• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1377-1393
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• 2023

Social media is used for various purposes including entertainment, communication, information search, and voicing their thoughts and concerns about a service, product, or issue. The social media data can be used for information mining and getting insights from it. The World Health Organization has listed COVID-19 as a global epidemic since 2020. People from every aspect of life as well as the entire health system have been severely impacted by this pandemic. Even now, after almost three years of the pandemic declaration, the fear caused by the COVID-19 virus leading to higher depression, stress, and anxiety levels has not been fully overcome. This has also triggered numerous kinds of discussions covering various aspects of the pandemic on the social media platforms. Among these aspects is the part focused on vaccines developed by different countries, their features and the advantages and disadvantages associated with each vaccine. Social media users often share their thoughts about vaccinations and vaccines. This data can be used to determine the popularity levels of vaccines, which can provide the producers with some insight for future decision making about their product. In this article, we used Twitter data for the vaccine popularity detection. We gathered data by scraping tweets about various vaccines from different countries. After that, various machine learning and deep learning models, i.e., naive bayes, decision tree, support vector machines, k-nearest neighbor, and deep neural network are used for sentiment analysis to determine the popularity of each vaccine. The results of experiments show that the proposed deep neural network model outperforms the other models by achieving 97.87% accuracy.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.133-139
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• 2024

The educational situation, which resulted from the announced self-isolation regime, intensified the forced decisions on the organization of the distance educational process. The study is topical because of the provision of distance learning based on the experience of Kyiv National University of Culture and Arts. The study was conducted in three stages. Systemic, socio-communicative, competence approaches, sociological methods (questionnaires and interviews) were chosen as methodological tools of the research. The results of a survey of teachers and entrants to higher education institutions on the topic "Using social networks and digital platforms for online classes under the conditions of quarantine restrictions" allowed to scientifically substantiate the need for deeper knowledge of such tools as Google Meet (79%), Zoom (13.78%) and Google Classroom (11.62%), which are preferred by entrants. Almost a third of entrants (34.26%) noted the lack of scientific and methodological support for learning the subjects. The study showed high efficiency of messengers in distance education. The study found that in the process of organizing communication in the student-teacher system, it is necessary to take into account the priority of Telegram on the basis of which it is necessary to implement a chatbot for convenient and effective exchange of information about the educational process. Further research should focus on the effectiveness of the use of Telegram. The effectiveness of using chatbots should also be considered. Chatbots can be used to automate routine components of the learning process.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.167-174
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• 2023

Electronic educational environments in the conditions of quarantine restrictions of COVID-19 have become a common phenomenon for the organization of distance educational activities. Under the conditions of Russian aggression, Ukrainian proof of their use is unique. The purpose of the article is to analyze the role of electronic educational environments in the process of training applicants for higher education in Ukraine in the realities of a large-scale war. General scientific methods (analysis, synthesis, deduction, and induction) and special pedagogical prognostic methods, modeling, and SWOT analysis methods were used. In the results, the general properties of the Internet educational platforms common in Ukraine, the peculiarities of using the Moodle and Prometheus platforms, and an approximate model of the electronic learning environment were discussed. The reasons for the popularity of Moodle among Ukrainian universities are analyzed, but vulnerable elements related to security are emphasized. It was also determined that the high cost of Prometheus software and less functionality made this learning environment less relevant. The conclusions state that the military actions drew the attention of universities in Ukraine to the formation of their own educational platforms. This is especially relevant for technical and military institutions of higher education.

