Earticle

본 연구는 모래놀이치료 실태와 연구동향을 국내 석ㆍ박사 학위논문으로 알아 보는데 목적이 있다. 연구 방법은 모래놀이치료 관련 2011년부터 2021년 상반기까지 석ㆍ박사 학위논문 127편을 대상으로 연구년도, 연구대 상, 연구주제, 연구방법, 모래놀이 치료 관련 특성으로 분류하고, SPSS 19 로 빈도분석을 하였다. 연구결과는 첫 째, 논문 연도는 2014년 22편(17.3%)으로 가장 많았고, 둘째, 연구대상은 아동대상 논문 56편(44%), 대상의 특성 으로는 부적응 관련 논문 62편(48.7%)으로 나타났다. 셋째, 모래놀이치료 연구주제(변인)는 심리정서 54편(29.7%) 이 가장 많았고. 넷째, 모래놀이 연구방법으로는 혼합연구가 45(35.4%)편으로 많았다. 다섯째. 모래놀이치료 개입 별 특성으로는 주1회, 6-10회기, 50-60분 적용이 가장 많이 나왔다. 후속연구에 대한 제언은 첫째, 연구기간을 더 욱 확대해 국내 최초 모래놀이치료 연구와 최근의 연구까지 분석하고 파악하여 전반적인 모래놀이 치료 연구동향 을 파악할 필요가 있다. 둘째, 다양한 국내외 논문과 학술지를 고찰하여 우리나라와 외국 연구 동향에 대한 비교 분석 연구도 필요할 것이다.

The purpose of this study is to find out the current status of sand play therapy and research trends through a master's and doctorate thesis in Korea. From 2011 to the first half of 2021, 127 master's and doctoral dissertations related to sand play therapy were classified into research years, subjects, research methods, and characteristics related to sand play therapy, and frequency analysis was conducted with SPSS 19 statistical program. First, 22 papers (17.3 percent) were published in 2014, second, 56 papers (44 percent) were studied for children and 62 papers (48.7 percent) were found to be inappropriate. Third, 54 episodes (29.7 percent) of the Psychological Sentiment were the most popular topic of sand play therapy. Fourth, 45(35.4 percent) of the mixed research methods were used to study sand play. Fifth, the most common characteristics of intervention in sand play therapy were once a week, 6-10 sessions, and 50-60 minutes. First of all, the proposal for follow-up research needs to expand the period of research to analyze and understand Korea's first sand play therapy research and recent research to understand the overall sand play treatment research trends. Second, a comparative analysis study on the trends of Korean and foreign research will be needed by considering various domestic and foreign papers and academic journals.

