• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.307-317
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• 2018

The purpose of this study was to evaluate effects of mobile web-based cardiopulmonary resuscitation(CPR) convergence education for nurses. This study used a nonequivalent control group pretest-posttest design. A sample of 46 nurses was included. The experimental group was given mobile web-based online CPR education with self-directed offline CPR practice. The control group was given traditional CPR lecture education with CPR practice. The data were collected using a structured questionnaire and performance skill test and were analyzed using SPSS 21.0 program. The experimental group had higher scores on CPR knowledge and CPR self-efficacy than those of the control group. there were no significant differences between groups (p=.741; p=.162). CPR skill ability was significantly higher in the experimental group compared to the control group(p=.001). This findings indicate that mobile web-based CPR convergence education can be an effective to strengthen CPR capabilities for nurses. These contribute to expanding convergence of education program development.

• Human Ecology Research
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• v.61 no.1
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• pp.15-28
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• 2023

The aim of this study was to develop, implement, and evaluate the use of Artificial Intelligence in the prevention of violence among middle-school students. The sample for this study consisted of 20 first-year middle-school students who participated in theme selection activities in a free semester program as part of their home economics studies. The data for the study consisted of nine class observation logs, four group activity outputs, 30 class results, an online survey, and in-depth interviews with three students. A program called "R.U.OK" was developed by setting problematic situation for school violence prevention linked to the contents of the Home Economics Education(HEE) curriculum. After the program was implemented, the survey on the students' class satisfaction content elements, with AI-based learning activities and PBL and interest, displayed high points, with an average of 4.0 or higher. Our qualitative analysis produced four significant results. First, students' concerns about school violence had increased and they showed a change in attitude, having more empathy with friends and more interest in their surroundings. Second, digital and AI literacy had improved, and students' interest in digital media learning had increased. Third, there had been an improvement in problem-solving ability in terms of being able to think more critically and independently. Fourth, the results also demonstrated that there had been a positive effect on self-direction and an improved capacity for teamwork. This study was significant in demonstrating the effectiveness of a program for the prevention of school violence based on the use of digital technology in the educational environment.

• The Korea Journal of Herbology
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• v.33 no.5
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• pp.39-46
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• 2018

Objectives : This study was aimed to assess the current educational environment of herbology and the possibility of collaborative learning of herbology with another discipline. This study will present information that can be used to find the direction of further researches and can be applied to the education of herbology. Methods : An online questionnaire was developed with and sent through SurveyMonkey to 242 korean medicine college students in Korea. The questionnaire comprised questions pertaining to herbology education in Korean Medicine universities and international healthcare cooperation education. The validity and reliability of the questionnaire were evaluated, and Spearman's correlation coefficients for two types of questions were evaluated. Results : Among the questions about herbology education, those regarding the necessity of learning clinical cases using herbal medicines for preventing infectious diseases were scored the highest. Students were mostly interested in the effects and indications of herbal drugs. Even students answered they did not learn about official development assistance, 79.85% students answered that they were interested in careers related with the international cooperation or willing to participate in the international cooperation. Three types of correlations showed a statistically significant correlation. Conclusions : This study suggests that herbology education about its effects and indications needs further improvement for competency-based education. Furthermore, herbology can play a critical role in competency-based education for Korean medicine students if a well-designed career program is developed for them.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.5
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• pp.413-417
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• 2002

The Internet technology has been recognized not only as a tool far communication in the 21st century but also as an environment for enabling changes in the paradigm of teaching and learning. This paper describes a web-based system development for chemical engineering education. Simulation and visualization of dynamic systems in the environment of a standard web-browser is made possible by extending its capabilities. ActiveX control is used to simulate the system tool far online representation of Virtual Lab. System that is developed using visual basic. The courseware is classified into tutorial, exercises, and virtual experiments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.1006-1027
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• 2022

In the crowdfunding market, various crowdfunding platforms can offer founders the possibilities to collect funding and launch someone's next campaign, project or events. Especially, healthcare crowdfunding is a field that is growing rapidly on health-related problems based on online platforms. One of the largest platforms, GoFundMe, has raised US$ 5 billion since 2010. Unfortunately, while providing crucial help to care for many people, it is also increasing risk of fraud. Using the largest platform of crowdfunding market, GoFundMe, we conduct an exhaustive search of detection on fraud from October 2016 to September 2019. Data sets are based on 6 main types of medical focused crowdfunding campaigns or events, such as cancer, in vitro fertilization (IVF), leukemia, health insurance, lymphoma and, surgery type. This study evaluated a detect of fraud process to identify fraud from non-fraud healthcare crowdfunding campaigns using various machine learning technics.