• Journal of Society of Preventive Korean Medicine
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• v.28 no.1
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• pp.43-57
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• 2024

Objectives : The aim of this study was to identify the effect of Medical humanities curriculum on students of Korean medical school in terms of cognitive, affective, and psychomotor level of humanities skill. Methods : The course was taught to second- and third-year Korean medicine students. The classes were held eight times a semester for second-year students and 9 times for third-year students, and each class was held once a week for 2 hours. Formative and summative assessments, group and individual assignments, and peer assessments were conducted to evaluate educational effectiveness, as well as basic lecture evaluations and satisfaction surveys. Results : Most of the students who took Medical humanities showed a performance rate of more than 60-70% in the cognitive aspect, and the total score was 14.48 with a standard deviation of 2.70 in the knowledge application stage. In terms of class satisfaction, students in Medical humanities I were more satisfied with the evaluation criteria and class management expertise, while students in Medical humanities II were most satisfied with the class organization, with an average score of 4.86/5. Conclusions : It was confirmed that students' humanities improved in cognitive, affective, and psychological aspects after medical humanities courses, and future research should be conducted on the long-term educational effects of medical humanities, effective teaching methods, and evaluation methods.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.542-559
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• 2020

This study was conducted to derive theoretical and practical implications in situations where innovation of the business is desperate in the face of the emergence of agile organizations and digital transformation. To do so, we tried to verify the correlation between negative feedback-seeking behavior and innovative behavior and whether the learning goal orientation of these two variables has a moderated mediating effect by coaching leadership. It analyzed the collected questionnaire from 381 members working in domestic companies; SPSS 25.0, AMOS 25.0, and Process Macro 3.0 were used. The analysis result showed that the negative feedback seeking behavior had a positive effect on the learning goal orientation, and the leader's coaching leadership found to have a moderating effect between the negative feedback seeking behavior and the learning goal orientation. Learning goal orientation has been found to have a moderated mediating effect between negative feedback seeking behavior and innovative behavior. This study is significant in the sense that it reveals the process of how members seeking negative feedback in the organization could be led to innovative behavior and shows the necessity of organizational support for coaching leadership for the vitalization of innovative behavior.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.654-678
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• 2020

Job crafting has gained prominence in organizational practice as an important factor to cultivate positive performance, the purpose of this study is to present theoretical and practical implications of job crafting by examination of the effective variables that induce job crafting. We verify the correlation between shared leadership and job crafting and the mediating effect of learning goal orientation and knowledge sharing in the relationship between these two variables. Hypotheses were established on the basis of precedent research and various theories including social cognitive theory and affective events theory. The data were collected by conducting online surveys of 318 office workers who have served in various domestic organizations. The reliability and validity of the collected data were verified by SPSS 25.0 and AMOS 25.0, and the hypotheses were analyzed by SPSS process macro 3.0. The study found that shared leadership yields positive effects on the learning goal orientation, knowledge sharing and job crafting of participants respectively and that learning goal orientation and knowledge sharing have a mediating effect in the relationship between shared leadership and job crafting. The results of this study present the effectiveness of shared leadership to facilitate the job crafting and implications and future research measures for the organization to develop a system for activating shared leadership, and for strengthening learning goals orientation and knowledge sharing.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.455-462
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• 2001

The World Wide Web has become one of the major services provided through Internet. When searching the vast web space, users use bookmarking facilities to record the sites of interests encountered during the course of navigation. One of the typical problems arising from bookmarking is that the list of bookmarks lose coherent organization when the the becomes too lengthy, thus ceasing to function as a practical finding aid. In order to maintain the bookmark file in an efficient, organized manner, the user has to classify all the bookmarks newly added to the file, and update the folders. This paper introduces our learning agent called BClassifier that automatically classifies bookmarks by analyzing the contents of the corresponding web documents. The chief source for the training examples are the bookmarks already classified into several bookmark folders according to their subject by the user. Additionally, the web pages found under top categories of Yahoo site are collected and included in the training examples for diversifying the subject categories to be represented, and the training examples for these categories as well. Our agent employs naive Bayesian learning method that is a well-tested, probability-based categorizing technique. In this paper, the outcome of some experimentation is also outlined and evaluated. A comparison of naive Bayesian learning method alongside other learning methods such as k-Nearest Neighbor and TFIDF is also presented.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.171-179
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• 2019

This study was to identify the influence of knowledge acquisition on creativity in an organization. We selected the learning orientation among variables related to the acquisition of knowledge and analyzed the moderating effects of motivation in the mediating process of learning orientation, professional knowledge, creative thinking ability, and the relationship between them. To this end, a research model and hypothesis were established through literature studies, and 296 questionnaires were distributed and collected from Daegu and Gyeongbuk to test hypotheses. As a result of the verification through hierarchical regression analysis, it was confirmed that learning orientation has a positive effect on creative thinking skill, and expertise has a mediating effect. And in this mediation relationship, the moderating effect of motivation was confirmed. These findings are suggestive by checking the relationship between the elements in the expression of creativity in detail and identifying the influence of learning orientation. It will be able to provide guidelines for organizational management by explaining the process of creativity through the development of knowledge.

