• Title/Summary/Keyword: Subjective learning

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Knowledge Management Activity and Performance of University Hospital Employees (대학병원직원의 지식경영활동과 성과에 관한 연구)

  • Lee, Hyun-Sook
    • Health Policy and Management
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    • v.24 no.3
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    • pp.291-300
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    • 2014
  • Background: The efficient knowledge management in hospital organization is generally known as the important activities relevant to employees' knowledge sharing behavior and work performance. This research examined factors affecting employees' knowledge sharing behavior and work performance in top 4 university hospitals. This study is based on individual factors such as incentives, reciprocity, behavioral control, and subjective norms. Also, there are organizational factors such as CEO support, learning climate, IT system, rewards system, and trust. Methods: Data was collected from employees who are working at 3 hospitals university in Seoul and 1 university hospital in Gyeonggi-Do through the self-administered questionnaires. A total of 779 questionnaires were analyzed by PASW SPSS ver. 18.0. (SPSS Inc., Chicago, IL, USA). Results: The significant variables affecting knowledge sharing behavior are behavioral control (in individual factor) and CEO, IT system, and trust (in organization factor). Also the significant variables affecting work performance are incentives, reciprocity, subjective norms, and behavioral control (in individual factor) and CEO support, IT system, reward system, and trust (in organization factor). Conclusion: The personality and organization characteristics factors is important to improve knowledge sharing behavior and work performance of hospital employees. Therefore, to make more efficient knowledge management is to build and system knowledge sharing culture, system, and leadership and to develop practical strategies.

Analysis of the effects of capstone design class utilizing the design thinking technique of class satisfaction of college students (디자인씽킹 기법을 활용한 캡스톤디자인 수업이 대학생의 수업 만족도에 미치는 효과 분석)

  • Lee, Seung Hee;Jung, Hyo Kyung
    • Journal of Technologic Dentistry
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    • v.42 no.4
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    • pp.394-401
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    • 2020
  • Purpose: The present study is an analysis of the extents of class satisfaction of college students who had applied the design thinking technique to capstone design class. Methods: The experimental method involved an analysis of 122 cases of data where advance and post replies were performed for the subject by students who had applied the design thinking technique and students who had not. The students involved had attended the capstone design class as a junior in the Department of Dental Technology at D University. Results: In the satisfaction with performance process of the capstone design class, five questions among nine had a high positive rating, while all eight questions on the satisfaction with performance methods had a high negative rating. Among ten questions on subjective learning outcomes, six showed a high positive rating. After the application of the design thinking class method, all mean values of the group with the application were higher than the group with no application in satisfaction with performance process, satisfaction with performance method, and subjective class outcomes. Hence, the design thinking class did have positive effects on the students' improvement of class. Conclusion: Based on the results of the study, it is implied that the considerations about diverse class composition methods and operation methods capable of improving the students' satisfaction are needed for efficient operation of the capstone design class.

A Pilot Study of Improving the Atmospheric Environment of Classroom for Students' Learning Activities

  • Kim, Tae-Han;Lee, Hanju;Choi, Boo-Hun;Hyun, Hye Sun
    • Journal of People, Plants, and Environment
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    • v.24 no.2
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    • pp.179-194
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    • 2021
  • Background and objective: Plant-based biofilter system has become a promising candidate for improving indoor air quality due to its eco-friendly and sustainable nature. However, it remains controversial whether indoor air purification using a biofilter is effective. Methods: This study used the one-group pre- and post-test design to analyze the effects of the operation of the plant-based biofilter system on indoor air quality, students' perception of indoor air quality, health effects, and subjective and objective attentiveness. Results: Results of this study show that the application of the plant-based biofilter system changed the air environment in the classroom. The operation of the plant-based biofilter system significantly decreased PM2.5 and PM10 and slightly increased temperature and humidity. Satisfaction with air quality and subjective attentiveness were significantly improved but objective attentiveness and health effects were not improved. Conclusion: Further studies need to be conducted for improving indoor air quality of schools and evaluating the health effects and attention of occupants to present the objective performance of the plant-based biofilter system.

