• Journal of Digital Convergence
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• v.16 no.12
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• pp.153-162
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• 2018

This paper analyzed the current level of the middle school academic achievement in Changwon City and explored the ways for improving academic achievement of the middle school in Changwon City. The data used in the analysis were the results of National Assessment of Educational Achievement of middle school students from 2013 to 2016 which was released on the school's information website(www.schoolinfo.go.kr) First, the analysis found that the academic achievement level of the middle school in Changwon City was not higher than those of Gwangju, Daejeon, and Ulsan, where the population size is similar. Second, the level of academic achievement among middle schools in Changwon City differed by year. Third, the level of academic achievement of middle school in Changwon City differed by district. Fourth, the educational achievement gap among middle schools in Changwon City existed by public and private school, as well as by male school, female school, and male and female Middle School. The paper suggested that schools with low ratio of proficient and above achievement levels should look for ways to raise the percentage of proficient and above achievement levels, and schools with higher rates of below basic achievement should make efforts to solve the problem.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.247-255
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• 2019

This study was conducted to explore the correlation between the personality types and learning styles and academic achievement in first year nursing students. 144 students were sampled in first year nursing sstudents. Data were collected from March 6 to May 18 2018. Results analysis was performed using SPSS win version of frequency, mean and standard deviation, t-test, ANOVA, Chi-square test, Pearson correlation. The personality types of nursing students in this study were 58.3% of Extrovert type, 41.7% of Introvert type, 33.3% of Sensing, 66.7% of Intuition type, 22.2% of Thinking, 77.8% of Feeling, 50.7% of Judging type, and 49.3% of Perceiving type. The average academic achievement of female students was 3.51 points, higher than the average of 3.17 for male students (t=-3.277, p<.001). The average academic achievement of Introvert type was found to be higher than the average of Extrovert type (t=3.541, p<.001). Learning styles by personality type showed a statistically significant difference between the judging type and the other personality types (${\chi}^2=18.409$, p<.001). There was a significant amount of correlation between gender and TF index (r=.209, p<.05), gender and academic achievement (r=.265, p<.01), JP index and learning styles (r=.262, p<.01, EI index and academic achievement (r=.285, p<.01). The development and utilization of teaching-learning methods suitable for individuals will be required based on the results of personality types, learning styles and academic achievement in first year nursing students identified through this study.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.157-164
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• 2022

This study attempted to understand the mediating effect of learning time in the effect of academic burnout on self-esteem of middle school students. To this end, a survey of 1,045 middle school students in Gyeongsangnam-do was conducted on academic burnout, learning time, and self-esteem. It was analyzed in four ways through questionnaire responses. First, as a result of analyzing the differences according to the collective characteristics of academic burnout, learning time, and self-esteem, there was no difference between groups, and self-esteem was significantly different by gender and grade. Second, as a result of correlation analysis, academic burnout and learning time showed a negative correlation with self-esteem, and learning time and self-esteem showed a positive correlation. Third, as a result of regression analysis, all learning times were partially mediated in the effect of academic burnout on self-esteem. This not only directly affects the self-esteem of middle school students, but also indirectly through learning time. Fourth, in the analysis by gender, it was confirmed that male students had no statistically significant effect on self-esteem, but female students had a significant statistical effect on self-esteem, so only female students had a partial mediating effect. As a result of the analysis by grade, the effect of learning time on self-esteem was significant in the 1st and 2nd graders of middle school, but the effect of learning time on self-esteem was not significant in the 3rd graders of middle school. Through the survey of this study, it was suggested that education and counseling should be conducted in the middle school period, which is a rapid growth period, considering that academic burnout has a different effect on learning time and self-esteem by grade as well as gender approach.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.125-133
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• 2022

This study attempted to find out whether learning time has a mediating effect according to the gender, region, and grade of middle school students in the relationship between academic engagement and self-esteem. To this end, a survey of 1,045 middle school students in Gyeongsangnam-do was conducted on academic engagement, learning time, and self-esteem. Difference verification was conducted to determine the difference in academic engagement, learning time, and self-esteem according to the general characteristics of the study subjects, correlation analysis was conducted to determine the correlation between major variables, and regression analysis was conducted to verify the mediating effect of learning time. As a result of the analysis, first, there was no difference in the academic engagement of middle school students by group. In the learning time, middle school students in the city area were significantly higher than those in the township area, male students had higher self-esteem than female students, and students in the city area had significantly higher self-esteem as the grade went up. Second, as a result of correlation analysis, learning time, academic engagement, and self-esteem showed a positive correlation. Third, in the entire group not divided by group, both the direct path through which academic engagement reaches self-esteem and the partial mediating model from learning time to self-esteem showed significant effects. In the analysis by gender, only female students excluding male students showed a partial mediating effect, and the analysis results by region showed a partial mediating effect only on students in the city. The analysis results by grade showed a partial mediating effect only for second-year middle school students. In order to improve the self-esteem of middle school students, education and counseling should be conducted in consideration of not only individual differences by gender and grade, but also the region in which they live.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.321-328
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• 2023

This study is tried to to identify factors affecting academic achievement depending on the quality of class, learning immersion, level of academic achievement, and class type according to video production classes and real-time video classes in the on-contact learning situation due to the COVID-19 epidemic. The subjects of the study were 122 students enrolled in the nursing department at two universities. As a result of the study, the quality of the class was high in real-time video classes (t=-2.69, P=0.02), learning immersion was high in video production classes (t=1.14, P=0.28), and academic achievement was high in video production classes (t=4.24, P=0.01). Depending on the type of class, the effect on academic achievement is learning immersion in production video classes (β=.37, p<.001) has the most influence, and in real-time video classes, class quality (β=.29, p<.001) had the most influence on academic achievement. Based on the results of this study, it is suggested that it is necessary to develop a strategy for instructional design suitable for class types to improve academic achievement in an on-contact environment.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.271-279
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• 2023

