• Title/Summary/Keyword: 적응식 학습

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Effect of Motive for Major Selection on Major Satisfaction, Campus-life Satisfaction, and Self-directed Learning Ability among Nursing Students (간호대학생의 전공선택동기가 전공만족도, 대학생활만족도 및 자기주도 학습능력에 미치는 영향)

  • Kim, Yu-Jeong;Yoo, Hana;Park, Mijeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.261-270
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    • 2016
  • This study attempted to survey nursing students' motives for choosing nursing as their major, and to examine how such motives affect their satisfaction with their major, campus-life satisfaction, and self-directed learning ability. This study was conducted as a descriptive survey. Data were collected using a self-report questionnaire during the period from the 1st to 15th of April, 2015, and the questionnaires from 195 nursing students were used in the analysis using Fisher's exact test, t-test, one way ANOVA, Mann Whitney test, and ANCOVA. Only 41.5% of the nursing students chose nursing as their major because of their aptitude and interest. The motive for the selection of the major was found to have a significant effect on their satisfaction with the major (p<.001), campus-life satisfaction (p=.008), and self-directed learning ability (p=.001). Middle and high school students should be provided with various types of information on nursing, so that they can have the opportunity to choose nursing based on their aptitude and interest before entering university. Once they start university, nursing students' adjustment to campus-life and learning ability should be enhanced through various extracurricular activity programs in order to stimulate their interest in the major.

The Relationship among Coach Support, Resilience and Self-Rated Health for Golf Participants (골프참여자의 코치지원과 적응유연성 및 주관적 건강의 관계)

  • Kim, Hyung-Jin
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.1
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    • pp.228-240
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    • 2021
  • This study was conducted with the goal of establishing a foothold for lifelong sports as well as establishing golf as a desirable leisure activity through the analysis of the relationship between golf participants' coach support, resilience and self-rated health. To achieve the goal of this study, a total of 300 questionnaires were distributed and 300 copies were collected back. Out of those returned questionnaires, insincerely replied or double-replied questionnaires were excluded and finally 278 questionnaires were analyzed for this study. For analysis of the data, frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equating modeling were conducted using SPSS 18.0 and AMOS 18.0. Main findings were as follows: First coach support had a positive effect on resilience. Second, resilience had a positive effect on self-rated health. Third, coach support had a positive effect on self-rated health. Fourth, resilience mediated the relationship between golf participant coach support and self-rated health. Therefore, golf instructors should achieve specialization and diversification of educational programs through continuous learning about various teaching methods.

Object Detection and Tracking using Bayesian Classifier in Surveillance (서베일런스에서 베이지안 분류기를 이용한 객체 검출 및 추적)

  • Kang, Sung-Kwan;Choi, Kyong-Ho;Chung, Kyung-Yong;Lee, Jung-Hyun
    • Journal of Digital Convergence
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    • v.10 no.6
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    • pp.297-302
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    • 2012
  • In this paper, we present a object detection and tracking method based on image context analysis. It is robust from the image variations such as complicated background, dynamic movement of the object. Image context analysis is carried out using the hybrid network of k-means and RBF. The proposed object detection employs context-driven adaptive Bayesian framework to relive the effect due to uneven object images. The proposed method used feature vector generator using 2D Haar wavelet transform and the Bayesian discriminant method in order to enhance the speed of learning. The system took less time to learn, and learning in a wide variety of data showed consistent results. After we developed the proposed method was applied to real-world environment. As a result, in the case of the object to detect pass outside expected area or other changes in the uncertain reaction showed that stable. The experimental results show that the proposed approach can achieve superior performance using various data sets to previously methods.

The effect of un-contact lecturess on dental hygiene and students' self-directed learning ability and learning immersion on major satisfaction in the COVID-19 situation (코로나 19 상황에서 비대면 수업이 치위생과 학생들의 자기 주도적 학습능력 및 학습몰입이 전공만족도에 미치는 영향)