• Information Systems Review
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• v.24 no.1
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• pp.21-37
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• 2022

Drug repositioning, one of the methods of developing new drugs, is a useful way to discover new indications by allowing drugs that have already been approved for use in people to be used for other purposes. Recently, with the development of machine learning technology, the case of analyzing vast amounts of biological information and using it to develop new drugs is increasing. The use of machine learning technology to drug repositioning will help quickly find effective treatments. Currently, the world is having a difficult time due to a new disease caused by coronavirus (COVID-19), a severe acute respiratory syndrome. Drug repositioning that repurposes drugsthat have already been clinically approved could be an alternative to therapeutics to treat COVID-19 patients. This study intends to examine research trends in the field of drug repositioning using machine learning techniques. In Pub Med, a total of 4,821 papers were collected with the keyword 'Drug Repositioning'using the web scraping technique. After data preprocessing, frequency analysis, LDA-based topic modeling, random forest classification analysis, and prediction performance evaluation were performed on 4,419 papers. Associated words were analyzed based on the Word2vec model, and after reducing the PCA dimension, K-Means clustered to generate labels, and then the structured organization of the literature was visualized using the t-SNE algorithm. Hierarchical clustering was applied to the LDA results and visualized as a heat map. This study identified the research topics related to drug repositioning, and presented a method to derive and visualize meaningful topics from a large amount of literature using a machine learning algorithm. It is expected that it will help to be used as basic data for establishing research or development strategies in the field of drug repositioning in the future.

• Communications of Mathematical Education
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• v.25 no.1
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• pp.99-118
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• 2011

For this case study of gifted education, two classrooms in two locations, show life in general of the gifted educational system. And for this case study the identity of teachers and the gifted, help to activate the mathematically gifted education for these research questions, which are as followed: Firstly, how is the gifted education classroom life? Secondly, what kind of identity do the teachers and gifted students bring to mathematics, mathematics teaching and mathematics learning? Being selected in the gifted children's education center solves the research problem of characteristic and approach. Backed by the condition and the permission possibility, 2 selected classes and 2 people, which are coming and going. Gifted education classroom life, the identity of teachers and gifted students in mathematics and mathematics teaching and mathematic learning. It will be for 3 months, with various recordings and vocal instruction between teacher and students. Collected observations and interviews will be analyzed over the course of instruction. The results analyzed include, social participation, structure, and the formation of the gifted education classroom life. The organization of classes were analyzed by the classes conscious levels to collect and retain data. The classes verification levels depended on the program's first class incentive, teaching and learning levels and understanding of gifted math. A performance assessment will be applied after the final lesson and a consultation with parents and students after the final class. The six kinds of social participation structure come out of the type of the most important roles in gifted education accounts, for these types of group discussions and interactions, students must have an interaction or individual activity that students can use, such as a work product through the real materials, which release teachers and other students for that type of questions to evaluate. In order for the development of meaningful mathematical concepts to formulate, mathematical principles require problem solving among all students, which will appear in the resolution or it will be impossible to map the meaning of the instruction from which it was formed. These results show the analysis of the mathematics, mathematics teaching, mathematics learning and about the identity of the teachers and gifted. Gifted education teachers are defined by gifted math, which is more difficult and requires more differentiated learning, suitable for gifted students. Gifted was defined when higher level math was created and challenged students to deeper thinking. Gifted students think that gifted math is creative learning and they are forward or passive to one-way according to the education atmosphere.