• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.417-424
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• 2017

This study investigated the relationship between pre-service early childhood teacher's metacognition and emotional intelligence on character development efficacy. The subjects were 218 pre-service early childhood teachers at university. A questionnaire, which required self-reporting by these teachers, was used to investigate the effect of their metacognition and emotional intelligence on character development efficacy. The data were analyzed by Pearson's correlation and stepwise regression. The study results were as follows. First, metacognition and emotional intelligence exerted an effect on the character development efficacy of pre-service early childhood teachers. Second, there were significant positive correlations between the metacognition and character development efficacy of the teachers. Third, there were significant positive correlations between the emotional intelligence and character development efficacy of the teachers. Fourth, emotional comprehension of others, emotional comprehension of own, error correction, and emotional activity were meaningful and influential variables on the teachers' self-leadership. These results increased the perception for the development of pre-service early childhood teacher curriculum about character development efficacy, metacognition and emotional intelligence of pre-service early childhood teachers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.595-603
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• 2016

This study was conducted to identify and analyze the educational needs for key vocational competency in nursing students. The participants were 411 nurse students at five universities and the survey was conducted from June 1 to June 31, 2016. The data were analyzed with SPSS WIN 23.0 using descriptive statistics, a paired T-test, Borich's Needs Analysis, as well as the Locus for Focus Model. Based on the results, the subjects recognized the present level of 'professional ethics,' 'self development' and 'interpersonal skills' to be high and those of 'communication skills' and 'skills for understanding groups' to be low. 'Professional ethics,' 'self development,' 'problem solving skills' and 'communication skills' were the most important sub-elements of vocational competency. A significant difference in recognition levels between present and importance ere found in all components of vocational competency. The four priorities were analyzed based on Borich's needs value. In accordance with the Locus for Focus model, 'communication skills,' 'problem solving,' 'resource management skills' and 'self development' were identified as the highest priority sub-factors of vocational competency to nursing students. Based on the result of this study, it is expected to be used as the basic data to develop the nursing student's vocational curriculum and program.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.29-37
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• 2024

The purpose of this study is to investigate the impact of education applying the Havruta learning method in fundamentals nursing classes for nursing students on problem-solving ability, self-directed learning ability, critical thinking disposition, and learning commitment. One-group pretest-posttest design was used. Nursing students received training applying the Havruta learning method for 6 weeks (12 hours) in fundamentals nursing classes. The study was conducted from September 18 to November 6, 2023. Data were analyzed using SPSS/WIN 28.0 with mean, standard deviation, and paired samples t-test. problem-solving ability (t=4.52, p<.001), self-directed learning ability(t=-4.61, p<.001), critical thinking disposition(t=-4.10, p<.001) significantly increased before and after the 6-week Havruta learning method training for nursing students. However, there was no statistically significant difference in learning commitment (t=-0.28, p=.782). The Havruta learning method is an effective nursing education tool for improving problem-solving ability, self-directed learning ability, and critical thinking disposition. The results of this study can serve as basic data for nursing professors when planning teaching and learning strategies using Havruta. Research will be needed to utilize the Havruta learning method in various classes and evaluate its effectiveness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.376-383
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• 2019

This study was conducted to investigate academic self-efficacy, critical thinking disposition, and learning motivation, which influence problem solving ability in nursing students. Data were collected from June 4, 2018 to June 29, 2018, and the final 213 data points were used for analysis. The SPSS/WIN 22.0 program was used to conduct descriptive statics, Pearson's correlation coefficient, t-tests, ANOVA, Scheffe's test and multiple regression analysis. The problem solving ability according to the general characteristics differed among residential type (F=3.930, p=0.021) and satisfaction with major (F=4.618, p=0.011). In the correlation between academic self-efficacy, critical thinking disposition, learning motivation, and problem solving ability of the subject, academic self-efficacy (r=0.573, p<0.001), critical thinking disposition (r=0.620, p<0.001), and learning motivation (r=0.563, p<0.001). The factors affecting the problem solving ability of the study subjects were major satisfaction (${\beta}=.117$, p=0.036), academic self-efficacy (${\beta}=0.314$, p<0.001), critical thinking disposition (${\beta}=0.318$, p<0.001), and learning motivation (${\beta}=0.217$, p=0.004), with an explanatory power of 45.2%. In this study, it is necessary to confirm the effects of the development of the intervention program and the application of the program, which can improve the problem solving ability of nursing students.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7B
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• pp.1034-1042
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• 2010

As many researchers have been interested in Green IT, Energy Efficient Ethernet(EEE) with rate adaptation has recently begun to receive many attention. However, the rate adaptation scheme can have different energy efficiency and delay according to the characteristics of various traffic patterns. Therefore, in this paper, we analyze the impact of different traffic patterns on the energy efficiency and delay in Ethernet with rate adaptation. To do this, firstly we design a rate adaptation simulator which consists of Poisson based traffic generator, Pareto distribution based ON-OFF generator and Ethernet node with rate adaptation by using OPNET Modeler. Using this simulator, we perform the simulation in view of the total number of switching, transmission rate reduction, energy saving ratio and average queueing delay. Simulation results show that IP traffic patterns with high self-similarity affect the number of switching, rate reduction and energy saving ratio. Additionally, the transition overhead is caused due to the high self-similar traffic.