• Journal of Korean Elementary Science Education
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• v.36 no.3
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• pp.286-301
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• 2017

Nowadays, the public as well as science educators pays much attention to the fourth industrial revolution and wonders what will happen to the societies in the future. Thus, this study aimed at predicting the education environment which will be brought from the fourth industrial revolution, and suggesting the solutions or tasks to be investigated in science education. Through the literature review, this study categorized the major changes of future society into a wild fluctuation of job market, the shift from possession-based economy to sharing economy, post-urbanized and distributed system, and the crisis of dehumanization. According to the four major changes, this study predicted the future environment that will occur to the educational system. First, the students should the competences necessary for the future and the school curriculum will be changed in terms of width and depth. Second, sharing economy may bring about the open platform similar to MOOC (Massive Open Online Course) or TED. Third, the manifestation of artificial intelligence in education will enable the individual and paced learning, and thanks to the change, the concept of distributed cognition will be more focused in education research. Fourth, the collaborative learning and character education should be more stressed to resist the dehumanization. This study suggests relevant tasks and issues that should be tackled for the successful change in primary and secondary schools.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2814-2832
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• 2014

As information society matures to an even higher level and as information technology becomes a necessity to our everyday lives, the needs to develop, support and satisfy personal and social needs without the limitation of time, space, and location have become a vital point to everyday lives. Smartphone users are increasing at a staggering rate but the research on mobile-Learning model and the implementation of m-Learning scenario are still behind the needs of the users. Therefore, this paper focuses on the design of 'repeatable and short-spanned m-Learning model' to meet the needs of the learners who are on the go and on the move with their smartphones. Smartphone users frequently reach out for their phones but compare to the frequencies, the actual span of time they spend per use are relatively and surprisingly short. One way to understand this phenomenon is that the users tend to immediately replace their smartphones with laptops or desktops whenever they are available. A leaning model was needed to reflect this short and frequent use, a use that is solely based on the smartphone environment. This proposed learning model first defines this particular setting and implements the model to real smartphone users over an 8 week period. To understand whether different learning backgrounds can influence this model, different schools with online and offline learning channels participated in the experiment. User survey was conducted after the experiment to get a better understanding of the smartphone users. Pretest and posttest were conducted before and after the experiment and the data were validated and analyzed using SPSS version 18.0 for PC. Preliminary descriptive statistics, multiple regression and cross validation was conducted for the analysis. The results showed that the proposed English Listening and Comprehension Mobile Digital Textbook (ELCMDT) had a positive effect on the learners in general and was more effective for learners who were already experienced with online learning.

• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.45-57
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• 2014

Many studies on algorithm judging system which verifies the correctness and the time efficiency of your program have been underway recently, most of which are on an online judging system focused on programming contests. However this study is mainly about development and application of the judging system based on client-server. Especially, we designed to promote metacognition and motivation which are emphasized in CRESST model, and implemented the total system that consists of the problem, data set, validation program, and user service environments. We applied our system to elementary, middle, and high school students, and We noticed a significant difference of average score between the experimental and control group in posttest and concluded that the teaching method using our system gave the bigger positive effects on programming learning.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.1
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• pp.1-15
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• 2022

In a situation in which online classes were suddenly introduced due to COVID-19, there were many cases where learners did not properly learn science process skills that were not presented in the achievement standards for reasons such as reducing the number of class hours. It is difficult to expect positive science inquiry ability and science attitude from learners who have entered middle school without understanding the process skills. Therefore, in this study, the effect on science inquiry ability and science attitude was investigated by developing worksheets with enhanced process skills and applying it to learner-centered teaching linked online and offline. As a result, it was confirmed that there was a statistically significant positive difference between both. Based on this research, it is expected that students will pay attention to the process skills, which is the basis of science subjects, and continue to experience the process skills through learning-centered classes.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.105-111
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• 2022

Multiple-choice survey types have been mainly performed to analyze students' needs for online classes. However, in order to analyze the exact needs of students, unstructured data analysis by answer for essay question is required. Big data is applied in various fields because it is possible to analyze unstructured data. This study aims to investigate and analyze what students want subjects or topics for software lecture in general education that process on non-face-to-face online teaching methods. As for the experimental method, keyword analysis and association analysis of big data were performed with unstructured data by giving a subjective questionnaire to students. By the result, we are able to know the keyword what the students want for software lecture, so it will be an important data for planning and designing software lecture of liberal arts in the future as students can grasp the topics they want to learn.