  • Doe, Yue-Jeong;Min, Hee-Hong
    • Journal of Industrial Convergence
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    • v.20 no.2
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    • pp.71-78
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    • 2022
  • This study intends to present a desirable vision so that students can focus on their studies and adapt to the dental hygiene major education perceived by dental hygiene students in un-contact lecturess situations by preparing measures to increase student satisfaction with the dental hygiene department. Data collection was conducted using a self-reported questionnaire from students in the dental hygiene department at universities in Seoul, Chungcheong, and Gangwon from June 20 to August 19, 2021. Variables according to the general characteristics of the subjects were analyzed using t-test and one-way ANOVA, and the post hoc test was verified by Tukey. The correlation between variables was Pearson's correlation, and the factors affecting dental hygiene and students' major satisfaction were multiple regression. The self-directed learning ability of dental hygiene students was 3.57 points, learning immersion was 3.02 points, and major satisfaction was 3.54 points. Dental hygiene students were found to have higher major satisfaction with higher grades, higher college life satisfaction, and higher learning immersion and self-directed learning ability. Therefore, it was found that systematic program development and application is necessary to improve major satisfaction in difficult circumstances due to COVID-19.

The Effects of Individuality and Relationship of University Freshman on College Life Adaptation (대학교 신입생의 개별성 및 관계성이 대학생활적응에 미치는 영향)

  • Yoo, Yong-Shik
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.4
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    • pp.271-281
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    • 2019
  • The purpose of this study is to provide basic data for improving the adaptability of college life by examining the effects of individuality and relationship of university freshmen on college life adaptation. The study subjects were 383 freshmen enrolled in a university in Chungbuk C City, and a multiple regression analysis was conducted to examine the factors of impact. The first study found that boys were more individual in genders, depending on the general characteristics. Extroverted students were more relational. In the majors, students in the humanities and social sciences were more related, and students in the natural engineering department were more individual. Second, the lower factors affecting college students' adaptation to college life were found to be autonomous in individuality, and affinity and intimacy in relation. In particular, autonomy has the greatest impact on adaptation to college life, followed by affinity and intimacy. Based on these results, policy suggestions are needed first, it is necessary to balance and balance individuality and relationship. second, it is necessary to create activities and learning environments that you can choose for yourself. third, it is necessary to develop programs to promote affinity and intimacy such as department events and club activities. fourth, emotional and psychological program support through face-to-face contact should be activated to improve individuality and relationship.

Adaptive Process Decision-Making with Simulation and Regression Models (시뮬레이션과 회귀분석을 연계한 적응형 공정의사결정방법)

  • Lee, Byung-Hoon;Yoon, Sung-Wook;Jeong, Suk-Jae
    • Journal of the Korea Society for Simulation
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    • v.23 no.4
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    • pp.203-210
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    • 2014
  • This study proposes adaptive decision making method having feed-back structure of regression and simulation models to support the quick decision making of production managers by managing and integrating the mutual relationship among historical data. For that, from historical data that have extracted and accumulated from each process, we first selected major constraint resources that are used as independent variables in regression model. The regression model is designed by using the dependent variables (objectives) that defined above by managers and independent variables selected in previous step and simulation model that are composed of constraint resources is designed. In process of simulation run, we obtain the multiple feasible solutions (alternatives) by using meta-heuristic method. Each solution is substituted by regression equation and we found the optimal solution that is minimum of difference between values obtained by regression model and simulation results. The optimal solution is delivered and incorporated to production site and current operation results from production site is used to generate new regression model after that time.

Fast Motion Estimation Algorithm Using Motion Vector Prediction and Neural Network (움직임 예측과 신경 회로망을 이용한 고속 움직임 추정 알고리즘)

  • 최정현;이경환;이법기;정원식;김경규;김덕규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.9A
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    • pp.1411-1418
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    • 1999
  • In this paper, we propose a fast motion estimation algorithm using motion prediction and neural network. Considering that the motion vectors have high spatial correlation, the motion vector of current block is predicted by those of neighboring blocks. The codebook of motion vector is designed by Kohonen self-organizing feature map(KSFM) learning algorithm which has a fast learning speed and 2-D adaptive chararteristics. Since the similar codevectors are closely located in the 2-D codebook the motion is progressively estimated from the predicted codevector in the codebook. Computer simulation results show that the proposed method has a good performance with reduced computational complexity.

