• 대한간호학회지
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• 제36권2호
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• pp.286-298
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• 2006

Purpose: This study was to develop an online 'alternative therapy and health promotion' class for university students and to evaluate its changes. Method: The online class was developed based on the Instructional Systems Development(ISD) model and model of Web-Based Instruction(WBI) developmental process. This was a quasi-experimental, one group pretest-posttest design. The subjects of this study were 130 students in 3 universities, and they were provided the cyber class for 16 weeks. Data was analyzed by descriptive and plural answer statistics, and paired t-test. Results: The cyber class was developed in five steps : analysis, design, data collection and reconstruction, programing and publishing, and evaluation. The results of program evaluation were positive, which included learning 3.47. system 3.57, and learning satisfaction 3.64 on the scale of 5. The posttest scores of cognition and reliability of alternative therapy were higher than pretest scores. The posttest score of health promoting lifestyle(t=-5.051, p=.000) and perceived health status(t=2.979, p=.003) were significantly higher than those of the pretest. Conclusion: These results suggest that the cyber class is a positive method in increasing a cognition, reliability of alternative therapy, and is effective to improve a health promotion lifestyle and perceived health status for the university students.

• 대한가정학회지
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• 제47권10호
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• pp.39-49
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• 2009

The purpose of this study was to investigate Chinese women’s clothing purchase behavior and satisfaction for clothing made in Korea. Data was collected from Chinese women who had made purchases of Koreanmanufactured clothing using the Chinese online shopping mall named ‘TaoBao’. In total, the responses of 439 questionnaires were tabulated and analyzed using the SPSS program 12.0. Results were as follows: 1) Shopping motivation was classified based on two factors: transformation motivation and information motivation. Most Chinese women who purchased clothing made in Korea did so because of information motivation. Results showed that the place of manufacturing origin(i..e Korea) did not negatively impact Korean clothing products at this online shopping mall. 2) Purchase satisfaction was influenced by three factors: quality satisfaction, wearing/management satisfaction, and design satisfaction. Most Chinese women were satisfied with clothing made in Korea in terms of the design factor. 3) There were correlations among Chinese women’s shopping motivation and purchase satisfaction for clothing made in Korea.

• 정보교육학회논문지
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• 제14권1호
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• pp.13-23
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• 2010

정보화 시대의 개인의 개성과 창의력은 지식산업에 요구되는 시대적 요청이다. 로봇 프로그래밍 교육이 학습자의 창의성 신장의 측면에 있어 의미 있는 효과가 있는 것으로 알려지고 있다. 기존의 로봇프로그래밍 도구들은 텍스트 기반 혹은 GUI 기반 저작도구기능을 가지고 있다. 그러나 대부분의 프로그래밍 도구들은 상호작용기능이 없는 단순한 튜토리얼을 제공하고 있는 실정이다. 본 연구에서는 웹 2.0의 상호작용 기술을 응용하여, 협력 코드 생성이 가능한 로봇 프로그래밍 교육 시스템을 연구하였다. 시스템이 제공하는 협력코드 생성기능을 통해 학습자들은 협력하여 로봇 프로그래밍을 생성하는 경험을 할 수 있다. 또한 학습자들은 지식공유 기능을 활용하여 효과적인 프로그램 디자인의 경험과 소스코드의 공유가 가능하다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2194-2210
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• 2018

In the era of big data, consumers capture more and more economic surplus yet the seed of distrust also grows with the fast-spreading of social commerce, this paper began with the idea that product types may determine the degree of consumers' distrust even when identical discounts are offered for those products on Chinese social commerce websites. We also attempted to determine if distrust negatively affected consumers' purchase attitudes. 20 representative products that are commonly sold on social commerce websites in China were chosen to examine the relationships among product types, discount rates, distrust levels, and purchase attitudes. Inductive interview was used to collect the data as well as consumers' perceptions of the relationships. Data analysis results suggested that consumers like deep discounts, but their distrust levels increase along with the discount rates, however, the levels of increasing distrust vary according to product types. High, medium, and low discount rate categorizations were made and three propositions were suggested. This paper will contribute to the body of knowledge on online social commerce market and provide valuable implications for e-retailers and general consumers in online social commerce websites in China.