자치경찰제는 연구자의 시각과 이해 관계자의 입장에 따라 다양한 의견 제시가 가능하다. 즉, ‘권한 분산’, ‘정치적 중립성’, ‘재정 문제’, ‘총체적 치안안전 역량’을 비롯한 여러 가지 기준을 어떻게 조화롭게 담아내느냐에 따라 한국적 자치경찰의 성패가 좌우된다. 자치경찰제의 본격적 도입을 앞둔 상황에서, 제주자치경찰의 그간 운영 경과와 평가는 요긴한 학습 자료가 되리라 본다. 특히, 경찰청에서 지난해부터 ‘제주자치경찰 사무확대’를 추진 중인데, 이것은 향후 자치경찰 도입을 앞둔 각 지방자치단체의 입장에서는 매우 유익한 참고서가 될 것이다. 제주자치경찰에 대한 이제까지의 평가는 다소 비판적 시각이 우세해 보인다. 하지만, 대다수 평가가 인력･장비･법령･조직을 비롯한 하드웨어 측면의 접근이 많았던 반면, 조직문화와 운영시스템, 사무절차를 비롯한 소프트웨어 측면의 접근은 부족했던 점이 아쉬움을 남긴다. 본 연구에서는 제주자치경찰 사무확대 1년을 맞아 각종 문헌과 보고서, 통계자료, 언론보도 등을 토대로 그간의 성과와 정책적 시사점을 살펴보고자 한다. 연구 결과, 향후 자치경찰제가 연착륙하기 위해서는 먼저, 지방행정과 치안행정의 연계를 강화해야 하고, 둘째, 국가･지방 양 측이 탄탄한 협업 기반을 구축해야 하며, 셋째, 지방자치에 단체자치를 뛰어넘어 주민 자치적 요소를 보강해야 하고, 넷째, 국가･지방 전반에 걸쳐 상황대응 역량을 고도화하는 한편, 끝으로 자치경찰제 도입의 워킹그룹으로서 ‘기관 간 실무협의체’를 활성화해야 한다는 시사점을 이끌어 내었다. 자치경찰제 연구는 현재진행형이다. 후속 연구에서는 더욱 풍성한 자료를 토대로 보다 다양화된 접근 방법을 통해 깊이 있는 연구가 있었으면 한다. 특히, 가외성과 형평성을 비롯한 추가 이념에 대한 고찰이 필요하고, 저출산･노령화와 4차 산업혁명, 통일시대를 비롯한 거시적 트렌드 변화에 맞춰 대한민국 자치경찰의 장기 청사진을 제시하는 연구가 뒤따르기를 열망한다.

According to viewpoints of researchers and stakeholders, various opinions can be suggested on self-governing police system. Therefore, success of Korean self-governing police system will be defending on how to balance among conflicting values such as Empowerment, Political neutrality, Financial issues, Comprehensive competence in maintaining public safety. Before the launching of self-governing police system nation-wide, the experience of Jeju provincial police will be valuable model case. In specific, enlargement of work scope of self-governing police in Jeju province which has been introduced since last year will be a useful reference. There is more pessimism about self-governing police of Jeju province so far. However, this perspective is mostly based on the issue regarding hardwares such as manpower, equipment, law and organization. Issues regarding softwares such as organizational culture, operation system and work process need more attention to evaluate self-governing police system properly. To mark the first year after enlargement of work scope of Jeju police, this study demonstrate the overall result and implications of self-governing police of Jeju province based on documents, statistics, reports and media reports. In result, several preconditions are needed to implement the self-governing police system nation-wide successfully. 1. Strengthen the link between local government and local police 2. Establish the foundation for collaboration of state and local police 3. Enhance the aspect of citizen autonomy in local level 4. Reinforcing the capability of handling situation of state and local police 5. Invigorating the inter-organizational working group to operate self-governing police system effectively. The self-governing police system is unclosed topic to discuss. After this study, in-depth studies should be followed with more resources. Particularly, additional perspective including redundancy and equity need to be considered regarding self-governing police. By getting with the changes of macroscopic trends - lowbirth and aging, the fourth industrial revolution and possible reunification of north and south Koreas – these studies should suggest the long-term blueprint of self-governing police system of Korea.

항공교통관제사와 조종사 사이의 의사소통은 항공기 운항 안전에 있어서 매우 중요한 요소이다. 국제민간항공기구(ICAO)는 민간항공운송산업의 발전과 안전 도모를 위해 조종사 영어자격능력 시험을 의무사항으로 규정하고 있다. 왜냐하면 조종사의 우수한 의사소통능력은 비상상황 또는 비정상상황을 즉각적으로 대응할 수 있는 매우 필수적인 능력들 중 하나이기 때문이다. 대한민국 국토교통부는 2006년부터 ICAO EPTA 시험을 민간항공운송에서 조종사 의무자격시험으로 법적으로 규정하고 산하기관인 교통안전공단을 통해 시험을 주관하고 있다. 본 연구는 EPTA 시험에 응시하는 응시자의 시험에 대한 신뢰성을 증진시키고 시험제도의 발전방안을 모색하고자 하였다. 이를 위해 본 연구는 첫째, EPTA 시험제도와 관련한 이론적 배경을 고찰하였다. 둘째, EPTA 시험제도의 국내에서 정착 및 발전과정을 살펴보았다. 셋째, EPTA 시험제도의 신뢰성증진 및 발전방안 모색을 위해 총 15명의 항공전문가들을 대상으로 질적 연구를 수행하였다. 본론의 질적연구를 통해 연구자들은 국외 ICAO 공식 인증 EPTA 시험결과와 국내 교통안전공단이 주관하는 EPTA 시험결과를 바탕으로 교차응시에 따른 EPTA 등급을 비교·분석할 수 있었으며 시험응시자들에 대한 인터뷰를 통해 국내 EPTA 시험 발전을 위한 개선방안을 도출하였다.

