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Roommate assignment for effective character education within a Residential College system

Residential college에서 효과적인 인성 교육을 위한 룸메이트 배정 문제

  • Choi, Hyebong (School of Global Entrepreneurship and Information Communication Technology, Handong Global University) ;
  • Nam, J. Sophia (School of Counselling Psychology & Social Welfare, Handong Global University) ;
  • Kim, Woo-sung (School of Management & Economics, Handong Global University)
  • 최혜봉 (한동대학교 ICT창업학부) ;
  • 남지혜 (한동대학교 상담심리사회복지학부) ;
  • 김우성 (한동대학교 경영경제학부)
  • Received : 2017.06.28
  • Accepted : 2017.09.20
  • Published : 2017.09.28

Abstract

Recently, various universities in Korea have started to work on strengthening their liberal arts and character education through the residential college (RC) system, carrying out various community programs for this purpose. However, because most programs are based on student-to-student relationships, problems can often arise within the community living environments. This paper proposes the roommate assignment algorithm in the context of a residential college, as to effectively achieve character education goals. The clustering algorithm we propose is based on the similarity hypothesis. As a result of the assignment, the degree of similarity (euclidean distance) between roommates was significantly higher than that assigned randomly. The algorithm developed in this study was applied to the data of the students living in the international campus of H University.

최근, 다양한 국내 대학들에서 residential college를 통하여 인성교육을 위한 공동체 프로그램들을 진행하고 있다. 그렇지만 대부분의 프로그램들이 학생들 간의 관계에 기반을 두고 있기 때문에 공동체 생활환경에서 발생하게 되는 다른 갈등 상황이 발생할 수 있으며 이는 인성 교육 목표 달성을 저해할 수 있다. 본 논문에서는 효과적으로 인성 교육 목표를 성취하기 위하여 갈등 상황을 낮추기 위한 룸메이트 배정 알고리즘을 제시한다. 본 연구에서 사용하는 방법론은 심리학의 유사성 이론에 기반을 둔 클러스터링 알고리즘이며, 알고리즘을 통하여 배정된 결과, 룸메이트간의 유사도(유클리디안 거리)는 임의대로 배정한 것보다 현저히 높음을 볼 수 있었다. 본 연구에서 개발된 알고리즘은 H대학교의 국제관에서 생활하는 학생들의 데이터에 적용되었으며, 이러한 알고리즘을 통하여 대학과 같은 교육기관이 학생들의 갈등상황을 효과적으로 관리할 수 있기를 기대할 수 있다.

Keywords

References

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