• 과학교육연구지
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• 제43권3호
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• pp.342-362
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• 2019

이 연구는 치과대학 및 치의학전문대학원에서 이루어지는 학부 단계 교육에 PBL 수업을 도입하기 위해 적용 가능성을 탐색해 보고자 수행되었다. 이를 위해, 배경지식의 차이가 있는 학생들이 통합 의생명 학습을 쉽게 학습할 수 있도록 PBL 모듈을 개발하여 적용한 후, 학습의 결과 및 PBL 수업에 대한 학생과 교수자의 인식을 분석 하였다. 연구 참여자는 P 대학교 학·석사 통합과정 1학년 12명이며, 튜터로는 치의학을 전공하고 PBL 수업 경험이 있는 교수 4인이 참여하였다. PBL 수업 결과 학생들의 유전자와 및 형질 발현에 관한 개념 및 지식의 확장되었으며, 자기 주도적 학습자로서의 인식하고 협력 학습의 중요성을 경험하였다. 교수자들은 치의학 교육에서 PBL 수업의 교육적 필요성에 대해 긍정적으로 평가하였다. 이 연구의 결과는 치의학 교육에서 통합 의생명 수업을 위한 모형으로 PBL의 가능성을 보여주는 것이라 하겠다.

• 의학교육논단
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• 제26권1호
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• pp.19-26
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• 2024

This study examines a systematic and effective approach to career guidance in medical education, with a particular focus on the 6-year integrated career guidance education framework implemented at the College of Medicine, The Catholic University of Korea. Based on the "New SLICE" educational development principles, this framework comprehensively addresses the needs of medical students in career planning and development. It is structured into three phases: understanding yourself, exploring options, and choosing a specialty. The first phase, understanding yourself, helps students to recognize their strengths, weaknesses, aptitudes, and potentials, thereby setting the direction for future career choices. This phase includes various psychological tests and Self-Development and Portfolio courses. The second phase, exploring options, enables students to engage in related activities such as research and practical training, providing direct and indirect experiences across various fields. This phase offers courses including Medical Field Experience, Career Guidance through the Learning Community & Advisory Professors, and Student Participation in Professor Research Projects. The final phase, choosing a specialty, involves students making decisions based on in-depth self-assessment and exploration of majors, with a capstone project being a significant component. Maximizing the efficiency of career decision-making requires integration between the basic medical curriculum and postgraduate education. Including the period up to residency entrance in the framework is necessary for effective career guidance education.

• Genomics & Informatics
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• 제10권2호
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• pp.81-87
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• 2012

Large-scale copy number variants (CNVs) in the human provide the raw material for delineating population differences, as natural selection may have affected at least some of the CNVs thus far discovered. Although the examination of relatively large numbers of specific ethnic groups has recently started in regard to inter-ethnic group differences in CNVs, identifying and understanding particular instances of natural selection have not been performed. The traditional $F_{ST}$ measure, obtained from differences in allele frequencies between populations, has been used to identify CNVs loci subject to geographically varying selection. Here, we review advances and the application of multinomial-Dirichlet likelihood methods of inference for identifying genome regions that have been subject to natural selection with the $F_{ST}$ estimates. The contents of presentation are not new; however, this review clarifies how the application of the methods to CNV data, which remains largely unexplored, is possible. A hierarchical Bayesian method, which is implemented via Markov Chain Monte Carlo, estimates locus-specific $F_{ST}$ and can identify outlying CNVs loci with large values of FST. By applying this Bayesian method to the publicly available CNV data, we identified the CNV loci that show signals of natural selection, which may elucidate the genetic basis of human disease and diversity.