Purpose: This study aimed to investigate the factors affecting nursing students' learning flow in COVID- 19 pandemic situations through mixed-method research. Method: Of the 245 nursing students participating in the survey, 20 participated in a focus group interview. Quantitative data were analyzed using stepwise multiple regression analysis. Qualitative data were analyzed using content analysis. Results: The factors affecting the learning flow of nursing students during the COVID-19 pandemic were their self-regulated learning ability (b ¼ .24, p ¼ .001); learning motivation (b ¼ .23, p ¼ .001); selfefficacy in clinical practice (b ¼ .14, p ¼ .014); and lecture type, or a mixture of recorded and realtime video lectures (b ¼ .13, p ¼ .022). As a result of the qualitative study, eight categories and 22 subcategories were derived. The eight categories are: a lack of preparation in the starting of virtual classes, adapting and growing in a new learning environment, enhancing nursing knowledge and skills through virtual clinical training, self-regulation difficulties when studying alone due to social distancing, difficulty concentrating when learning online, disadvantages of virtual learning, concerns about academic performance, and missing opportunities to enjoy college life. Conclusion: Students attempted to discover their own learning expertise through virtual learning while concerned that they would be unable to fully establish their competence to work as actual hospital nurses due to a lack of clinical practice. In such a learning environment, systematic support and strategies are needed to increase the learning flow of nursing students.

Bullet-screen videos contain rich user-generated data. It is of great practical significance to utilize sentiment analysis technology and topic models to identify video topics by fusing multi-dimensional features. A novel video recommendation method (MSSA) based on multi-source sentiment analysis is proposed by fusing the sentiment features of bullet screens and the topic features of video subtitles. Firstly, the method performs sentiment analysis on the bullet screens and subtitles of videos, and constructs a user sentiment feature matrix and a video sentiment feature matrix. Secondly, the method clusters user groups with similar sentiment tendencies by extracting the temporal information of bullet screens posted by users. Next, the topic feature vectors of subtitle texts in video clips are calculated to obtain the topic similarity matrix among videos by fusing with the video label information. Afterwards, a sentiment-oriented video set is generated according to the differences in sentiment polarity between bullet screens and subtitles. Finally, online recommendation of bullet-screen videos is achieved by introducing a recommendation heat index. The MSSA method is validated on real-world datasets, and it conducts comparative experiments with other state-of-the-art methods to assess its recommendation coverage and accuracy. The experimental results show that the MSSA method can effectively enhance the performance of user sentiment clustering and the semantic alignment of video content topics, enabling it to effectively explore user interest characteristics, and optimize the quality of personalized video recommendation services.

To solve the problems of assembly object variety, volume difference, and texture features not being obvious in the intelligent products assembly process, augmented-reality technology was employed. To improve the feasibility and robustness of the augmented-reality tracking registration algorithm in the product assembly scenarios, combined with the weak texture of product assembly operation objects and the complex scenes, a real-time and robust unmarked tracking registration method was proposed. First, the multimodal approach of LINEMOD was improved to detect the weakly textured assembly target base so that the rough pose of the camera can be obtained and the problem of reinitialization can be solved when the process of tracking registration is interrupted. Then, the iterative closest point (ICP) registration algorithm was improved to accelerate the registration process while accurately positioning the camera pose to determine the benchmark for virtual-real fusion. Finally, based on the pose relationship between the assembly and the assembly guidance information established in the offline phase, visual guidance of the assembly process was realized. A performance analysis and comparison of the proposed tracking registration method show that the proposed method has better accuracy than the LINEMOD template matching method. The visual display of the assembly guidance process shows that the proposed method can be applied to the assembly scene of products lacking texture to realize intelligent assembly.