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Creation and labeling of multiple phonotopic maps using a hierarchical self-organizing classifier (계층적 자기조직화 분류기를 이용한 다수 음성자판의 생성과 레이블링)

  • Chung, Dam;Lee, Kee-Cheol;Byun, Young-Tai
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.3
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    • pp.600-611
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    • 1996
  • Recently, neural network-based speech recognition has been studied to utilize the adaptivity and learnability of neural network models. However, conventional neural network models have difficulty in the co-articulation processing and the boundary detection of similar phonmes of the Korean speech. Also, in case of using one phonotopic map, learning speed may dramatically increase and inaccuracies may be caused because homogeneous learning and recognition method should be applied for heterogenous data. Hence, in this paper, a neural net typewriter has been designed using a hierarchical self-organizing classifier(HSOC), and related algorithms are presented. This HSOC, during its learing stage, distributed phoneme data on hierarchically structured multiple phonotopic maps, using Kohonen's self-organizing feature maps(SOFM). Presented and experimented in this paper were the algorithms for deciding the number of maps, map sizes, the selection of phonemes and their placement per map, an approapriate learning and preprocessing method per map. If maps are divided according to a priorlinguistic knowledge, we would have difficulty in acquiring linguistic knowledge and how to alpply it(e.g., processing extended phonemes). Contrarily, our HSOC has an advantage that multiple phonotopic maps suitable for given input data are self-organizable. The resulting three korean phonotopic maps are optimally labelled and have their own optimal preprocessing schemes, and also confirm to the conventional linguistic knowledge.

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Study on Water Stage Prediction using Neuro-Fuzzy with Genetic Algorithm (Neuro-Fuzzy와 유전자알고리즘을 이용한 수위 예측에 관한 연구)

  • Yeo, Woon-Ki;Seo, Young-Min;Jee, Hong-Kee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.382-382
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    • 2011
  • 최근의 극심한 기상이변으로 인하여 발생되는 유출량의 예측에 관한 사항은 치수 이수는 물론 방재의 측면에서도 역시 매우 중요한 관심사로 부각되고 있다. 강우-유출 관계는 유역의 수많은 시 공간적 변수들에 의해 영향을 받기 때문에 매우 복잡하여 예측하기 힘든 요소이며, 과거에는 추계학적 예측모형이나 확정론적 예측모형 혹은 경험적 모형 등을 사용하여 유출량을 예측하였으나 최근에는 인공신경망과 퍼지모형 그리고 유전자 알고리즘과 같은 인공지능기반의 모형들이 많이 사용되고 있다. 하지만 유출량을 예측하고자 할 때 학습자료 및 검정자료로써 사용되는 유출량은 수위-유량 관계곡선식으로부터 구하는 경우가 대부분으로 이는 이렇게 유도된 유출량의 경우 오차가 크기 때문에 그 신뢰성에 문제가 있을 것으로 판단된다. 따라서 본 논문에서는 수위를 직접 예측함으로써 이러한 오차의 문제점을 극복 하고자 한다. Neuro-Fuzzy 모형은 과거자료의 입 출력 패턴에서 정보를 추출하여 지식으로 보유하고, 이를 근거로 새로운 상황에 대한 해답을 제시하도록 하는 인공지능분야의 학습기법으로 인간이 과거의 경험과 훈련으로 지식을 축적하듯이 시스템의 입 출력에 의하여 소속함수를 최적화함으로서 모형의 구조를 스스로 조직화한다. 따라서 수학적 알고리즘의 적용이 어려운 강우와 유출관계를 하천유역이라는 시스템에서 발생된 신호체계의 입 출력패턴으로 간주하고 인간의 사고과정을 근거로 추론과정을 거쳐 수문계의 예측에 적용할 수 있을 것이다. 유전자 알고리즘은 적자생존의 생물학 원리에 바탕을 둔 최적화 기법중의 하나로 자연계의 생명체 중 환경에 잘 적응한 개체가 좀 더 많은 자손을 남길 수 있다는 자연선택 과정과 유전자의 변화를 통해서 좋은 방향으로 발전해 나간다는 자연 진화의 과정인 자연계의 유전자 메커니즘에 바탕을 둔 탐색 알고리즘이다. 즉, 자연계의 유전과 진화 메커니즘을 공학적으로 모델화함으로써 잠재적인 해의 후보들을 모아 군집을 형성한 뒤 서로간의 교배 혹은 변이를 통해서 최적 해를 찾는 계산 모델이다. 이러한 유전자 알고리즘은 전역 샘플링을 중심으로 한 수법으로 해 공간상에서 유전자의 개수만큼 복수의 탐색점을 설정할 뿐만 아니라 교배와 돌연변이 등으로 좁아지는 탐색점 바깥의 영역으로 탐색을 확장할 수 있기 때문에 지역해에 빠질 위험성이 크게 줄어든다. 따라서 예측과 패턴인식에 강한 뉴로퍼지 모형의 해 탐색방법을 유전자 알고리즘을 사용한다면 보다 정확한 해를 찾는 것이 가능할 것으로 판단된다. 따라서 본 논문에서는 선행우량 및 상류의 수위자료로부터 하류의 단시간 수위예측에 관해 연구하였으며, 이를 위해 유전자 알고리즘을 이용항여 소속함수를 최적화 시키는 형태의 Neuro-Fuzzy모형에 대하여 연구하였다.

