• Journal of The Korean Association For Science Education
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• v.34 no.2
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• pp.155-163
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• 2014

The present study tries to identify the characteristics of Problem Based Learning (PBL), which affects the development of middle school students' science self-efficacy. Additionally, we have tried to analyze the relationship within those characteristics to demonstrate the processes of science self-efficacy development. In line with this reasoning, we have developed a 20-module, problem-based learning science program and applied this program to 9th grade students (n=17). Two rounds of qualitative interviews have been conducted with each participant after the program, which has been analyzed with the well-documented method by Corbin and Strauss (2007). As a result, three characteristics of problem based learning have been identified to affect the development of science self-efficacy: a) authentic and ill-structured problem sets, b) small group activity, and c) result sharing. Further analysis has revealed that an authentic and ill-structured problem set as a condition precedent of self-efficacy development, while small group activity has worked as an acceleration condition. Lastly, sharing the result works as a transition condition to future interest on science-related activity or choosing science-related majors.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.8
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• pp.667-675
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• 2013

This paper presents vision-based techniques for underwater landmark detection, map-based localization, and SLAM (Simultaneous Localization and Mapping) in structured underwater environments. A variety of underwater tasks require an underwater robot to be able to successfully perform autonomous navigation, but the available sensors for accurate localization are limited. A vision sensor among the available sensors is very useful for performing short range tasks, in spite of harsh underwater conditions including low visibility, noise, and large areas of featureless topography. To overcome these problems and to a utilize vision sensor for underwater localization, we propose a novel vision-based object detection technique to be applied to MCL (Monte Carlo Localization) and EKF (Extended Kalman Filter)-based SLAM algorithms. In the image processing step, a weighted correlation coefficient-based template matching and color-based image segmentation method are proposed to improve the conventional approach. In the localization step, in order to apply the landmark detection results to MCL and EKF-SLAM, dead-reckoning information and landmark detection results are used for prediction and update phases, respectively. The performance of the proposed technique is evaluated by experiments with an underwater robot platform in an indoor water tank and the results are discussed.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.2
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• pp.195-207
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• 2005

Purpose: The purpose of this study was to confirm the change of nursing organizational characteristics and to define the difference of organizational outcome by measuring the organizational commitment and job satisfaction perceived by nursing staffs and patient satisfaction before and after organizational redesign. Method: The structured questionnaires of which contained organizational characteristics, organizational commitment and job satisfaction were developed from previous published studies after modification by researcher. The questionnaires were distributed to 1,200 and 679 nurses before and after nursing organizational change. patient satisfaction were measured before and after organizational change by direct interview with structured questionnaire from 1,566 and 1,291 patients. Results: 1. The organizational characteristics were significantly increased and the leadership of team leader and head nurse was significantly increased among the factors of organizational characteristics. 2. Organizational commitment was showed decreased tendency, but the difference was not significant. Job satisfaction was increased significantly and administration, autonomy, and job tasks were increased significantly in the factors of job satisfaction. Patient satisfaction was also increased significantly. 3. There was significant positive correlation between organizational commitment and job satisfaction and also job satisfaction and nursing organizational characteristics. All factors of organizational characteristics and satisfaction in present working unit were major factors to influence organizational commitment and explained 43.8% in a significant level by multiple regression analysis. The major factor which affect job satisfaction were the factors of nursing organizational characteristic except 'interaction with team leader' and satisfaction in present working unit among general characteristics and these factors explained 58.8% of job satisfaction. Conclusion: In conclusion, the nursing organizational change was very effective to bring about desirable change in nursing organizational characteristics and also to improve job satisfaction and patient satisfaction. Therefore the nursing productivity and comparability would be increased when the nursing organizational change is accomplished by the way of improving the factors of organizational characteristics and it would be followed by the promotion of job satisfaction and organizational commitment.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.311-321
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• 2020

The purpose of the study is to verify the effectiveness the Freshman Preliminary Health Administrators(FPHA)' Empathic Problem Solving Ability(EPSA) through the application of Medical Service Design Thinking(MSDT) conducted by undergraduate school of SNS hospital marketing education. The pre-post questionnaire survey was conducted on 39 students in the freshman year of the Department of Health Administration after applying MSDT for 15 weeks from September to December, 2019 at a college in Daegu. MSDT was positive influenced on the improvement of Empathic Imagine, Empathic interest, Empathic awakening of the FPHA' EPSA. In the analysis of key common words, the use of neutral and negative words was low, while the use of positive words was high. In order to systematically equip Empathic problem solving job competency in the age of artificial intelligence, it is meaningful to develop a program for the freshmen curriculum and to conduct a analysis of the structured and unstructured data to verify its effectiveness. Additional program development research is needed for the application of theoretical subjects.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.42 no.1
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• pp.25-32
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• 2005

In this paper, it is attempted to provide a unified explanation for typical short channel GaAs MESFET’s and SOI-structured Si JFET's behaviors such as: i) drain voltage-induced threshold voltage roll-off, ii) finite output ac resistance beyond the saturation, and iii) weak dependence of the drain saturation current on the channel length. Replacing the conventional GCA with a new assumption that is suggested in order to include the longitudinal field variation, and taking into account the channel current continuity and the field-dependent mobility, we can derive the two-dimensional potential in both depletion region and undepleted conducting channel. Obtained expressions for the threshold voltage and the drain current will be considerably accurate over the entire operating region. Moreover, in comparison with the conventional channel length shortening models, our model seems to be more reasonable in explaining the Early effect.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.6
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• pp.3619-3623
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• 2013

