• Journal of the Korea Society of Computer and Information
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• v.19 no.6
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• pp.139-149
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• 2014

Much research has been conducted in educational robot, a new instructional technology, for K- 12 education. Several studies have shown that educational robot provides effective learning opportunities for students in both content areas of STEM(science, technology, engineering, and mathematics) and critical academic skills, such as collaboration, problem solving and communication skills. However, most studies to date on applications of educational robots have been conducted outside the formal education setting. This study analyzed the influence of using robots in an elementary school science class in Korea with regard to science learning motivation. A total of 121 students in fourth and fifth grades participated in the study. The experimental group was taught using robots in the science class, while the control group was taught using traditional methods. Analysis of covariance (ANCOVA) was conducted to compare the between-group differences in learning motivation before and after the experiment; an interview was also conducted for the experimental group. The study results showed a significant improvement (p<.05) in both learning motivation in the experimental compared with the control group. There was also positive response to learning with a robot. This study will play an important role in research on the use of educational robot in formal education in the future.

• Journal of The Korean Association of Information Education
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• v.22 no.3
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• pp.297-305
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• 2018

Physical computing is the concept of expanding computing to humans, environments, and objects. It draws attention as a programming learning medium based on physical outputs in integration of hardware and software. This study developed a programming learning model based on interactive prototyping using the characteristics of physical computing with a high degree of technical freedom and analyzed its learning effect in an experiment. To examine the effect of the experimental treatment, this researcher divided fifty nine 5th-grade elementary students into an experimental group and into a control group. the interactive prototyping programming learning model was applied to the experimental group, and a linear sequential programming learning model was applied to the control group. Information Science Creative Personality Test was conducted before and after the experimental treatment. Analysis of Covariance was conducted with the pre-test scores of the two groups. As a result, it was proved that there was the effect of learning at the significance level of .05. It indicates that the physical computing based interactive prototyping programming learning model is applicable to the programming learning for 5th-grade elementary students.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.11-23
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• 2015

Recently the military is improving the policies of military culture for soldiers to lead a better military life. In this effect, 'division A' introduced 'goal-directed self development program'. This program is guiding the soldiers to set up personal mission in life not only in the military but also linked to the future, after being discharged from military service. Therefore the purpose of this research is to test the effect of this program on soldier's objective management, self esteem and satisfaction and to propose political strategies for creating healthier military culture. The research method was to compare and analyze the difference between two groups, 'division A'(experimental group), which operated the program, and 'division B'(controlled group) which did not operated the program. research targets were 488 soldiers in total, 257 soldiers in experimental group and 231 in controlled group. T-test(verification) and analysis of covariance was done with SPSS WIN 11.5 program with collected information. The result showed that the program has meaningful effect in every aspect mentioned above to the soldiers.

• International Area Studies Review
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• v.12 no.3
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• pp.243-267
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• 2008

This research develops a theoretical model of the influence of firm's internal and external characteristics on foreign knowledge learning and international performance. To verify research hypotheses, 222 cases were collected as samples and the data was tested by structural equation modeling analysis. The result of the analysis shows that the CEO's foreign experience, entrepreneurship, technological innovation and use of foreign network have positive influence on the international performance. Besides CEO's foreign experience and use of foreign network affects the foreign knowledge learning, which shows the useful relationship of international performance and accordingly it is proved that the foreign knowledge learning has mediating effect between the firm's internal and external characteristics and international performance.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.167-172
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• 2019

The purpose of this study was to investigate the effect of computer based cognitive rehabilitation program on the generative naming. Twenty - one patients were assigned to the CoTras program and eight were treated with traditional face - to - face language rehabilitation such as paper and table activities. The experimental group and the control group performed sequential language recall memory training, association memory recall training, language categorization memory training, and language integrated memory training for 12 weeks. The Welch's robust ANCOVA showed significant differences in mean fluency and MMSE-K changes (p<0.05). On the other hand, phonemic fluency increased significantly after 12 weeks of treatment compared to baseline in both experimental and control groups, but there was no statistically significant difference between treatment groups. The results of this study suggest that the computer based cognitive rehabilitation program may be more effective in improving the semantic fluency than the conventional cognitive-linguistic rehabilitation.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.129-137
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• 2019