For the disadvantages of multi-scale geometric analysis methods such as loss of definition and complex selection of rules in image fusion, an improved multi-focus image fusion method is proposed. First, the initial fused image is quickly obtained based on the lifting stationary wavelet transform, and a simple normalized cut is performed on the initial fused image to obtain different segmented regions. Then, the original image is subjected to NSCT transformation and the absolute value of the high frequency component coefficient in each segmented region is calculated. At last, the region with the largest absolute value is selected as the postfusion region, and the fused multi-focus image is obtained by traversing each segment region. Numerical experiments show that the proposed algorithm can not only simplify the selection of fusion rules, but also overcome loss of definition and has validity.

Aiming at the problem of low accuracy in the water boundary automatic extraction of islands from GF-2 remote sensing image with high resolution in three bands, new water edges automatic extraction method in island based on GF-2 remote sensing images, genetic algorithm (GA) method, is proposed in this paper. Firstly, the GA-OTSU threshold segmentation algorithm based on the combination of GA and the maximal inter-class variance method (OTSU) was used to segment the island in GF-2 remote sensing image after pre-processing. Then, the morphological closed operation was used to fill in the holes in the segmented binary image, and the boundary was extracted by the Sobel edge detection operator to obtain the water edge. The experimental results showed that the proposed method was better than the contrast methods in both the segmentation performance and the accuracy of water boundary extraction in island from GF-2 remote sensing images.

Purpose: The main purposes of this study are to identify the degree of effect size and variables related to it, on the effect of physical therapy on shoulder adhesive capsulitis. Methods: This study were collected 8 studies published between 2010.01.01. and 2020.08.01. The Analysis result confirmed 16 effect size data, the random effect model was chosen because of the heterogeneity of the data. Results: First, full case showed the largest mean effect size 3.28 (p<0.001). Second, Size of the effect according to hands on+off intervention the 5.17 (p>0.344). Third, Number of participants showed 15 or more effect size 4.19 (p<0.002). intervention period showed 8 weeks effect size 5.12 (p>0.425). Number of intervention showed 14 or less effect size 3.99 (p>0.061). Publication type showed thesis effect size 4.34 (p<0.003). Finally, 'Trim and Fill' result confirmed that the calibration effect size is 1.71 (p<0.001). Conclusion: We were able to confirm that physical therapy had great effect on shoulders adhesive capsulitis, and that the effect differed according to the methods of intervention, the methods of evaluation.

The purpose of this paper is to attempt the analysis of the 'Positivist' School and the 'Interpretative' School to the Relationship between Theory and Method, Using examples from Criminological Research. The differences between approach of the positivist school and interpretative school are often made very difficult to make an approach. What are more to focus on are the relationships between quantitative research and positivism and qualitative research and interpretative paradigms are often presented as essential connections. Therefore, it is a lot more difficult to imply an appropriate research method and process depends on the subject and field of the research topic. The differences between types of research and also the connections which are made between types of research and theoretical paradigms portray a very simple picture. The danger of this is that two readily available set of research methods and assuming that positivist and interpretative research style represent competing approaches and also that they present 'either-or' alternatives as to strategies of research. For example, in some instances positivist and interpretative's methods do represent alternatives but in some case, positivist and interprativist each other can complement about each other's defects in terms of use of methodology. Though depending according to the specialist of the topic, it needs sensitivity to the potentials and the contributions of different styles of data and different methods of information collection and analysis to the criminological issues under test and to the theoretical questions being asked of them.