Background: The scientific evidence relating to the burden of oral diseases attributable to tobacco use has been reviewed and the need for a well-structured dental teaching program concentrating on oral cancer education and tobacco cessation interventions has been emphasized. The aim of our study was to evaluate the awareness of oral cancer and perception of tobacco use cessation counseling among dental students at all study levels in India, Saudi Arabia, the United Arab Emirates, and Yemen. Materials and Methods: A structured, pre-tested, self-administered 15-item questionnaire was used to conduct a cross-sectional survey. Data analyses including percentages, frequency distributions and tests of chi-square were generated. Results: A total of 621 (97.6%) Indian, 493 (96.5%) Saudi, 194 (96.5%) Yemeni and 187 (98.4%) United Arab Emirates respondents recognized the association between oral cancer and cigarette smoking. Although more than 96% of the students surveyed recognized the association between oral cancer and cigarette smoking and about 55% reported cigarette smoking as one of the etiological factors of oral cancer, more than 66% of students who reported cigarette smoking as an etiological factor of oral cancer disagreed/strongly disagreed with all the statements concerning tobacco use cessation. Conclusions: A higher level of oral cancer awareness did not have a positive impact on the perception of tobacco use cessation counseling among the sample surveyed.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.151-161
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• 2016

In the era of the Web 2.0, characterized by the openness, sharing and participation, it is easy for internet users to produce and share the data. The amount of the unstructured data which occupies most of the digital world's data has increased exponentially. One of the kinds of the unstructured data called personal online product reviews is necessary for both the company that produces those products and the potential customers who are interested in those products. In order to extract useful information from lots of scattered review data, the process of collecting data, storing, preprocessing, analyzing, and drawing a conclusion is needed. Therefore we introduce the text-mining methodology for applying the natural language process technology to the text format data like product review in order to carry out extracting structured data by using R programming. Also, we introduce the data-mining to derive the purpose-specific customized information from the structured review information drawn by the text-mining.

• Journal of Korean Clinical Health Science
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• v.5 no.2
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• pp.850-863
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• 2017

Purpose. The purpose of this study was to investigate effects of preclinical OSCE(Objective Structured Clinical Evaluation) on knowledge, confidence in their Core fundamental nursing skills and self-efficacy in nursing students. Method. The research design was a one group pretest-posttest design and it was done to assess changes in knowledge, confidence in core fundamental nursing skills and self-efficacy from pre to the post-test which was given after the OSCE. Data were collected from March 5 to April 7, 2016 from 37 nursing students who were taking the 15-hours using OSCE learning module at one Gyeongbuk-do, P-city. This practicum was composed of 4 core fundamental nursing skills and 5 other fundamental nursing skills. The knowledge consisted of a 10-item by researchers and the confidence of core fundamental nursing skills consisted of an 9-item NRS and the self-efficacy consisted of a 17-item 5-point scale and measured in both the pretest and posttest. The collected data were analyzed with SPSS IBM 20.0 program for the frequency, percentage, x2-test, and paired t-test. Rusult. The results showed that although scores of knowledge of OSCE learning module were significanlty increased from 5.22 to 7.03(t=5.30, p<.001). There were significantly increased in scores of confidence in core fundamental nursing skills from 5.13 to 7.27(t=10.01, p<.001), In the sub-scales of each core fundamental nursing skills was scored the highest. otherwise, there was no significant difference in self-efficacy(t=1.42, p=.161). Conclusions. Based on the results, this study suggests that OSCE module development activities for nursing students in nursing education-learning in order to improve nursing skills.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.265-274
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• 2017

This paper examines the problems of big data analysis education and suggests ways to solve them. Big data is a trend that the characteristic of big data is evolving from V3 to V5. For this reason, big data analysis education must take V5 into account. Because increased uncertainty can increase the risk of data analysis, internal and external structured/semi-structured data as well as disturbance factors should be analyzed to improve the reliability of the data. And when using opinion mining, error that is easy to perceive is variability and veracity. The veracity of the data can be increased when data analysis is performed against uncertain situations created by various variables and options. It is the node analysis of the textom(텍스톰) and NodeXL that students and researchers mainly use in the analysis of the association network. Social network analysis should be able to get meaningful results and predict future by analyzing the current situation based on dark data gained.

• Journal of the Korean earth science society
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• v.27 no.4
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• pp.364-373
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• 2006

The purpose of this study is to investigate inquiry levels in the laboratory practices of beginning middle school science teachers. For this research eight teachers were chosen among a pool of beginning teachers. Then four finalists were chosen individually by interviews. Topics associated with hands-on activity experiments were provided by the author. In order to analyze teaching-skill development, classroom observations were made under the same topic after one year. The inquiry levels of four novice teachers were confirmation or structured inquiry but the inquiry levels were not out of confirmation or structured inquiry levels when those compared to last year's one. This study contributes to the professional development of teachers and provides various informations for instructional development of beginning teachers.