• Journal of Korea Game Society
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• v.9 no.1
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• pp.63-74
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• 2009

This paper mainly focused on research developing online game characteristic evaluation system based on game characteristic evaluation model design. Online game characteristic evaluation system is a system that evaluates game online in real-time using evaluation elements defined by model design. Game characteristic evaluation system uses heuristic evaluation method, which is used to execute evaluation in four parts, technical element, manage element, social element, and competitive element. To verify objectivity and validity of game characteristic evaluation, assessment was performed by three groups of beginners, intermediates, and professionals to increase the trust. And game characteristic evaluation forum was hosted to collect opinion from diverse classes.

• Asian Journal of Business Environment
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• v.5 no.4
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• pp.37-46
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• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• Korean Medical Education Review
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• v.23 no.3
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• pp.154-159
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• 2021

The coronavirus disease 2019 (COVID-19) pandemic has profoundly impacted all aspects of undergraduate, postgraduate, and continuing medical education. Only the focus of medical education-care for patients and communities-has remained an integral part of all of the above sectors. Several challenges have been experienced by learners and educators as the education and training of future doctors has continued in the midst of this crisis, including the cancellation of face-to-face classes and training, reduced patient encounter opportunities, fairness issues in online assessments, disruption of patient interview-based exams, reflections on the role of doctors in society, and mental health-related problems linked to isolation and concerns about infection. In response to these disruptions, educators and institutions have rapidly deployed educational innovations. Schools have adopted educational strategies to overcome these challenges by implementing novel education delivery methods in an online format, providing clinical experiences through simulation or telehealth methods, introducing online assessment tools with formative purposes, encouraging learners' involvement in nonclinical activities such as community service, and making available resources and programs to sustain learners' mental health and wellness. During the COVID-19 pandemic, educators and institutions have faced drastic changes in medical education worldwide. At the same time, the quantitative expansion of online education has caused other problems, such as the lack of human collaboration. The long-term effects of the COVID-19 pandemic on medical education need to be studied further.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.289-297
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• 2022

The purpose of this study was to investigate the perception of dental students based on their experiences of online classes after taking non-face-to-face education courses for all the school semesters in 2020. For the research method, an online survey was conducted on A survey was conducted on 161 dental students enrolled in A University. The analytical method was conducted through frequency analysis, correlation analysis, and multiple regression analysis. The survey analysis findings showed that the satisfaction of dental students' about the non-face-to-face education course was above 4.2, and the detailed items were in the order of the appropriateness of the attendance processing method, satisfaction with recorded video lectures, and the assessment method of the course grade. In the case of the factors that affect the satisfaction of non-face-to-face education courses, the learning system and assessment method were statistically significant. The online class type that is most preferred by the students is recorded video lectures, and the highest number of participants chose 21~30 minutes as the appropriate time for the class content. It is considered that the application of the online system will continue to be used together with face-to-face education courses in the education site and various university-level efforts like systematic support are required to achieve effective learning achievements. This study only investigated the non-face-to-face education operation conditions of A University, so it cannot be generalized to all universities, but it can be used as basic data to provide education curriculum design and supportive measures for the compatibility of face-to-face and non-face-to-face courses.

• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1527-1534
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• 2016

Online voltage stability monitoring using real-time measurements is one of the most important tasks in a smart grid system to maintain the grid stability. Loading margin is a good indicator for assessing the voltage stability level. This paper presents an Extreme Learning Machine (ELM) approach for estimation of voltage stability level under credible contingencies using real-time measurements from Phasor Measurement Units (PMUs). PMUs enable a much higher data sampling rate and provide synchronized measurements of real-time phasors of voltages and currents. Depth First (DF) algorithm is used for optimally placing the PMUs. To make the ELM approach applicable for a large scale power system problem, Mutual information (MI)-based feature selection is proposed to achieve the dimensionality reduction. MI-based feature selection reduces the number of network input features which reduces the network training time and improves the generalization capability. Voltage magnitudes and phase angles received from PMUs are fed as inputs to the ELM model. IEEE 30-bus test system is considered for demonstrating the effectiveness of the proposed methodology for estimating the voltage stability level under various loading conditions considering single line contingencies. Simulation results validate the suitability of the technique for fast and accurate online voltage stability assessment using PMU data.

