• Title/Summary/Keyword: Simsang-Poetry Therapy

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The Effects of Human Relationship Class Using Simsang-Poetry Therapy on the Mental Health of Nursing Students (심상 시치료를 활용한 인간관계 수업이 간호대생의 정신건강에 미치는 효과)

  • Jeong Hye Bak;Hyun Mi Jo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.137-144
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    • 2024
  • This study shows the effectiveness of mental health by applying the Light of the Mind program to 45 nursing students who applied for the Human Relations class at JS University and showed 90% attendance once a week for a total of 10 sessions and 60 minutes per session. The 'Light of the Heart' program was carried out in the Simsang-Poetry therapy stage and technique, an integrated art and cultural therapy that recognizes the 'light' representing 'inner positivity'. As a result of phenomenological and qualitative analysis of the participants' descriptions, the categories of source, healing power, positive perception, self-realization, positive emotion, potential, and self-awareness were shown, and there was a statistically significant difference in the experimental group compared to the control group when analyzing before and after the resilience scale. This study is significant in that it improved the mental health of nursing students through human relations classes. It is necessary to develop and carry out various programs for the promotion of human relations and mental health of college students, and it will be helpful to the mental health of modern people by expanding this program to the general public.

The Analysis of Public Awareness about Literary Therapy by Utilizing Big Data Analysis - The aspects of convergence literature and statistics (빅데이터 분석을 통한 문학치료의 대중적 인지도 분석 - 국문학과 통계학의 융합적 측면)

  • Choi, Kyoung-Ho;Park, Jeong-Hye
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.395-404
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    • 2015
  • This study is exploring objective awareness of literary therapy by consideration of popular perception about literary therapy through analysis of big data. The purpose of this study is the deduction of meaning information through analysis in the viewpoint of big data at online social network service(SNS) about 'literary therapy'. Accordingly, the main way of research became content analysis of keyword linked to literary therapy by utilizing opinion mining method related to text mining. The study mainly grasped 'literary therapy' and analyzed 'bibliotherapy' comparatively. The period of study was from Oct. 10th to Nov. 10th, 2014(during 30 days), and SNS such as blog or twitter became the subject of search. Through the result of study analysis, the conclusion that the spread of literary therapeutic prospect, structural harmony of literary therapeutic field, and the solidity of perceptional axis about literary therapy are needed can be drawn. This study is worthwhile because it can investigate popular awareness about literary therapy and can suggest alternative for invigoration of literary therapy.