The aim of this study was to investigate the association between self-rated oral health, self-rated health, and quality of life (QOL) among older population from the 7th Korea National Health and Nutrition Examination Survey (KNHANES VII-1, 2016). Data of 1,866 older adults (Mean age 69.5 years) were analyzed with hierarchical logistic regression analyses with IBM SPSS 23.0. Over 87.7% of the subjects rated their oral health as fair or poor. Women and less educated participants more likely to report their perceived oral health as poor (p<.05). Older participants who rated their general health positively were more likely to rate their oral health as good (F=19.04, p<.001). Elders who had bad perceived health (OR: 2.86, 95% CI: 1.5~5.5), had carries in permanent teeth (OR: 2.68, 95% CI: 1.67~4.32) and anxiety or depression (OR: 1.45, 95% CI: 1.42~2.57) had negative oral health perception after controlling for covariates. In conclusion, perceived oral health and QOL were associated with each other in Korean older adults. Therefore, it is recommended to approach holistic strategy for improve health and quality of life in the elderly population.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.37-45
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• 2019

This study investigated whether the model attributes of VR Ads (3D effect, presence, Dynamics, Amusement) affect the attitude of the advertising. We also examined the mediating role of consumer's innovation in the model attributes and advertising attitude of VR advertisements. To do this, VR equipment was used to induce real advertisers to experience advertisements. The causal relationship between variables was examined through covariance structure analysis. The results are as follows. First, all independent variables of the VR advertising model have a positive effect on the consumer's innovation. Second, the 3D effect, Amusement of the VR advertising model have a positive effect on the attitude of the advertising. Third, the effects of the VR advertising model on all variables are mediated by the consumer's innovation of the VR advertisement. The results of this study provide implications for understanding the characteristics of VR Ads.

• The Korean Journal of Applied Statistics
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• v.36 no.5
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• pp.473-488
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• 2023

Gangwon-do is one of Korea's most popular tourist destinations, with varying tourism demands and trends across its subregions. It is crucial to identify the characteristics of tourism in each area and compare the tourism patterns over time to devise policies that revitalize tourism in each local government and promote balanced development across regions. In this paper, we classify the regions in Gangwon-do based on tourism data from the last four years and analyze the tourism pattern of each region using the non-Euclidean additive model proposed by Jeon et al. (2021). The model incorporates the proportions of visitors by age groups and the proportions of navigation searches by destination types as two covariates, and the proportions of tourism expenditure types as a response variable. We estimate the model using the smooth-backfitting method and coordinate-wise bandwidth selection. The results are visualized in ternary plots, and changes in tourism patterns over time are analyzed by comparing the ratios of prediction errors to fitting errors.

• The Korean Journal of Applied Statistics
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• v.37 no.1
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• pp.13-38
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• 2024

As economic uncertainties have increased recently due to COVID-19, there is a growing need to quickly grasp private consumption trends that directly reflect the economic situation of private economic entities. This study proposes a method of estimating private consumption in real-time by comprehensively utilizing big data as well as existing macroeconomic indicators. In particular, it is intended to improve the accuracy of private consumption estimation by comparing and analyzing various machine learning methods that are capable of fitting ultra-high-dimensional big data. As a result of the empirical analysis, it has been demonstrated that when the number of covariates including big data is large, variables can be selected in advance and used for model fit to improve private consumption prediction performance. In addition, as the inclusion of big data greatly improves the predictive performance of private consumption after COVID-19, the benefit of big data that reflects new information in a timely manner has been shown to increase when economic uncertainty is high.

• Journal of Science Education
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• v.35 no.1
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• pp.1-12
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• 2011

The purpose of this study was to examine the effects of science class using the multimedia materials on high school students' attitude toward science. The subjects were 222 high school students. For this study, 11th graders at a high school were assigned to a comparison group and an experimental group. The experimental group was received science class using multimedia materials for 3 months. The research design was pretest-posttest control group design, the data were analyzed using PASW statistics 18.0 program. The types of multimedia materials used in experimental group were science fiction movies, science documentaries, TV programs, and Power Point presentations created by students. Before and after treatment, the attitude toward science tests were administered. Pre-tests and post-test score differences between 2 groups were analyzed by ANCOVA. The differences of attitude toward science based on gender were compared by analysis of covariance. And the perception on science class with multimedia materials were also investigated. The results of this study were as follows: First, the attitude toward science was improved significantly after applying science classes using multimedia materials. Especially, there were significant difference between pre-test and post-test in the score of attitude toward science class and attitude toward science content which were sub-area of attitude toward science. Second, there was no significant difference between female and male students in total score of attitude toward science. However, the attitude toward science, scientists and society, which was a sub-area of attitude toward science, female students scored significantly higher than male students. Third, 84% student showed a positive perception that the science class enhanced their interest in science. 69% the students responded that we had thought about Science-Technology-Society. Multimedia material types which the students prefered were science fiction movie, science documentaries, science TV programs, respectively.