최근 관광학 연구 분야에서 질적 연구방법(qualitative research methods)에 대한 관심이 커지고 있으나, 질적 연구방법론에 대한 자료, 실질적인 지침 및 선행연구의 부족으로 인하여 현재까지는 많은 연구가 이루어지지 못하고 있는 실정이다. 중요사건기법(critical incident technique)은 질적 연구의 한 방법으로 서, 어떠한 활동에 긍정적 혹은 부정적인 영향을 미치는 중요한 사건(incident)을 수집한 후 내용분석(content analysis)을 통해 새로운 분류체계를 개발하는 방법이다. 중요사건기법은 귀납적(inductive)인 연구방법론과 내용분석법의 장⋅단점을 모두 가지고 있으나, 다른 질적 연구방법론에 비해 좀 더 과학적(scientific)이고 객관적(objective)이라고 할 수 있다. 본 연구에서는 중요사건 기법을 이용한 세 편의 서비스 조우(service encounters) 연구를 중요사건기법의 절차에 따라 분석함으로써 중요사건기법에 대한 실질적인 지침을 마련하는 동시에, 관광학 연구 분야에 대한 이 기법의 다양한 응용가능성을 제시한다.

비선형적 접근이라는 디지털 특성을 가진 컴퓨터 게임은 초기부터 인터랙티브 스토리텔링을 구현하였으며 오늘날 높은 게임엔진 성능으로 유저는 최소한의 제어로 스토리를주도하면서 영화와 같은 리얼타임 스토리를 감상할 수 있는 인터렉티브 무비 장르가 등장하였다. 높아진 기대수준에 맞는 3D리소스 제작에는 많은 인력과 기간이 필요하며 유저의 요구를 예상하고 연출, 제작, 녹음하는 기존의 제작방식에서 보다 더 효과적인 방안이 필요하다. 이에 게임엔진 리소스 제작량을 줄이면서 다양한 상황의 인터랙션을 구현할 수 있는 방안으로 Advanced Sub-unit interaction 방식을 제안하였다. 이는 향상된 물리엔진과 딥러닝으로 강화한 인공지능을 적극적으로 적용하여 캐릭터의 움직임, 대화, 자연환경 효과 등을 게임엔진에서 리얼타임으로 만드는 생성방식이다. 텐서플로우와 같은무료 딥러닝 라이브러리가 활성화 되고 CNN, RNN 학습법과 함께 GAN학습법이 일반화됨에 따라 인공지능의 결과물은 원본과 구별할 수 없을 만큼의 퀄러티를 보여준다. 또한향상된 물리엔진을 적극적으로 적용하여 주변사물의 디테일한 움직임을 생성할 수 있다. 연구에서 고찰된 내용들은 현재도 구현되는 기술들로서 이를 도입한다면 3D 리소스를직접 제작하지 않고 리얼타임으로 생성할 수 있으며 상황설정과 대화로서 유저가 메인스토리의 흐름을 벗어나지 않고 자연스럽게 따라갈 수 있도록 유도할 수 있을 것이다.

Computer games with the digital characteristics of a non-linear approach have implemented interactive storytelling from the beginning, and today, with high game engine performance, users lead the story with minimal control, and there is an interactive movie genre that allows users to enjoy real-time stories such as movies. Appeared. It requires a lot of manpower and time to produce 3D resources that meet the increased expectations, and a more effective method than the existing production method of predicting, directing, producing, and recording users' needs is needed. Therefore, an advanced sub-unit interaction method was proposed as a way to realize interaction in various situations while reducing the amount of game engine resource production. This is a generation method that actively applies the improved physics engine and artificial intelligence reinforced by deep learning to make the character's movement, dialogue, and natural environment effects in real time in the game engine. As free deep learning libraries such as TensorFlow are activated and GAN learning methods along with CNN and RNN learning methods become generalized, the results of artificial intelligence show a quality that is indistinguishable from the original. In addition, by actively applying the improved physics engine, it is possible to create detailed movements of surrounding objects. The contents considered in the study are technologies that are still implemented, and if they are introduced, 3D resources can be created in real time without directly producing them, and the context setting and dialogue can induce users to naturally follow the flow of the main story. There will be.

