• Journal of Agricultural Extension & Community Development
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• v.8 no.1
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• pp.15-23
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• 2001

As Internet and World Wide Web become more popular in our society, the interests in effective application to the field of rural development and agricultural extension service are increasing. The potential in Web-based agricultural extension service is expressed in many areas, such as agriculture information, Web-based training and education, and virtual rural community for rural development and agricultural extension service. The research on the Web and its related issues has been conducted in many ways, but the interests in the competencies and skills of staff who are in charge of Web developing and managing have not been exposed yet. The purpose of this study was to investigate the important competencies and skills for Web developing and managing for enhancing the effectiveness of rural development and agricultural extension service. Twelve extension service staff and on staff in the extension service support center were interviewed. The results of study showed that there were eight essential competencies; competencies to understand rural community and agricultural extension service, to understand the farmers as Web users, to design and develop effective Web sites, to understand the nature of hypertext, to utilize instruction theories, to absorb new technology, to manage projects, and to utilize external sources. The results of study also showed that there was lack of support systems for Web development and information. Overall, the findings of this study suggest that establishing long-term education and training system for technology, electronic performance support systems, and cooperation with universities and colleges for technology are of particular importance for promoting Web-based extension services.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.19 no.1
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• pp.122-133
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• 2012

Purpose: The purpose of this study was to develop a web-based education program on control vancomycin-resistant enterococci (VRE) infections and to identify the effects of the program on knowledge and performance of nursing students. Methods: The web-based VRE infection control education program was developed by using the network-based instructional systems design model. The nursing students in the experimental group could access this web-based education program at any time, and as many times as they wanted, during the clinical training period. Effects were evaluated by assessing knowledge and performance of VRE infection control measures during the clinical training period. Results: The contents of the education program included diagnosis, transmission, and treatment of VRE, contact precautions, hand washing, personal protective equipment, environment management, and quizzes. The lecture portion was filmed in a virtual screen studio using flash animation, video, and sound effects, and it was uploaded on an internet site. The knowledge and performance scores of the experimental group after using the education program were significantly higher than those of the control group. Conclusion: The results suggest that the web-based VRE infection control education program is an effective educational method to enhance knowledge and performance of VRE infection control measures.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.962-967
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• 2005

Construction management requires decision-making skills. Main approaches to training construction management students are: (1) analyzing sample situations involving decision-making; and (2) teaching logical decision-making procedures. The absence of 'pressure' factors in these approaches has significant impacts on the success of the training. The approaches also lack 'dynamic' effects that help create a spontaneous plan for construction projects where unforeseen changes and interruptions may occur. To minimize the adverse effects of the existing approaches, this paper proposes a framework for developing a web-based training system. The application is delivered as a game involving decision-making on the student's part in response to developments at the job-site, and where one student competes against another in an attempt to simulate a real-world scenario.

• Journal of Korean Clinical Nursing Research
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• v.28 no.2
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• pp.112-121
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• 2022

Purpose: This study aims to identify the effects of mobile web-based COVID-19 isolation hospitalization management training on patient's uncertainty, anxiety, and nursing education satisfaction. Methods: Patients hospitalized with COVID-19 isolation rooms from August to October 2021, in Medical Center B which is an infectious disease dedicated hospital located in metropolitan city B were included. The total number of subjects was 142, of which 71 were the experimental group and 71 the control group. As an experimental treatment, a total of 5 minutes and 35 seconds of mobile web-based education were provided to the experimental group three times, including the day of, the first day of, and the second day of hospitalization. Existing training conducted on the control group was provided by the nurses in charge of the ward through oral explanation using printed materials. The data were analysed using the IBM SPSS/WIN 26.0 program. Results: Significant differences were observed between the two groups in pre-and post-assessment of uncertainty scores (t=-22.92, p<.001), anxiety scores (t=-15.03, p<.001) and nursing education satisfaction score (t=11.61, p<.001). Conclusion: As a result of the above, mobile web-based education can be used as an effective educational medium in nursing practice to improve the work efficiency and quality of nursing care and contribute to improving the patient's educational satisfaction.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.322-331
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• 2013

The purpose of the present study was to develop a convergent education contents for dementia prevention, operating on the web network applying modern information technology(IT). At the preparation stage, local and worldwide literatures related to dementia were analyzed followed by surveying industry demands, based on which the program was designed and developed. In the following enhancement stage, the program was modified as much as possible by advices obtained from experts in various fields. Development results of the present program are summarized as follows. Firstly, 645 intellect development model to prevent dementia was established through peer review and verification of convergent education theories by expert groups. This model was named as "Garisani" meaning "cognition capable of judging objects" in the Korean language. Secondly, 'Find a way' and 'Connect a line' modules were developed in the numeric field as well as 'Identify a letter(I, II)' modules, in the language field for web-based left brain training program. Thirdly, 'Find my car' and 'Vision training' modules in the attention field and 'Object inference' and 'Compare pictures' modules in the cognition field were developed for web-based right brain training program. Fourth, 'Pentomino' and 'BQmaze'(Brain Quotient and maze) modules in the space perception field and 'Visual training' in the memory field were developed for web-based left and right brains training. Fifth, all results were integrated leading to a 52 week Garisani convergent education program for dementia prevention.

