• 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.1C
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• pp.45-51
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• 2010

In urban area, design and construction of civil engineering structures such as subway tunnel, underground space and deep excavation is impeded by unreliable site investigation. Variety of embedded objects, electric noises and traffic vibrations degrades the quality of site investigation, whatever the site-investigation technique would be. In this research, a preliminary research was performed to develop a dedicated site investigation technique for urban geotechnical sites, which can overcome the limitations of urban sites. HiRAS (Hybrid Integration of Surface Waves and Resistivity) technique which is the first outcome of the preliminary research was proposed in this paper. The technique combines surface wave as well as electrical resistivity. CapSASW method for surface-wave technique and PDC-R technique for electrical resistivity survey were incorporated to develop HiRAS technique. CapSASW method is a good method for evaluating material stiffness and PDC-R technique is a reliable method for determination of underground stratification even in a site with electrical noise. For the inversion analysis of HiRAS techniuqe, a site-specific relationship between stress-wave velocity and resistivity was employed. As for outgrowth of this research, the 2-D distribution of Poisson's ratio could be also determined.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.397-408
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• 2019

Purpose: The purpose of this study was to examine the effects of team-based learning(TBL) program on problem solving ability, self-directed learning and learning motivation of nursing students in a adult nursing course. Methods: This study was quasi-experimental study by using nonequivalent control group pretest-posttest design. Participants were 132 nursing students consisting of each experiment group 66 and control group 66. The experiment group was provided TBL program for 2 hours per session during 6 sessions and control group was provided lecture. Data were collected by questionnaires from April 20 to June 19, 2018. Data was analyzed by a chi-square test, t-test and ANCOVA using IBM SPSS 21.0 program. Results: The mean scores of problem solving ability(F=9.179, p=.003), self-directed learning(F=7.447, p=.007) and learning motivation(F=7.974, p=.006) were significantly higher in experiment group than those in control group. Conclusion: TBL program in a adult nursing course was effective in problem solving ability, self-directed learning and learning motivation of nursing students.

• Journal of The Korean Association For Science Education
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• v.43 no.6
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• pp.533-547
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• 2023

This study is an action research aimed at improving the instruction of a teacher educator who teaches science teaching methods to elementary preservice teachers. After identifying the cause of their low levels of curiosity and interest in physics, teaching plans addressing this problem were explored, applied to classes, and reflected upon. Through this process, ways to improve teaching practice in science classes for elementary preservice teachers and pique their scientific curiosity and interest were proposed. A spiral implementation structure that repeats implementation and reflection a total of three times was designed for the prospective preservice teachers who participated in elementary science textbook research physics classes. Self-reports, student participation data, and results from both peer and self-evaluations were collected and analyzed. The reasons for the preservice teachers' low levels of curiosity and interest in science were identified as their inability to recognize and express information gaps and their low levels of willingness to resolve this. Practice expressing information gaps, raising the level of knowledge to be able to recognize information gaps, and a strategy to have the will to resolve information gaps were introduced into the class. To the extent that changes can be made by improving unit classes, elementary preservice teachers can express their curiosity and interest in science through this process.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.160-172
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• 2023

The metaverse, derived from the fusion of "meta" and "universe," encompasses a three-dimensional virtual realm where avatars actively participate in a range of political, economic, social, and cultural activities. With the recent development of the metaverse, the traditional way of experiencing services is changing. While existing studies have mainly focused on the technological advancements of metaverse services (e.g., scope of technological enablers, application areas of technologies), recent studies are focusing on evaluating the quality of experience (QoE) of metaverse services from a customer perspective. This is because understanding and analyzing service characteristics that determine QoE from a customer perspective is essential for designing successful metaverse services. However, relatively few studies have explored the customer-oriented approach for QoE evaluation thus far. This study conducted an online review analysis using text mining to overcome this limitation. In particular, this study analyzed 227,332 online reviews of the Roblox service, known as a representative metaverse service, and identified points for improving the Roblox service based on the analysis results. As a result of the study, nine service features that can be used for QoE evaluation of metaverse services were derived, and the importance of each feature was estimated through relationship analysis with service satisfaction. The importance estimation results identified the "co-experience" feature as the most important. These findings provide valuable insights and implications for service companies to identify their strengths and weaknesses, and provide useful insights to gain an advantage in the changing metaverse service environment.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.148-162
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• 2023