A Study used Q-methodology on the Subjective Cognition-Patterns of School Aged Children with Borderline Intelligence Function to the School (학령기 경계선 지능 아동의 학교에 대한 주관적 인식 유형 연구: Q방법론 적용)

  • Lee, Keum Jin
    • The Journal of the Korea Contents Association
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    • v.17 no.2
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    • pp.384-393
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    • 2017
  • The purpose of this study was to find out the subjective cognition-patterns of school aged children with borderline intelligence function to the School using Q Methodology. Q-sample was included 21 statements obtained from literatures and in-depth interviews with 4 specialist & 4 children with borderline intelligence function. P-sample was consisted through the consent of 18 children with borderline intelligence function and their parents. The 21 selected Q-statements were classified into a normal distribution using a 5 point scale. The collected data analyzed using a Quanl PC program. This study found out two subjective cognition-patterns of school aged children with borderline intelligence function to the school. Two types were 'participatory & dependent type', and 'onlooking & atrophic type'. This research finding can be used to make clear understanding on diverse voices of school aged children with borderline intelligence function to the School. And this result will attribute to mediations of educational welfare practice for maintaining a safe & healthy learning environment.

Study on the Effect of Action Learning Application through Basic Practical Skills Improvement Program of Underachievers College Student of Cooking Practice Subject (조리실습과목 학습부진 대학생의 기초실무능력향상 프로그램을 통한 액션러닝 적용 효과)

  • Kim, Yang-Hoon
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.454-462
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    • 2021
  • The purpose of this study was to identify learners with poor learning in basic cooking practice subjects for college students majoring in cooking, operate a basic practical ability improvement program, and apply an action learning teaching method. We tried to analyze the subjective perception of learners using the Q methodology. In addition, it was intended to improve the major competencies for the operation of practical programs related to cooking training, field training, and employment of learners. The survey was conducted from May 1st to 20th, 2020 for first-year students in C cuisine major. As a result of the analysis, a total of three types were derived. Type 1 (N=7): Self-directed learning effect type, Type 2 (N=8): Problem Solving Effect Types, Type 3 (N=6): Peer learning effect type, each unique feature type Was analyzed as. Through the progress of this study and the derivation of implications, it is expected that it will be useful data for the application of teaching and learning methods related to practical work and program operation in cooking-related departments.

An Evaluation Study of an ESP Module Program Combining with Keller's Learning Motivation Model for the 1st grade Nursing Students (학습동기모델과 특수목적영어 융합 모듈 프로그램 평가연구: 간호학과 신입생을 대상으로)

  • An, Seon uk
    • Journal of the Korea Convergence Society
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    • v.9 no.5
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    • pp.257-267
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    • 2018
  • The purpose of this study was to evaluate the effects of an ESP module program which combines Keller's ARCS model for the $1^{st}$ grade nursing students. Students' learning motivation and academic achievement were compared between an intervention group and a control group and their perception and subjective effects on the module program were identified. Quantitative data showed that the overall level of learning motivation in the intervention group was significantly higher than that in the control group (t=2.391, p=.019). No significant difference was found on the level of academic achievement between two groups (t=0.116, p=.098). Contents analysis on the qualitative data showed that ESP module program was interesting, effective, helpful for understanding clinical settings, and giving confidence and satisfaction. According to the result, it is assumed that the ESP module program which combines ARCS model can be effective in motivating the $1^{st}$ grade nursing students to learn nursing contents and English.

Low-dose CT Image Denoising Using Classification Densely Connected Residual Network

