• Journal of Korean Academy of Nursing
• /
• v.53 no.6
• /
• pp.571-583
• /
• 2023

Purpose: This study used a self-deterministic approach to explore the relationship between emotional intelligence (EI), academic motivation (AM), and achievement among health science students. Methods: A descriptive cross-sectional study was conducted in three cities of Saudi Arabia (Dammam, Riyadh, and Jeddah). A convenience sample of 450 students was incorporated using the multistage cluster sampling technique. The online survey contained three sections: students' basic data and academic achievement level, the modified Schutte self-report inventory, and the Academic Motivation Scale lowercase. Results: This study revealed moderate overall scores for EI (57.1%), AM (55.6%), and grade point average (GPA) (57.6%). The overall EI score, its domains, and GPA had significant positive correlations with overall AM and intrinsic and extrinsic motivation (p < .01). Amotivation had an insignificant correlation with GPA (p < .05), but it was negatively correlated with EI and its domains (p < .01). Multiple regression analysis proved that EI domains predicted 5.0% of GPA variance; emotions appraisal and expression (β = .02, p = .024), regulation (β = .11, p = .032), and utilization (β = .24, p < .01). EI domains also predicted 26.0% of AM variance; emotions appraisal and expression (β = .11, p = .04), regulation (β = .33, p < .01), and utilization (β = .23, p < .01). Moreover, AM predicted 4.0% of the variance in GPA; intrinsic (β = .25, p = .004) and extrinsic (β = .11, p = .022) motivation. AM also predicted 25.0% of the variance in EI: intrinsic (β = .34, p < .01) and extrinsic motivation (β = .26, p = .026). Conclusion: EI and AM have a bidirectional influence on each other, significantly shaping the GPA of health sciences students in Saudi Arabia, where intrinsic motivation has a predominant role. Thus, promoting students' AM and EI is recommended to foster their academic achievement.

• (The) Korean Journal of Educational Psychology
• /
• v.23 no.3
• /
• pp.645-663
• /
• 2009

The purpose of this study is to develop and verify a Korean Diagnostic Scale of Multiple Intelligence(MI), which will be an alternative test to avoid problems with former Shearer's MI test and to adopt H. Gardner's suggestions to develop MI assessment. The test is developed 5 types; kindergartner, elementary lower grader, elementary upper grader, middle schooler, high schooler test. A form of test is diversified with 3 types; multiple-choice items for accomplishment, true or false items for ability, and self-reported items with likert scale for interest and ability. According to H. Gardner's suggestions, we have tried to reanalyze key component of MI, analyze an overlapping or hierarchical relationship between intelligences, develop intelligences-fair items, diversify form of item. We have developed a final standardized test through a primary, secondary preliminary-test analysis, and sampled 5,585 students by age, gender, and regional groups. As a result of this sampling test, we can get a norm score and compare individuals with other's score relatively. To verify this test, we analyzed behavior observation, mean, standard deviation, a percentage of correct answers, reliability of each test type, correlation between intelligence scales, Kruskal-Wallis test of mean rank of career choice by intelligences. As a result of correlation analysis between sub-intelligence scales, we can conclude that this MI test is satisfied with intelligence independent assumption. Besides, as non-parametric statistics test(Kruskal-Wallis) of career choice by intelligences, we can identify that MI is related with domain of career choice. This test is not a linguistic and logical-mathematical biased test but a intelligences-fair test. It makes us compare individual's potential with a norm score. Besides, it could be useful as a means of educational prescription or counsel in comparison with ability, interest, and accomplishment of individual. But this test is limited to do factor or correlation analysis between types of sub-test, because items are minimized for a time-constraint and a heavy burden of test receiver. But if it could be tested with increased items by two sessions, further research could be expected to get over this constraints and do a further validation analysis.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.16 no.2
• /
• pp.211-218
• /
• 2005