• Journal of Internet Computing and Services
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• v.11 no.3
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• pp.15-24
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• 2010

In this paper, we propose an image classification which combines semantic relations of tags with contents of images to improve the satisfaction of image retrieval on application domains as huge image sharing sites. To make good use of image retrieval or classification algorithms on huge image sharing sites as Flickr, they are applicable to real tagged Web images. To classify the Web images by 'bag of visual word' based image content, our algorithm includes training the category model by utilizing the preliminary retrieved images with semantically related tags as training data and classifying the test images based on PLSA. In the experimental results on the Flickr Web images, the proposed method produced the better precision and recall rates than those from the existing method using tag information.

• Journal of Korea Multimedia Society
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• v.6 no.4
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• pp.676-684
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• 2003

eLearning can be defined as an approach to teaching and teaming that utilises Internet technologies to communicate and collaborate in an educational context. This includes technology that supplements traditional classroom training with web-based components and learning environments where the educational process is experienced online. The use of hypertext as an educational tool has a very rich history. The advent of the internet and one of its major application, the world wide web (WWW), has given a tremendous boost to the theory and practice of hypermedia systems for educational purposes. However, the web suffers from an inability to satisfy the heterogeneous needs of a large number of users. For example, web-based courses present the same static teaming material to students with widely differing knowledge of the subject. Adaptive hypermedia techniques can be used to improve the adaptability of eLearning. In this paper we report an approach to the design a unified implementation framework suitable for web-based eLearning that accommodates the three main dimensions of hypermedia adaptation: content, navigation, and presentation. The framework externalises the adaptation strategies using XML notation. The separation of the adaptation strategies from the source code of the eLearning software enables a system using the framework to quickly implement a variety of adaptation strategies. This work is a part of our more general ongoing work on the design of a framework for adaptive content delivery. parts of the framework discussed in this paper have been imulemented in a commercial eLearning engine.

• Journal of information and communication convergence engineering
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• v.18 no.3
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• pp.176-182
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• 2020

In this paper, we propose a web-based open artificial intelligence (AI) platform which provides high convenience in input data pre-processing, artificial neural network training, and the configuration of subsequent operations according to inference results. The proposed platform has the advantages of the GUI-based environment which can be easily utilized by a user without complex installation. It consists of a web server implemented with the JavaScript Node.js library and a client running the tensorflow.js library. Using the platform, many users can simultaneously create, modify and run their projects to apply AI functionality into various smart services through an open web interface. With our implementation, we show the operability of the proposed platform. By loading a web page from the server, the client can perform GUI-based operations and display the results performed by three modules: the Input Module, the Learning Module and the Output Module. We also implement two application systems using our platform, called smart cashier and smart door, which demonstrate the platform's practicality.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.101-106
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• 2010

Due to significant advances in Internet technology, there have been many e-learning courses offered by universities and academic institutes nowadays through the Internet. And these courses have benefited many students who might be constrained by distance and time. Nevertheless, most web-based courses are lecturing courses that cannot fulfill the needs for engineering technology education. In this paper, we propose the design and implementation of web-based programmable logic controller(PLC) laboratory to support learning and training for industrial automation. The proposed web-based PLC laboratory system consists of virtual labs and remote labs. This web-based PLC laboratory can be accessed by registered students to practice PLC experiments at their own home, enhancing the quality of education without much increasing in the overall cost. With the help of web cameras, the students can even have experience the live PLC experiments through the Internet.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.325-333
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• 2016

The development of smart technology has brought the conversion of closed traditional e-learning contents into open flexible smart learning contents consisting of learner-centered modules, without the constraints of time and space by use of smart devices from the uniformed and passive classroom between teachers and learners. It has been demanded an open, personalized and customized teaching and learning contents of smart education and training systems according to wide supply of various smart devices. In this paper, we discuss about the status of the smart teaching and learning systems and analyze the characteristics and structure of the web contents for smart education and training systems by use of smart devices. And we propose a method how to block web contents, to extract them, and adapt personalized segments of web contents by adaptive algorithm into smart learning devices. We extract blocks from the web contents based on the smart device information and the preference information of the learners from existing web contents without the hassle of learners environment. After specifying a block priority from the extracted web contents by the adaptive segment algorithm, it can be displayed directly to the screen to fit the individual learning progress of the learners.