• International journal of advanced smart convergence
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• v.5 no.4
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• pp.48-53
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• 2016

In this paper, all elements used in integrated infrastructure for job competency assessments of NCS (National Competency Standards) will be merged into assessment system using multiple devices(ASMD). NCS is a systematic approach on required abilities (knowledge, technical expertise, attitude) to process the tasks in the fields by industry. Competiveness of ASMD design is that no limitation of time and space using personal devices like PC, laptop, smartphone, and tablet, while seeing screen, hearing, touching, speaking, and writing. Question type can be limitless to express the situation. To lead technologies and market for domestic and oversea assessment system, supporting on multiple devices with connectivity that will eliminate limitation of time and space is the key feature for design competitiveness. Design of integrated assessment system proposed in this paper can be applied to NCS, fundamental competency evaluation, online test, job aptitude test, and foreign language test which involve listening, reading, writing, and speaking. Compared with existing evaluation method, reduction of investment and operating cost will be greater. Along with development of ICT technologies, the next generation of integrated assessment system will be quickly changed to ASMD, which already involves connected service between internet and smart devices.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.350-358
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• 2021

The purpose of this study is to analyze the status of rights for online learning of students with developmental disabilities in the COVID-19 situation and suggest plans to promote the rights focusing on parents with children with disabilities. This research conducted the mixed method, which utilizes the survey of 200 parents with children in chungbuk, who have developmental disabilities, and FGI of six parents. The survey analysis shows that 50.5% of the respondents could not support their children due to telecommuting. The most urgent support system for learning assistance was identified as support for assistive personnel. As a result of the analysis of FGI, two categories of "status of online classes in the COVID-19," "improving non-contact learning environment considering the nurturing environment," "diversifying teaching methods such as video classes," "introducing of a contextual assessment," and "enhancing health support." Based on these findings, the study proposed to review legal grounds for online classes for disabled students, expand the dispatch of learning support personnel and prepare plans to promote the online learning environment.

• Journal of the Korean Applied Science and Technology
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• v.41 no.2
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• pp.305-317
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• 2024

This study is a pre-experimental research that applied one-group pretest-posttest design to find out effects of the health assessment learning program using an online platform on the problem-solving process, critical thinking disposition, class participation, and class flow of nursing college students. Data before and after participation in the learning program using the online platform were collected from second-year nursing students who were 52 test subjects taking the health assessment and practice course at J University located in G-gun, C-buk-do. As a result of analyzing, it was found that the problem-solving process (t=-2.569, p=.013), critical thinking disposition (t=-5.363, p<.001), class participation (t=-4.429, p<.001), and class flow (t=-3.747, p<.001) were statistically significantly improved according to before and after participation in the program. Therefore, it is believed that a learning program using an online platform can be used to improve the problem-solving process, critical thinking disposition, class participation, and class flow of nursing college students during health assessment classes.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.4
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• pp.583-588
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• 2016

The high-temperature steam pipes of thermal power plants are subjected to severe conditions such as creep and fatigue due to the power plant frequently being started up and shut down. To prevent critical pipes from serious damage and possible failure, inspection methods such as computational analysis and online piping displacement monitoring have been developed. However, these methods are limited in that they cannot determine the life consumption rate of a critical pipe precisely. Therefore, we set out to develop a life assessment system, based on a three-dimensional piping displacement monitoring system, which is capable of evaluating the life consumption rate of a critical pipe. This system was installed at the "M" thermal power plant in Malaysia, and was shown to operate well in practice. The results of this study are expected to contribute to the increase safety of piping systems by minimizing stress and extending the actual life of critical piping.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.121-127
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• 2018

This paper develops and builds an Integrated Assessment System for National Competency Standard Professional Basic. The integrated evaluation system for basic job competency in the National Competency Standards is developed to conduct examination by means of computers, smartphones and tablet PCs. The system can be used for the basic job competency test, examination for online cyber universities, job competency examination for enterprises, and the listening, reading, and speaking test in the foreign language proficiency examination and is even better in terms of facility investment and saved operating costs as well as efficient use of spaces in comparison with conventional evaluation schemes. Even greater synergy effects can be achieved by providing support for the integrated evaluation system for basic job competency in connection with the NCS qualification system. The evaluation system has been tested and practiced at a specialized high school and can be applied to the NCS education evaluation of the college and four-year college and to the selection examination of new employees of the company.