The objective of this study is to derive the appropriate perception location for changes in driving behavior of autonomous vehicles in urban road environments based on traffic safety signs. For this purpose, 32 types of signs that induce changes in driving behavior were selected from currently used traffic safety signs and classified as three types according to changes in driving behavior. Based on this, three scenarios were designed: stop, speed change, and lane change scenarios. These were used to confirm the impact on traffic flow. As a result of the analysis, it was found that each scenario needs to receive information on traffic safety signs in advance to ensure changes in traffic flow and safety. Consequently, the appropriate perception location can be used as a basis for establishing standards for delivering message sets to autonomous vehicles or revising traffic safety signs for them. In addition, this study is expected to contribute to the establishment of safe and efficient driving strategies on urban roads as autonomous vehicles are introduced in the future.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.137-144
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• 2023

Cyberattack technology is evolving to an unpredictable degree, and it is a situation that can happen 'at any time' rather than 'someday'. Infrastructure that is becoming hyper-connected and global due to cloud computing and the Internet of Things is an environment where cyberattacks can be more damaging than ever, and cyberattacks are still ongoing. Even if damage occurs due to external influences such as cyberattacks or natural disasters, intelligent self-recovery must evolve from a cyber resilience perspective to minimize downtime of cyber assets (OS, WEB, WAS, DB). In this paper, we propose an intelligent self-recovery technology to ensure sustainable cyber resilience when cyber assets fail to function properly due to a cyberattack. The original and updated history of cyber assets is managed in real-time using timeslot design and snapshot backup technology. It is necessary to secure technology that can automatically detect damage situations in conjunction with a commercialized file integrity monitoring program and minimize downtime of cyber assets by analyzing the correlation of backup data to damaged files on an intelligent basis to self-recover to an optimal state. In the future, we plan to research a pilot system that applies the unique functions of self-recovery technology and an operating model that can learn and analyze self-recovery strategies appropriate for cyber assets in damaged states.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1143-1149
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• 2023

The purpose of this study was to the effects of case-based learning (CBL) on problem solving ability and academic self-efficacy in nursing students and was a quasi-experimental study with a one-group pretest-posttest design. The subjects of this study were 121 grade 4 students, and the data collection period was from Aprill 24 to June 12, 2023. The research procedure was scenario development, preliminary investigation, application of case-based learning classes, and follow-up investigation, and the CBL was conducted for 2 weeks, 50 minutes per week. The general characteristics of the subjects were obtained by frequency, percentage, mean, and standard deviation and the effects of CBL on problem solving ability and academic self-efficacy was tested using a paired t-test. The results of this study showed that nursing students' problem solving ability (t=-5.70, p<.001) and academic self-efficacy (t=-3.25, p<.002) improved after applying CBL compared to before applying it. We suggest the use of case-based learning as a strategy to improve problem-solving skills and academic self-efficacy in nursing education. In the future, follow-up research is needed to verify the effectiveness by developing and applying step-by-step clinical cases at an appropriate level according to the learning content of nursing major subjects by grade.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.303-328
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• 2024

In this study, we designed and verified a research model in order to determine whether ESG management for public libraries affects the perception of libraries, user satisfaction, and the intention to revisit. A survey was conducted among the users of six public libraries in the Gyeonggi region and 25 libraries in Seoul, and 247 valid responses from the survey were analyzed. The analysis revealed that the environment and society factors of ESG management had a positive effect on the perception of libraries and user satisfaction. It also showed that the libraries' perception had a positive impact on user satisfaction and the intention to revisit, and user satisfaction showed a positive correlation for the intention to revisit. From the analysis, we can infer that the effects of ESG management were reflected in everyday life via public libraries as ESG management of the public libraries influenced the perception of libraries, user satisfaction, and the intention to revisit. We confirmed that users showed the intention to revisit if the library provides positive and sincere satisfaction through ESG management, due to public libraries having ethical and moral significance to users. We have also put forward practical marketing strategies and identified areas for enhancement that can prove beneficial to public libraries.

• Convergence Security Journal
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• v.24 no.2
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• pp.89-104
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• 2024

This study is an empirical study to examine the factors that influence the intention to use artificial intelligence (AI) technology for SW engineering-related tasks, and the purpose of the study is to understand the key factors that influence the use in terms of AI augmentation characteristics and interactive UI/UX characteristics. For this purpose, a survey was conducted among information and communication workers who have experience in using AI-related technologies and the collected data was analyzed. The results of the empirical analysis showed that perceived usefulness was positively influenced by the factors of expertise, interestingness, realism, aesthetics, efficiency, and flexibility, and perceived ease of use was positively influenced by the factors of expertise, interestingness, realism, aesthetics, and flexibility. Variety had no effect on both perceived ease of use and perceived usefulness. Perceived ease of use had a significant effect on perceived immersion, which positively influenced intention to use. These findings are significant in that they provide an academic understanding of the factors that influence the use of AI-enhanced tools in SW engineering-related tasks such as application design, development, testing, and process automation, as well as practical directions for the creators of tools that provide AI-enhanced development services to develop user acquisition strategies.