• Journal of the Korea Convergence Society
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• v.7 no.3
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• pp.159-165
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• 2016

The purpose of this study is to investigate the change in the positive psychology movement of capital represented by the performance of physical disabilities to participate in swimming classes for 10 weeks. The study was conducted with 30 to 40-men group participation handicapped total of 21 patients (10 patients) and non-participation group (11 patients), the duration of the experiment was performed three times a week for 10 weeks, 50 minutes. Data processing is a dictionary, post-test data was calculated the mean and standard deviation, experimental design group two won repeated measures analysis of variance for (swimming participating groups, miserable Lady) and time (before and after) using the SPSS 21.0 statistical program It was performed (2-way [2] RM ANOVA), all the statistical significance level was set at .05. Study, classroom participation of the handicapped swimmer can see that has had a positive effect positive psychological capital.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6576-6586
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• 2014

This study examined the effects of the mothers' sense of humor, ego-resilience on the maternal behavior. 187 mothers of 24~36 month old children completed the questionnaires. To analyze the data, descriptive statistics, Pearson's co-relation and hierarchical regression analysis were used. The results were as follows. First, concerning the mothers' personal variables, the mean of the sense of humor, ego-resilience, and maternal behavior were relatively high. Second, the mothers' sense of humor and its sub-scales, except as a copying strategy, and ego-resilience had a positive co-relation with the maternal behavior and its sub-scales. Lastly, the mothers' sense of humor and its sub-scales, and ego-resilience were significant variables to influence the maternal behavior. As stated above, the ways were discussed to improve the mothers' sense of humor and ego-resilience.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.109-114
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• 2017

The objective of this study was to investigate the factors of career choice in high school seniors and to utilize the data to guide their career selection. From July 2, 2016 to August 2, 2016, a total of 145 high school seniors from six different high schools in Daejeon and Chungcheong area participated the study. Pearson's correlation coefficients, t-test, one-way ANOVA and multiple regression analysis, using SPSS 24.0 version program. It was shown that the participants who had a positive relationship with their school nurse, or those who had experience in nursing-related career activities inside or outside the school, or participants who had career-related classes, expert counseling, and educational experience in school were interested in applying to nursing school. The findings from this study provided implications for promoting career education programs attracting talent from high school seniors who are interested in applying nursing school.

• The Journal of Korean Association of Computer Education
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• v.10 no.4
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• pp.93-102
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• 2007

The present study is to investigate the elements of e-learning strategies affecting the levels of participation, achievement and satisfaction for learners who participated in the university blended learning environment. For this, 58 subjects were recruited who participated in the blended learning class at K university. E-learning strategies, achievement and satisfaction levels were measured for data collection, and the level of participation was measured by analyzing the LMS log-in database. For data analysis, first, means and standard deviation were computed to find the level of e-learning strategies of the subjects. Second, linear regression analysis was conducted to find the e-learning strategies that could estimate the levels of achievement, participation and satisfaction. As a result, variables to estimate the achievement level included time management strategy and overload management strategy. Variables to estimate the participation level included self-directed strategy, time management strategy and overload management strategy. Finally, variables to estimate the satisfaction level included multiple discussion management strategy, asynchronous management strategy and sociality. Based on these estimated variables, the author suggested some ideas to increase the educational effectiveness.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.21-28
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• 2018

To help users who are experiencing difficulties finding the right learning course corresponding to their level of proficiency, we developed a recommendation model for personalized learning course for Intelligence Tutoring System(ITS). The Personalized Learning Course Recommendation model for ITS analyzes the learner profile and extracts the keyword by calculating the weight of each word. The similarity of vector between extracted words is measured through the cosine similarity method. Finally, the three courses of top similarity are recommended for learners. To analyze the effects of the recommendation model, we applied the recommendation model to the Women's ability development center. And mean, standard deviation, skewness, and kurtosis values of question items were calculated through the satisfaction survey. The results of the experiment showed high satisfaction levels in accuracy, novelty, self-reference and usefulness, which proved the effectiveness of the recommendation model. This study is meaningful in the sense that it suggested a learner-centered recommendation system based on machine learning, which has not been researched enough both in domestic, foreign domains.