치유농업 5년간(2018년~2022년) 동향 분석을 통한 프로그램 운영기준 모색
Searching for Operation Standards Program through Analysis Trends in Agro-healing for 5 years (2018~2022)
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참고문헌
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초록
본 연구는 프로그램 운영기준을 확인하기 위해 2018년부터 국내외에서 발표된 치유농업 관련 분야의 실험연구 동향을 분석하기 위해 수행되었다. 식물자원 및 치유농업과 관련된 논문은 총 103편으로, 치유농업 프로그램에 참여하는 연구대상자 규모는 31명 이상, 총회기는 11~20회, 단위활동당 시간은 60분 이내, 단위 활동간 간격은 주 1회, 기간은 2개월이 가장 많았다. 데이터 정보 변인간 관계를 알아보기 위해 논문기초정보와그에 따른 데이터 정보 변인인 대상자 정보, 프로그램 정보의 유의한 연관성이나 차별성이 있는지 확인하기 위하여 카이제곱 검정을 실시한 결과,저자전공과 대상자정보·프로그램 정보는 대부분 항목에서 관계가 있었으나 저자소속, 발행연도, 논문구분, 치유유형 등은 1 또는 2개의 항목에서만관계가 있었고, 종속변수 치유문제-중분류는 저자소속을 제외한 저자전공, 발행연도, 논문구분, 치유유형 항목 모두에서 유의미한 관계를 보였으며,치유문제-대분류는 저자소속과 발행연도를 제외한 저자전공, 논문구분, 치유유형 3개의 변인과의 관계가 있는 것으로 나타났다. 본 연구결과를토대로 향후 치유농업 연구에 기초자료로 제공하고 현장에서의 활용도를 높여 치유농업의 신뢰도를 높이는 데 기여하고자 한다.
Abstract
This study was conducted to analyze experimental research trends in fields related to agro-healing published at domestic and foreignsince 2018 in order to confirm operation standards program. There were a total of 103 papers related to plant resources and agro-healing. The number of research subjects participating in the agro-healing program was more than 31, the general session was 11 to 20 times,the time per unit activity was less than 60 minutes, the interval between unit activities was once a week, and the maximum periodwas 2 months. In order to determine the relationship between data information variables, a chi-square test was conducted to determinewhether there was a significant correlation or differentiation between thesis basic information and the corresponding data informationvariables, subject information and program information. The result was a relationship in most items, but there was a relationship inonly 1 or 2 items such as author affiliation, publication year, paper type, and treatment type, and the dependent variable healingproblem-medium category was author major, publication year, paper type, etc. excluding author affiliation. A significant relationshipwas shown in all healing type items, and healing problem-major category was found to have a relationship with three variables excludingauthor affiliation and publication year: author major, paper type, and healing type. Based on the results of this study, we aim to providebasic data for future healing agriculture research and contribute to increasing the reliability of healing agriculture by increasing its usabilityin the field.
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