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대중문화와 폭력성

  • Kim, Gwang-Hwan
    • Cartoon and Animation Studies
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    • s.5
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    • pp.440-446
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    • 2001
  • 폭력의 발생 원인은 다양하고 그 표현 방식도 여러 가지 양상으로 나타나지만 인간의 기저에 갖고 있는 일반적 원인은 욕구불만이다. 욕구불만의 해소가 이루어지지 않은 상태에서의 인간은 항상 폭력성이 잠재되어있는 상태가 된다고 볼 수 있다. 윌리엄 맥두걸은 본능이 인간행동에 동기를 부여하는 가장 중요한 요인이며, 지각과 정서보다 동기의 힘을 강조했다. 사람은 본능이 동기를 부여해 준 것을 지각하고 적절한 대상이 지각되면 그 대상은 행동을 자극하는 감정변화를 일으킨다. 이러한 검정변화를 충동이라 할 수 있는데 지그문트 프로이드는 인간의 많은행동이 불합리한 본능적 충동에 바탕을 둔다고 보고 있다. 충동은 대개 생리적인 긴장, 결핍,또는 불균형상태에 뿌리는 두며 충족되어야 할 절박한기본 욕구로 유기체에 행동을 강요한다. 충동은 선천적이며, 기본적인 생리적 욕구와 직접적으로 관련된 충동과 학습을 통한 모방충동, 약물복용의 반복적으로 인한 양물중독이 있고, 성취, 활동, 친화, 호기심, 배설, 탐구, 조작, 모성애, 고통회피, 성애, 수면 등 인간의 생활에 반영되는 거의 모든 욕구를 포함한다. 따라서 욕구의 해소를 위해 무엇인가를 해야만 하는 인간은 욕구의 억압상태나 좌절상태에서 심한 분노와 폭력의 충동을 느끼게 된다. 현대 심층심리학은 어린이들이 말을 충분히 자유자재로 구사하기 전에 겪고 억누르게 된 무시무시한 분노의 환상을 가지고 있는데,. 공포예술의 무시무시한 영상들이 결부되어있다는 것이 밝혀졌다. 픽카드(P.M. Pickard)에 의하면 어린아이는 그들의 내적 현실을 외적 현실을 적응시키려는 힘겨운 투쟁 속에 근친상간적 갈등, 흡혈귀, 살인, 식인 등 끔찍한 환상을 겪는 것 간다고 한다. 청소년기는 사회적 부적응기로서 현실과 어릴 적 꿈꿔왔던 이상과의 괴리감에서 오는 당혹과 분노가 발생되는데, 이 시기에 많은 청소년들이 극단적인 선정적인 폭력성에 탐닉하게 되는 경향이 있다. 현실은 결코 아름답지 못하고, 행복하게 살 수 없다는 것에 대한 깨달음에서 기인한다. 욕구불만의 강도가 심해질수록 폭력성은 더욱 강하게 나타나는데 개인에게서 뿐만 아니라 가족, 동료, 사회 단체나 종교, 국가간에도 집단적으로도 발생하게 된다. 사회적으로 볼 때 폭력은 용인되는 것이 아니므로 도덕적으로 절제를 하거나 상대방과 적절한 타협과 조정을 필요로 한다. 그러나 절제의 한계를 넘어선다고 생각되거나, 조정의 노력이 불가능하거나, 실패했을 때 폭력적인 행동으로 나타나게 된다. 리차즈(I.A Richards)는 분노와 공포는 일단 겉잡을 수 없는 경향이 있다고 하면서 오늘날 폭력에 대한 요구가 일상의 정서 생활에 있어, 억압을 통한, 빈곤함을 반영하고 있지 않은지 생각해봐야 할 것이라고 충고한다.

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