스케니메이션의 중요한 요소는 이미지 프레임 수, 틈새의 넓이, 스트라이프 레이어의 넓이이다. 이는 최종적 으로 시각효과에 영향을 미치고 있다. 이 외에 백그라운드 이미지의 사이즈, 스트라이프 레이어와 백그라운드 이미지 의 색깔, 명도 등의 요소도 최종적으로 스케니메이션의 시각적인 효과에 영향을 미칠 수 있다. 본 연구는 스케니메 이션 제작 기법 원리에 근거하여 여러 개의 실험을 하였다. 3D 입체 스케니메이션 제작 기법을 찾고, 이에 대한 문 제를 제시하였으며, 다양한 실험을 통하여 최종 결론을 얻었다. 본 연구 목적은 실험을 통해서 3D 입체 스케니메이 션에서 각 요소가 모션 착시 효과에 어떤 영향을 주는지 증명하고 싶다. 이를 바탕으로 본 연구가 향후 3D 입체 스 케니메이션의 모션 착시 효과에 대한 연구의 참고가 될 수 있기를 기대한다. 그리고 향후도 Z축 활용을 극대화한 스 케니메이션에 대한 연구를 목표로 한다.

The quantity of image frames, the widths of transparent slits, and the black bars on the scanline are the three basic elements of scanimation. Besides, the size of scanimation, the color and contrast of scanimation, and the brightness of scanline, etc, can also influence the optical illusion of scanimation. Based on the recent principle of production of 2D scanimation, and through asking questions, and making corresponding experiment, this research finally gets to the conclusion. Based on the principle of production of 3D scanimation, and through various basic testing, this paper aims to verify how to bring out the best visual effects (optical illusion) of animated illusion scanimation in publications by using the 3D animation in the publications. And the future goal is to study and flexibly use Z-axis space in the scanimation.

Critical infrastructure is the basis for normal operation and healthy development of the city. With the correlation and dependence between critical infrastructures increasingly strengthened, critical infrastructure disasters often bring huge economic losses and serious social impact, and improving emergency response capacity of critical infrastructure has become an important prerequisite for protecting normal operation of the city. With the critical infrastructure as the object of research, based on the correlation feature of critical infrastructure, this paper analyzes the characteristics of scenario construction of critical infrastructure from malleability, influence objects and duration, and presents the method of scenario construction of critical infrastructure, then puts forward an idea of emergency capacity evaluation from three dimensions of accuracy, sufficiency and timeliness. At last, this paper applies the common method to gas multi-gate station incident scenario, which verifies the feasibility of this method.

Earthquake was called The Head of Catastrophe in many countries because of its sudden, wide-ranging, and severe loss characteristics. Due to the density of people, economy and buildings in cities, the development and evolution of the earthquake disaster chain presents more complex and varied systemic features. There have been many studies of seismic scenarios, most of which focus on the simulation of the disaster itself, but little attention has been paid to the disaster mechanism and its control methods within the urban system. In the view of urban systemic characteristics, this paper analyzes the evolution and development of earthquake disaster scenarios in urban systems. Based on the interaction of various elements of the urban system, the content system of urban seismic scenario research is clarified. Finally, considering the dual scenarios of disaster and response, an urban seismic scenario construction method is proposed which covers risk assessment, disaster simulation, task and capability matching, emergency preparedness plan. We hope that this research can develop the urban earthquake scenario research and provide reference for the earthquake disaster reduction.

