅导学生,选择学生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishing and Operating Cohort Evaluation at Kosin University College of Medicine
Multiple cohorts (e.g., current students and graduates) were formed to collect information on the entire educational process from admission to graduation regarding students’ educational performances at Kosin University College of Medicine. Data that had already been collected and analyzed by different committees for different purposes were grouped into a more systematic and comprehensive system called the cohort system, enabling the necessary data to be collected promptly and analyzed in accordance with the purpose of providing meaningful information in each area of the educational process. Therefore, comprehensive cohort data that can be used for mission statement revision, curriculum development and improvement, student counseling, and student selection were established and utilized. The cohort data were collected from performance evaluation indicators including self-evaluation surveys, evaluation tools for learning outcomes, academic achievement, results of the Korean Medical Licensing Examination, and career placement. Based on the results obtained by analyzing cohort data, a comprehensive cohort report has been published. The data analyzed through the cohort were reported to each committee and used in various ways. Currently, however, only some data have been analyzed and used. In the future, after complete data collection, the cohort data can be used as meaningful basic data for achieving the institution’s mission and educational goals, developing and improving the curriculum, counseling students, and selecting students through the analysis of learning performance data from student admission to graduation and after graduation.
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