• 한국게임학회 논문지
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• 제21권2호
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• pp.3-16
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• 2021

본 연구는 온라인 FPS게임 '오버워치', '배틀그라운드'의 커뮤니티 게시글 제목을 '핵'이라는 키워드를 중심으로 수집하여 살피고, 이를 부르디외의 '재생산' 개념을 근간으로 하여 해석해 봄으로써 온라인 FPS게임 '오버워치'와 '배틀그라운드' 유저가 갖는 자본의 양상 및 계급 구조에 대하여 살펴보고자 하였다. 연구에 활용된 데이터는 통계프로그램 R과 키워드 분석 사이트인 '빅카인즈'를 통해 수집 및 정제되었다. 이를 통해 온라인 FPS 게이머 집단의 계급 구조가 문화자본 중심으로 이루어져 재생산되고 있음을 밝히고, 문화자본 중심의 계급 구조 속에서 게임 핵 규제 정책이 나아가야할 올바른 방향성까지도 제언해보고자 한다.

• 한국초등과학교육학회지:초등과학교육
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• 제40권1호
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• pp.66-80
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• 2021

This study is a case study that applies plant classification learning using machine learning to fourth graders in elementary school in online learning situations. In this study, a plant classification learning education program associated with 2015 revision science curriculum was developed by applying the Artificial Intelligence biological classification teaching Learning model. The study participants were 31 fourth graders who agreed to participate voluntarily. Plant classification learning using machine learning was applied six hours for three weeks. The results of this study are as follows. First, as a result of image analysis on artificial intelligence, participants were mainly aware of artificial intelligence as mechanical (27%), human (23%) and household goods (23%). Second, an artificial intelligence recognition survey by semantic discrimination found that artificial intelligence was recognized as smart, good, accurate, new, interesting, necessary, and diverse. Third, there was a difference between men and women in perception and emotion of artificial intelligence, and there was no difference in perception of the ability of artificial intelligence. Fourth, plant classification learning using machine learning in this study influenced changes in artificial intelligence perception. Fifth, plant classification learning using machine learning in this study had a positive effect on reasoning ability.

• 디지털산업정보학회논문지
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• 제17권2호
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• pp.37-45
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• 2021

In this study, we want to analyze the difference in cost structure for the LAN audience system, which emerged as an alternative to the existing audience system due to the influence of Covid-19, and to analyze the utilization of the LAN audience system. To this end, the incremental cost difference between the existing audience system and the LAN audience system in the production of the broadcast program was compared and analyzed through the broadcasting production case by the actually performed LAN audience system. According to the research, the existing audience system has a linear cost structure that increases with the number of audience participants, while the LAN audience system has a calculated cost structure that gradually increases with the range of audience participants. These findings indicate that the LAN-line audience system costs more than the audience system, but the total cost is lower than the audience system for a certain number of people or more. This is a supplement to the existing audience system, which could not attract more audiences due to the lack of production costs, suggesting that the online audience system plays a role in supplementing the open broadcasting production system.

• 대한방사선기술학회지:방사선기술과학
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• 제44권6호
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• pp.679-688
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• 2021

This study is a questionnaire about the lesson environment that radiation major students prefer in a non-face-to-face live online lesson environment for a total of 133 students, 65 second graders and 68 third graders who are enrolled in the department of radiology at a university located in the Seoul metropolitan area. And checked the satisfactory level by grade. The questionnaire consists of three categories: 1st real-time non-face-to-face lectures, 2nd professor lectures, and 3rd corona lectures. A total of 14 questions, with multiple choice and descriptive response methods. As an evaluation method, in the case of a multiple-choice question, the average was calculated using a 5-point Likert scale. As a result of conducting the independent sample T-test of the SPSS program, the response by grade was P > 0.05, and no significant result was shown by the contents of the questionnaire survey of the second grade. As for the lecture method of the department of radiology after the end of Covid-19 virus, it is better to promote face-to-face lessons in radiation training subjects and non-face-to-face real-time education in subjects centered on radiation theory.

• 유통과학연구
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• 제20권7호
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• pp.73-86
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• 2022

Purpose: Considering the COVID-19 pandemic and the increasing number of online food delivery applications (OFDA), this study aims to assess the distribution of the presence of Indonesian OFDA and to measure the factors that influence the spending habits of OFDA users. Research design, data and methodology: Two hundred and nine OFDA users from Jakarta's Generation Z were surveyed via a questionnaire. The data were analyzed using Structural Equation Modeling and SMART PLS 3.0. Results: OFDAs were introduced into Indonesia in the recent past with varying degrees of popularity determined by the number of downloads. Users' intention to use was not determined by the speed of the introduction of an OFDA. This study also reveals that previous experience of the service, the orientation of time and price savings had a significant effect on spending habits. A moderating role of the saving variable on time and price was not demonstrated. Conclusions: The results of the study suggest that, in COVID-19 pandemic conditions, the spending habits of Generation Z are not based on impulse, thrift, or extravagance. The pandemic shaped specific motivations in spending habits, namely prioritizing need. This study has limitations, including the small sample size and the use of internal variables.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.209-214
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• 2024

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.