본 연구는 1990년부터 2018년까지 기간 동안의 항만배후지에 대한 연구동향을 사회네트워크 방법론을 이용하여 분석하는 것을 목적으로 하였다. 연구에 사용된 자료는 전 세계 116개 관련 학술논문 자료에서 추출하였다. 10년 단위로 분석된 연구결과를 살펴보면, 먼저 1990-1999년 사이에는 컨테이너화, 수송 기반시설 및 선진물류 국가에 관련된 이탈리아, 독일, 캐나다 등이 분석지표상 상위에 위치하였다. 2000-2009년 사이에는 지역화, 경쟁력, 아시아국가 화물유치 및 물류기 술 등이 중심적인 위치를 점하였다. 마지막으로 2010-2018년 사이에는 복합운송, 내륙거점, 컨테이너 및 관련 키워드, 해운 및 연관 키워드가 중요하게 연구되었다. 항만배후지 연구동향은 시대가 변화함에 따라 체계화되고 통합적으로 진행되었음 을 확인할 수 있으며. 본 연구결과는 항만배후지와 관련된 학계와 산업계의 산업발전에 대한 이해도 및 연구 집중도에 대한 시사점을 제공한다.

In this paper, the research trends of port hinterland from 1990 to 2018 were analyzed periodically using the Social Network Analysis (SNA) method. The data were collected from major academic journals and totally 116 papers were identified for analysis. The results of the analysis showed that in the first period (1990-1999), keywords can be listed as “containerization”, “transport infrastructure” and developed countries related keywords like “Italy”, “Canada” and “Germany”. The results of the second period (2000-2009) were originated from keywords such as “regionalization”, “competitiveness”, “Asian consolidation” and “technology”. In the third period (2010-2018), the results were derived from keywords such as “intermodal transport”, “dry port”, “container” and container related keywords and “shipping” and shipping related keywords. We could see the studies of port hinterland are becoming more systematic and integrated. This study provides some important implications for both academic, and industrial viewpoints, and it is helpful to understand the research concentration.

본 논문은 체육교과 핵심성취의 관련 개념, 의미, 위계적 관계를 빗대어보고, 학생들의 체육교과 핵심성취를 함양하기 위한 공공체육과목 의무화 사업의 이론 적 근거와 문제점, 그리고 그 대책을 종합적으로 분석하였다. 이를 토대로 기존의 평가지표를 요약하고, 체육교과의 핵심성취에 기초한 대학 필수 공공체육과목의 평가모형을 구성하였다. 지수의 가중치를 산정하기 위해서는 AHP 방법을 이용하 며, 실증연구를 위해서는 퍼지종합평가 방법을 이용한다. 결 과: 평가모형은 과학 적이고 객관적인 6개의 1단계 지수와 21개의 2단계 지수로 구성되어 있으며, 대 학의 공공체육 의무과목 수강생 평가에 적용될 수 있고, 평가를 위한 과학적 참 고자료와 근거를 제공할 수 있다.

This paper combs the relevant concepts, connotations, and hierarchical relationships of the core accomplishment of physical education, and comprehensively analyzes the theoretical basis, problems, and countermeasures of the undertaking of compulsory public physical education courses to cultivate students’ core accomplishment of physical education. On this basis, the existing evaluation indexes are summarized, and the evaluation model of compulsory public physical education courses in universities based on the core accomplishment of physical education is constructed. The AHP method is used to calculate the index weight, and the fuzzy comprehensive evaluation method is used for empirical research. Results: The evaluation model consists of 6 first-level indexes and 21 second-level indexes, which is scientific and objective, and can be applied to the evaluation of students of compulsory public physical education courses in universities, and can provide scientific reference and basis for evaluation.

