• Journal of Korean Academy of Nursing
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• v.49 no.2
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• pp.171-180
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• 2019

Purpose: The Korean Triage and Acuity Scale (KTAS) is a tool used to classify the severity and urgency of emergency department (ED) patients, focusing on their symptoms. In consideration of the importance of the KTAS, a web-based learning program has emerged as a new mode of education; it enables ED triage nurses to access it anytime and anywhere, and according to their own learning abilities. This study aimed to develop a web-based KTAS learning program and evaluate its effects on self-efficacy and triage performance ability in ED nurses. Methods: A quasi-experimental design with a non-equivalent control group pretest-posttest was used. The conceptual framework was Bandura's self-efficacy theory. There were 30 participants in the experimental group and 29 in the control group. The experimental group attended an orientation and 4 sessions of a web-based KTAS learning program. The learning program lasted 280 minutes over five weeks, consisting of 40 minutes of orientation and four 60-minute sessions. Results: The scores of self-efficacy, triage performance ability in KTAS level, and chief complaints significantly increased in the experimental group compared to the control group. In addition, the numbers of under-triage in KTAS significantly decreased in the experimental group in comparison to the control group. Conclusion: The results suggest that the learning program was effective in improving ED nurses' level of self-efficacy and triage performance ability (KTAS level and KTAS chief complaint). Accordingly, the web-based KTAS learning program can be applied as an education intervention to improve ED nurses' triage skill.

• Journal of Advanced Navigation Technology
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• v.21 no.6
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• pp.674-679
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• 2017

As the importance of the 4th industrial revolution and ICT technology increased, it became a software centered society. Existing software training was limited to the composition of the learning environment, and a lot of costs were incurred early. In order to solve these problems, a learning method using a web compiler was developed. The web compiler supports various software languages and shows compilation results to the user via the web. However, Web compilers that support artificial intelligence technology are missing. In this paper, we designed and implemented a tensor flow based web compiler, Google's artificial intelligence library. We implemented a system for learning artificial intelligence by building a meteorJS based web server, implementing tensor flow and tensor flow serving, Python Jupyter on a nodeJS based server. It is expected that it can be utilized as a tool for learning artificial intelligence in software centered society.

• The Journal of Korean Association of Computer Education
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• v.9 no.4
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• pp.1-14
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• 2006

The purpose of the study was to investigate how to improve students' information literacy and problem solving abilities in the computer subject. A web-based problem-based learning (PBL) for computer subject for the 8th graders in middle school are designed and developed. In addition. the process of learners' problem solving on problems produced from PBL model was analysed 10 investigate the way how to evaluate learners' responses and products during two semester.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.38-59
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• 2022

Web services instances can be classified into two categories, namely trusted and untrusted from users. A web service with high throughput (TP) and low response time (RT) instance values is a trusted web service. Web services are not trustworthy due to the mismatch in the guaranteed instance values and the actual values achieved by users. To perform web services selection from users' attained TP and RT values, we need to verify the correct prediction of trusted and untrusted instances from invoked web services. This accurate prediction of web services instances is used to perform the selection of web services. We propose to construct fuzzy rules to label web services instances correctly. This paper presents web services selection using a well-known machine learning algorithm, namely REPTree, for the correct prediction of trusted and untrusted instances. Performance comparison of REPTree with five machine learning models is conducted on web services datasets. We have performed experiments on web services datasets using a ten k-fold cross-validation method. To evaluate the performance of the REPTree classifier, we used accuracy metrics (Sensitivity and Specificity). Experimental results showed that web service (WS1) gained top selection score with the (47.0588%) trusted instances, and web service (WS2) was selected the least with (25.00%) trusted instances. Evaluation results of the proposed web services selection approach were found as (asymptotic sig. = 0.019), demonstrating the relationship between final selection and recommended trust score of web services.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5531-5540
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• 2011

The Learning Models including the design principle about web 2.0 use in education has been recently presented. In types of web 2.0 tools, blogs are the best tool that reflected the trends of web 2.0 and these are able to share a lot of information and contents. To invent new learning methods involving web 2.0, this study aims to get the results about effectiveness of learning performance on a supplementary learning tool based on blog using learner-centric UI/UX design in higher education. As a study tool, installation-type blog that can be designed as user-centric system is applied to experimental environment. This study presents the conclusion that supplementary learning tool based on blog using learner-centric UI/UX design influences on learning achievement and learning flow through the analysis of questionnaire results of learners, learning evaluation score of learners and assignments evaluation score of learners.