Objectives : The purpose of the study was to evaluate the related factors of depression in mothers bringing their offspring for evaluation or treatment of problematic behaviors. Methods : Fifty mothers were recruited through their offspring's evaluation or treatment for offspring's problematic behaviors. Psychological tests battery including Korean Wechsler Adult Intelligence Scale and the Korean Educational Development Institute-Wechsler Intelligence Scale for Children was administered to all mothers and their offspring. Mothers completed Korean version of Child Behavior Checklist (K-CBCL), and teachers completed Teacher's Report Form (TRF). On the basis of the maternal depression, the mothers were divided into two groups. Results : 1) Among the fifty mothers, $42\%$ of the mothers had depressive disorder, $16\%$ had anxiety disorder, and $42\%$ had no psychiatric disorder. 2) Depressed mothers rated significantly higher in aggressive behaviors, externalizing problems of K-CBCL in their children. 3) Children of depressed mothers had lower score in picture arrangement and coding subtests of KEDI-WISC than those of no psychiatric disorder mothers. 4) After controlling for the total problematic behavior scores of TRF, mother's depression is positively correlated with aggressive behaviors, externalizing problems, total problematic behaviors of K-CBCL, and negatively correlated with coding of KEDI-WISC. Conclusion : Children's aggressive behavior, externalizing behavior, total problematic behaviors and low coding score may be associated with mother's depression.

• Journal of the Korea Convergence Society
• /
• v.8 no.7
• /
• pp.63-73
• /
• 2017

The purpose of this convergence study is to confirm the effects of nurses' coaching behavior level and emotional intelligence on organizational effectiveness. Subjects of study were 182 nurse in four general hospitals and they answer self-report questionnaire between March 2nd to March twenty three 2017. and date analyzed using the SPSS/WIN 21.0 program. As a result, coaching behavior level $3.28{\pm}0.42point$, Emotional Intelligence $3.27{\pm}0.45point$ and Organizational commitment $2.89{\pm}0.52point$, Job satisfaction $2.94{\pm}0.53point$, Turnover intention $3.24{\pm}0.56point$ among organizational effectiveness. Organizational commitment was positively correlated with coaching behavior level and emotional intelligence, significantly affecting Convergence Factors on organizational effectiveness were analysed into Experience preceptor(${\beta}=.25$, p=.001), Nursing satisfaction(${\beta}=.26$, p<.001), Coaching behavior level(${\beta}=.26$, p<.001) and the explanation ability was 25%. In order to enhance organizational commitment of nurse, the characteristics of the job is satisfied and if there is an intervention program that improve the level of coaching behavior, it is expected the effectiveness of the organization will be enhanced.

• Korean journal of communication and information
• /
• v.53
• /
• pp.5-28
• /
• 2011

This research examines the recent increasingly intensified non-reporting phenomenon by the press in South Korea and its legitimacy and validity. Non-reporting denotes cases in which the press does not report on significant issues in society. Although journalism scholars have raised this question, it remains unaddressed through case studies and formal criticism. This research compares the reporting and non-reporting by major media groups of cases related to the surveillance of civilians by the National Intelligence Service and the Defense Security Command under the Ministry of National Defense. This research specifies that the non-reporting phenomenon relates not to the ability to report, but to willingness to report, due to intervention by political factionalism of media groups. The non-reporting phenomenon results from the press ignoring their basic responsibility stemming from journalistic ethics and their social responsibility to fulfill their readers' right to know. Accordingly, this research revealed that the non-reporting phenomenon cannot be justified through diverse theoretical discussions and the journalistic code of ethics. Through the logical framework of public opinions and diverse empirical data to support it, this research demonstrates that the non-reporting phenomenon produces not unhelpful, but harmful effects to resolutions to ideological dissent in South Korean society.

• Korean Journal of Radiology
• /
• v.21 no.7
• /
• pp.869-879
• /
• 2020

Objective: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. Materials and Methods: This study included 1079 patients (median age, 55 years; men, 718) from three hospitals, between January 2011 and January 2019, who were divided into a monocentric training set (n = 876; median age, 55 years; men, 582), five multicenter/multiparameter validation sets (n = 173; median age, 59 years; men, 118) with different slice thicknesses and image pixels, and a normal control set (n = 30; median age, 53 years; men, 18). Three classifications (fresh, healing, and old fracture) combined with fracture location (corresponding CT layers) were detected automatically and delivered in a structured report. Precision, recall, and F1-score were selected as metrics to measure the optimum CNN model. Detection/diagnosis time, precision, and sensitivity were employed to compare the diagnostic efficiency of the structured report and that of experienced radiologists. Results: A total of 25054 annotations (fresh fracture, 10089; healing fracture, 10922; old fracture, 4043) were labelled for training (18584) and validation (6470). The detection efficiency was higher for fresh fractures and healing fractures than for old fractures (F1-scores, 0.849, 0.856, 0.770, respectively, p = 0.023 for each), and the robustness of the model was good in the five multicenter/multiparameter validation sets (all mean F1-scores > 0.8 except validation set 5 [512 x 512 pixels; F1-score = 0.757]). The precision of the five radiologists improved from 80.3% to 91.1%, and the sensitivity increased from 62.4% to 86.3% with artificial intelligence-assisted diagnosis. On average, the diagnosis time of the radiologists was reduced by 73.9 seconds. Conclusion: Our CNN model for automatic rib fracture detection could assist radiologists in improving diagnostic efficiency, reducing diagnosis time and radiologists' workload.