文献梳理体育学科核心素养的相关概念、内涵及层次关系，逻辑分析高校公共 体育必修课承担培育学生体育学科核心素养的理论依据、问题与对策；以国内外 理论、文献为支撑，归纳已有评价指标，构建基于体育学科核心素养的高校公共 体育必修课学生评价模型；利用AHP层次分析法分析指标权重，利用模糊数学综 合评价法进行实证研究。结果：高校公共体育必修课作为培育大学生体育学科核 心素养有其应然性，所构建的评价模型由6个一级指标、21个二级指标构成是科 学、客观的，可为高校公共体育必修课学生评价指导提供科学的参照和依据。

문화기술지 연구는 다양한 학문 분야에서 연구되고 있다. 본 연구에서는 문화기술지 연구방법을 사용한 박사학위 논문을 분석하였다. 일반적으로 문화기술지는 연구 대상이 되는 집단의 행동과 신념 및 학습된 언어의 패턴에 관심을 가지고 이를 기술하고, 해석하는데 목적이 있다. 이러한 문화기술지는 문화적 집단 내에서 현장연구 를 수행하는 인류학자들에 의해서 발전된 질적 연구의 고전적 형태의 하나이다. 본 연구 결과는 다음과 같다. 첫째, 연구 참여자 수는 10명 이내 32편(44.4%), 11-20명 18편(25%), 21-30명 13편(18.1%), 31-40명 2편(2.7%), 기타 7편(9.8%)으로 나타났다. 둘째, 자료수집 방법은 심층면접 71편(98.6%), 참여관찰 70편(97.2%), 문서자료 38편 (52.7%) 공학적 도구 12편(16.6%) 기타 8편(11.1%)으로 나타났으며, 자료수집 기간은 3-5개월 7편(9.8%), 6-8개 월 15편(20.8%), 9-11개월 14편(19.6%), 12-14개월 13편(18.1%), 15개월 이상 17편(23.6%), 미 제시 4편(5.4%)으 로 나타났다. 셋째, 신뢰성 준거 제시 방법은 트라이앵귤레이션 46편(63.9%), 연구 참여자에 의한 연구 결과의 평가 작업 44편(61.1%), 동료 연구자의 조언과 지적 33편(45.8%), 추적 감사 25편(34.7%), 참조 자료의 사용 20편 (27.8%), 반성적 주관성 17편(23.6%), 충분한 기간 집중적인 관찰 10편(13.9%), 심층적 기술 7편(9.8%), 기타 7편 (9.8%) 순으로 나타났다. 이상과 같이 국내 박사학위 논문에서 사용되고 있는 문화기술지 연구방법, 즉 참여자 수, 자료수집 방법 및 기간, 신뢰성 준거 방법 등은 매우 다양한 방법이 사용되고 있는 것으로 나타났다.

Ethnography is concerned about specifically-based behavior and belief and the learned pattern of language and aims to describe and interpret them. Therefore, it is a classical form of qualitative research that was developed by anthropologists who spent for long time in conducting fieldworks within the cultural group. The results of analyzing ethnographic research methods of doctoral dissertations in Korea are as follows. First, the number of research participants in data collection methods was 1-10(32 dissertations, 44.4%), 11-20(18, 25%), 21-30(13, 18.1%), 31-40(2, 2.7%), and others(7, 9.8%). Second, data collection methods were in-depth interview(71, 98.6%), participant observation(70, 97.2%), document data(38, 52.7%), engineering device(12, 16.6%), and others(8, 11.1%). Data collection periods were 3-5 months(7 dissertation, 9.8%), 6-8 months(15, 20.8%), 9-11 months(14, 19.6%), 12-14 months(13, 18.1%), more than 15 months(17, 23.6%), and unpresented(4, 5.4%). Third, trustworthiness criteria were triangulation(46 dissertation, 63.9%), research participants’ evaluation of study results 44(61.1%), peer researchers’ advice and indication(33, 45.8%), follow-up(25, 34.7%), use of reference(20, 27.8%), reflexive subjectivity(17, 23.6%), intensive observation for a sufficient period(10, 13.9%), in-depth description(7, 9.8%), and others(7, 9.8%).