  • Ming, Jun;Yi, Benshun;Zhang, Yungang;Li, Huixin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.6
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    • pp.2480-2496
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    • 2020
  • Considering that high-dose X-ray radiation during CT scans may bring potential risks to patients, in the medical imaging industry there has been increasing emphasis on low-dose CT. Due to complex statistical characteristics of noise found in low-dose CT images, many traditional methods are difficult to preserve structural details effectively while suppressing noise and artifacts. Inspired by the deep learning techniques, we propose a densely connected residual network (DCRN) for low-dose CT image noise cancelation, which combines the ideas of dense connection with residual learning. On one hand, dense connection maximizes information flow between layers in the network, which is beneficial to maintain structural details when denoising images. On the other hand, residual learning paired with batch normalization would allow for decreased training speed and better noise reduction performance in images. The experiments are performed on the 100 CT images selected from a public medical dataset-TCIA(The Cancer Imaging Archive). Compared with the other three competitive denoising algorithms, both subjective visual effect and objective evaluation indexes which include PSNR, RMSE, MAE and SSIM show that the proposed network can improve LDCT images quality more effectively while maintaining a low computational cost. In the objective evaluation indexes, the highest PSNR 33.67, RMSE 5.659, MAE 1.965 and SSIM 0.9434 are achieved by the proposed method. Especially for RMSE, compare with the best performing algorithm in the comparison algorithms, the proposed network increases it by 7 percentage points.

A Study on Deep Learning Binary Classification of Prostate Pathological Images Using Multiple Image Enhancement Techniques (다양한 이미지 향상 기법을 사용한 전립선 병리영상 딥러닝 이진 분류 연구)

  • Park, Hyeon-Gyun;Bhattacharjee, Subrata;Deekshitha, Prakash;Kim, Cho-Hee;Choi, Heung-Kook
    • Journal of Korea Multimedia Society
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    • v.23 no.4
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    • pp.539-548
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    • 2020
  • Deep learning technology is currently being used and applied in many different fields. Convolution neural network (CNN) is a method of artificial neural networks in deep learning, which is commonly used for analyzing different types of images through classification. In the conventional classification of histopathology images of prostate carcinomas, the rating of cancer is classified by human subjective observation. However, this approach has produced to some misdiagnosing of cancer grading. To solve this problem, CNN based classification method is proposed in this paper, to train the histological images and classify the prostate cancer grading into two classes of the benign and malignant. The CNN architecture used in this paper is based on the VGG models, which is specialized for image classification. However, color normalization was performed based on the contrast enhancement technique, and the normalized images were used for CNN training, to compare the classification results of both original and normalized images. In all cases, accuracy was over 90%, accuracy of the original was 96%, accuracy of other cases was higher, and loss was the lowest with 9%.

An Improved VTON (Virtual-Try-On) Algorithm using a Pair of Cloth and Human Image (이미지를 사용한 가상의상착용을 위한 개선된 알고리즘)

  • Minar, Matiur Rahman;Tuan, Thai Thanh;Ahn, Heejune
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.2
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    • pp.11-18
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    • 2020
  • Recently, a series of studies on virtual try-on (VTON) using images have been published. A comparison study analyzed representative methods, SCMM-based non-deep learning method, deep learning based VITON and CP-VITON, using costumes and user images according to the posture and body type of the person, the degree of occlusion of the clothes, and the characteristics of the clothes. In this paper, we tackle the problems observed in the best performing CP-VTON. The issues tackled are the problem of segmentation of the subject, pixel generation of un-intended area, missing warped cloth mask and the cost function used in the learning, and limited the algorithm to improve it. The results show some improvement in SSIM, and significantly in subjective evaluation.

A Study on Intention to Solve the Problem via the Prior Experience of Creativity Programs based on the Action Learning Methodology (액션러닝방법론에 기반한 창의성프로그램 참여경험에 따른 문제해결의도의 영향에 관한 연구)

  • Kim, Soung-Hyun;Park, JaeSung
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.73-83
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    • 2021
  • This study identified the factors that influence the problem solving intention of students who completed the action learning-based creativity programs based on the theory of reasoned action, and examined the influence relationship between these factors. As a result of the study, first, subjective norms of problem solving had a positive effect on problem solving intention, and second, attitude toward problem solving had a significant effect on problem solving intention. Third, it was found that students who had experience of participating in a patent education program applying the action learning methodology had a positive effect on the relationship between their attitude toward problem solving and their intention to solve the problem. These findings confirmed that in order to enhance the problem-solving intention, which is the basis for creativity of university students, it is important to spread the positive value of problem-solving within the university and to give students a positive attitude toward problem solving.