The purpose of this study was to investigate the effect of learning flow, problem solving ability, professor-student interaction of academic achievement in nursing students. Data were collected from 274 nursing students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and hierarchial multiple regression using SPSS/WIN 22.0. The degree of academic achievement in nursing students was 3.70±0.70. There were significant differences in academic achievement with grade(F=4.755, p=.003), campus life satisfaction(F=5.643, p=.004), major satisfaction(t=5.794, p=.003), adapting to COVID-19(F=7.961, p<.001), satisfaction to non-face-to-face environment class(F=18.353, p<.001). There was positive correlation between academic achievement and learning flow(r=.649, p<.001), problem solving ability(r=.333, p<.001), professor-student interaction(r=.479, p<.001). The factors affecting academic achievement of the study subjects were learning flow(β=.563, p<.001), professor-student interaction(β=.280, p<.001), with an explanatory power of 52.0%. Therefore, strategies increase the academic achievement of nursing students in untact lecture, and environment improvement to increase learning flow and professor-student interaction are needed.

• Convergence Security Journal
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• v.17 no.1
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• pp.15-30
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• 2017

Since the 1990s, fingerprint recognition has attracted much attention among scholars. There have been numerous studies on fingerprint recognition. However, most of the academic papers have focused mainly on how to make a technical advance of fingerprint recognition. there has been no significant output in the analysis of the research trends in fingerprint recognition. It's essential part to describe the overall structure of fingerprint recognition to make further studies much more efficient and effective. To this end, the primary purpose of this article is to deliver an overview of the research trends on fingerprint recognition based on network analysis. This study analyzed abstracts of the 122 academic journals ranging from 1990 to 2015. For gathering those data, the author took advantage of an academic searchable data base-RISS. After collecting abstracts, cleaning process was carried out and key words were selected by using Krwords and R; co-occurrence symmetric matrix made up of key words was created by Ktitle; and Netminer was employed to analyze closeness centrality. The result achieved from this work included followings: research trends in fingerprint recognition from 1990 to 2000, 2001 to 2005, 2006 to 2010, and 2011 to 2015.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.363-370
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• 2016

This study aimed to evaluate correlation between self-evaluation factors and academic achievement of medical students according to introduction of explanation meeting in cadaveric dissection. The students explained cadaveric structure to health allied sciences students and discussed with each other. Just after the meeting, 102 medical students filled out a self-reported questionnaire on impact of self-evaluation factors and communication. The data were analyzed by frequency analysis, t-test and analysis of variance. Regardless of their gender, age, previous experience, the majority of the students gave high scores in all of self-evaluation factors. Among them, linkage with major and verbal communication factor were closely related to their academic achievement(p<0.05). The verbal and non-verbal communication factors also had a high correlation of 0.580(p<0.01). The explanation meeting provided a chance to learn further with positive attitude to medical students and motivated them academically.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.139-163
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• 2022

This study analyzes the past and present of service science research as a central discipline that will lead a new economy and society, and presents a guide for future research. In the 21st century, service research has developed into a new discipline that is different from the existing service studies. Service science is a discipline that collectively refers to all research related to services. This study analyzes this development process and suggests the direction of future service science research. First, we analyze the research before the birth of service science, an early model of service studies. And the early research on the birth of service science is analyzed. Through this process, the service science framework that expanded and developed the initial service science is analyzed. We introduce each field of service science, which is a new innovation of the existing academic system from a modern perspective, and analyzes the structure of the service philosophy that is the basis of independent academic fields. And we suggest the future direction of service science research. The direction of paradigm innovation research of existing individual disciplines is presented first. As an example, innovation from existing business administration to service business administration is introduced. We also suggest a new economic and social system research direction that requires the convergence of multiple academic fields. Finally, we present a direction for multidimensional, broad-based convergence research. We suggest that the future of service science can be the process of reverting back to integration and convergence, centered on humans and the world, of the disciplines that have continued to diverge in the history. We present a model in which all disciplines are reintegrated into service science as the Eastern and Western spirits converge.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.74-86
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• 2019

As many existing research fields are matured academically, researchers have encountered numbers of academic, social and other problems that cannot be addressed by internal knowledge and methodologies of existing disciplines. Earlier, pioneers of researchers thus are following a new paradigm that breaks the boundaries between the prior disciplines, fuses them and seeks new approaches. Moreover, developed countries including Korea are actively supporting and fostering the convergence research at the national level. Nevertheless, there is insufficient research to analyze convergence trends in national R&D support projects and what kind of content the projects mainly deal with. This study, therefore, collected and preprocessed the research proposal data of National Research Foundation of Korea, transforming the proposal documents to term-frequency matrices. Based on the matrices, this study derived detailed research topics through Latent Dirichlet Allocation, a kind of topic modeling algorithm. Next, this study identified the research topics each proposal mainly deals with, visualized the convergence relationships, and quantitatively analyze them. Specifically, this study analyzed the centralities of the detailed research topics to derive clues about the convergence of the near future, in addition to visualizing the convergence relationship and analyzing time-varying number of research proposals per each topic. The results of this study can provide specific insights on the research direction to researchers and monitor domestic convergence R&D trends by year.