• The Journal of the Korea Contents Association
• /
• v.20 no.7
• /
• pp.66-85
• /
• 2020

The purpose of this study is to explain and predict trends the AI development process based on AI technology patents (total) and AI reporting frames in major newspapers. To that end, a summary of South Korean and U.S. technology patents filed over the past nine years and the AI (Artificial Intelligence) news text of major domestic newspapers were analyzed. In this study, Topic Modeling and Time Series Return Analysis using Big Data were used, and additional network agenda correlation and regression analysis techniques were used. First, the results of this study were confirmed in the order of artificial intelligence and algorithm 5G (hot AI technology) in the AI technical patent summary, and in the news report, AI industrial application and data analysis market application were confirmed in the order, indicating the trend of reporting on AI's social culture. Second, as a result of the time series regression analysis, the social and cultural use of AI and the start of industrial application were derived from the rising trend topics. The downward trend was centered on system and hardware technology. Third, QAP analysis using correlation and regression relationship showed a high correlation between AI technology patents and news reporting frames. Through this, AI technology patents and news reporting frames have tended to be socially constructed by the determinants of media discourse in AI development.

• International Journal of Internet, Broadcasting and Communication
• /
• v.12 no.1
• /
• pp.1-6
• /
• 2020

In this paper, we propose a new program for university student's IT leadership renovation. Automation and Artificial Intelligence(AI) are changing the nature of work. According to MGI report, they will change the skills needed in the workforce. Leadership is one of the skills needed more of in the future at workplace including IT industry. Leadership could be defined as having 5 level leadership. According to the 5 level leadership, a program was formulated to renovate university student's self-leadership, teamwork, team leadership and finally global leadership. We named the program as Stepping-Stone Platform for Student's IT Leadership Renovation(SSP-SLR). Each level of four stepping stones consists of one semester. Student can raise their leadership skills by the program step by step. Various instruction learning methodologies are adopted to the program, including Flipped learning which has been proved effective in many ways in the field of education recently.

• Journal of Yeungnam Medical Science
• /
• v.37 no.1
• /
• pp.54-58
• /
• 2020

Achromobacter xylosoxidans is a gram-negative bacterium that can oxidize xylose. It is commonly found in contaminated soil and water but does not normally infect immunocompetent humans. We report a case of a cavitary lung lesion associated with community-acquired A. xylosoxidans infection, which mimicked pulmonary tuberculosis or lung cancer in an immunocompetent man. The patient was hospitalized due to hemoptysis, and chest computed tomography (CT) revealed a cavitary lesion in the superior segment of the left lower lobe. We performed bronchoscopy and bronchial washing, and subsequent bacterial cultures excluded pulmonary tuberculosis and identified A. xylosoxidans. We performed antibiotic sensitivity testing and treated the patient with a 6-week course of amoxicillin/clavulanate. After 2 months, follow-up chest CT revealed complete resolution of the cavitary lesion.

• Archives of Craniofacial Surgery
• /
• v.17 no.2
• /
• pp.82-85
• /
• 2016

We report two cases of cleidocranial dysplasia, which was managed without significant craniofacial osteotomy. A mother and daughter, both of normal intelligence, presented with central forehead depression, mid-face hypoplasia, and blepharoptosis. The fact that they have an identically deformed face implied a genetic basis. In both patients, radiologic evaluation revealed the underdeveloped maxilla, persistent fontanelle opening, and cleidal aplasia. Clinical findings and radiologic studies were consistent with the diagnosis of cleidocranial dysplasia. Both patients underwent forehead plasty via bicoronal approach, augmentation rhinoplasty using tip plasty, and epicanthoplasty. In addition, the mother underwent malar augmentation using Medpor implantation and reduction genioplasty. The patients did not experience any postoperative complication and remained satisfied with the operation at 6-year follow-up.