• The Journal of Society for e-Business Studies
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• v.9 no.1
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• pp.61-81
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• 2004

Learning Contents Management System(LCMS) manages the contents and the process of teaming by incorporating the both in a flexible system to help learners to be able to utilize them efficiently. The e-Learning comprises all types of educations based on electronic technologies as well as the Web. The existing e-Learning system is a simple information system providing Web based contents, therefore, it cannot support flexibility for both learners and teachers. The core part of the e-Learning system should be a remote education system which creates bilateral response between the learners and teachers, by providing substantial contents based on the LCMS. In this paper, a new e-Learning system is constructed with reusable modules generated by Component-Based software Development(CBD). Furthermore, creates new contents groups and enables to develop learning courses utilizing the Learning Objects. And also, observing the SCORM standard, lecture contents are designed and prepared to support learners Learners are supported to produce profiles which enables themselves to manage, measure, and evaluate their own capabilities, so that they can develop themselves properly in accordance with their levels, build prototypes for self development. Also a system that comprises all these individual components is suggested.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.87-94
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• 2022

Recently, with the development of information and communication infrastructure, the number of Internet access devices is rapidly increasing. Smartphones, laptops, computers, and even IoT devices are receiving information and communication services through Internet access. Since most of the device operating environment consists of web (WEB), it is vulnerable to web cyber attacks using web shells. When the web shell is uploaded to the web server, it is confirmed that the attack frequency is high because the control of the web server can be easily performed. As the damage caused by the web shell occurs a lot, each company is responding to attacks with various security devices such as intrusion prevention systems, firewalls, and web firewalls. In this case, it is difficult to detect, and in order to prevent and cope with web shell attacks due to these characteristics, it is difficult to respond only with the existing system and security software. Therefore, it is an automated defense system through the collection and analysis of web shells based on artificial intelligence machine learning that can cope with new cyber attacks such as detecting unknown web shells in advance by using artificial intelligence machine learning and deep learning techniques in existing security software. We would like to propose about. The machine learning-based web shell defense system model proposed in this paper quickly collects, analyzes, and detects malicious web shells, one of the cyberattacks on the web environment. I think it will be very helpful in designing and building a security system.

• Journal of Digital Contents Society
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• v.6 no.4
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• pp.209-216
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• 2005

The aim of this study is to examine the effects of web-based cyber instruction on EFL learning from the viewpoint of learners` perceptions and needs. Data was collected through a questionnaire survey that was carried out with 709 undergraduate student enrolled in three cyber English courses offered at N university during the secind semester in 2004. The results of the study indicated that the learners exhibited a positive attitude towards web-based cyber instruction and considered it a paper educational method in the cyber age. However, the students perceived that web-based cyber instruction was not greatly satisfactory in terms of cultivating their English communicative competence or improving the language skills they needed. It was also found that cyber instruction was still teacher-dominant, lacking in interaction, which made the students passive recipients of informaton presented. In comparison with off-line instruction, cyber instruction was not particularly better in enhancing their motivation interest or concentration on class. To be more effective, cyber instruction needs to be equipped not only with a large variety of contents and class activities, but also with more exposure to authentic language by native English speakers. The finding of the investigation yield some implications for the design and development of web-based cyber EFL programs.

• Journal of the Korean Home Economics Association
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• v.46 no.1
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• pp.1-14
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• 2008

The purpose of this study was to develop and implement web-based parental education programs applicable for the parents of young children in Korea. The results of this study were as follows. First, the parents of the young children recognized the importance of parental education, but were unable to participate in face-to-face parental education programs. However, they welcomed the possibility of participating in web-based parental education programs. Second, to develop web-based parental education programs, the parents' needs should be assessed and preliminary content analysis based on the previous works and subject specialists' opinions should be conducted. In addition, results of research about web-based education programs in various fields, especially about teaching-learning methods in web-based education for adult learners, should be considered in the process of developing web-based programs for the parents of young children. Third, various types of needs and demands should be assessed during the step-by-step program application periods and at the end of the program implementation. Finally, the parents who participated and assessed the web-based parental education program in this study were generally satisfied with the content and teaching-learning methods.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.57-69
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• 2017

Due to the development of technology even in learning and education area, many studies have begun to make a new attempts to research by using SNS, breaking away from traditional learning methods. However, the limitations of these studies are restricted only to the use of wireless Internet and writing on Web sites. This study aims to conduct a research on English learning activities that utilize various technologies such as Bigdata, Facebook, Social Network Services (SNS) and English applications. In addition, this study looks into how these modern technologies can be integrated in the classrooms and which activities can be applied in the English classroom. This research is to suggest effective English learning methods through a thorough investigation on the effectivity of various technologies based on the Web 2.0 such as Flickr, blogs, MySpace, and online discussion board within the context of the English learning. To verify the effect of the study, the subjects are divided into experimental and control group. The experiment is proceeded with pre- and post-test. The experimental group is designed to verify the effects using SNS tools such as Facebook, Bigdata, and Online Massive Learning. A survey is conducted to determine the preference of utilizing social networking sites and to analyze the effects in class. The result is that the average scores for experimental group have improved more than the average of control group. The comparison of pre and post-test of the experimental group shows that the significance of the higher and median group was statistically significant at the p<0.01.