• Smart Media Journal
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• v.10 no.2
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• pp.38-47
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• 2021

This study analyzed media reports on the Address of Things, which are being introduced through the amendment of related law and pilot projects. The titles and its texts in the media's reports were collected by searching for 'Address of Things' on the Naver News Platform. Then, we analyzed the corpus using by topic modeling and network analysis. As a result, there were four topics: 'Promotion of the address of things system', Proof of assigning Address of Things', 'Improvement of usage of the Roadname Address Systems', and 'Education and public relation for the address activation'. It was confirmed that the topic 'Proof of assigning Address of Things' was the main agenda. We presented some implication by comparing the results with the 「3rd Basic Plan for Address Policy (2018-2022)」 of the Ministry of Public Administration and Security.

• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.35-45
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• 2021

The purpose of this study is to understand the characteristics and trends of active senior. As the baby boom generation become the age of the elderly, they are more active than senior. These seniors are called active seniors, a new consumer group. Many countries and companies are also interested in providing relevant policies and services, but there is lack of researches on active senior trends. This study collects the 8,740 posts related to active seniors on social media from January 1st, 2018 to June 31st, 2021, and conducted keyword frequency analysis, TF-IDF analysis and LDA topic modeling. Through LDA topic modeling, topics are classified into 10 categories: lifestyle, benefits, shopping, government business, government education, health, society and economy, care industry, silver housing, leisure. The results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of active senior.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.3
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• pp.247-264
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• 2021

This study aims to create a deep learning-based classification model to classify suicide tendency by suicide corpus constructed for the present study. Also, to analyze suicide factors, the study classified suicide tendency corpus into detailed topics by using topic modeling, an analysis technique that automatically extracts topics. For this purpose, 2,011 documents of the suicide-related corpus collected from social media naver knowledge iN were directly annotated into suicide-tendency documents or non-suicide-tendency documents based on suicide prevention education manual issued by the Central Suicide Prevention Center, and we also conducted the deep learning model(LSTM, BERT, ELECTRA) performance evaluation based on the classification model, using annotated corpus data. In addition, one of the topic modeling techniques, LDA identified suicide factors by classifying thematic literature, and co-word analysis and visualization were conducted to analyze the factors in-depth.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.43-51
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• 2022

The purpose of this study is to provide basic information necessary for the establishment of mobile service marketing strategies, educational service development, and engineering education for Generation Z by analyzing the utilitization of various applications by Gen Z. To this end, 177 essays on mobile service usage experience were collected, major topics were analyzed using topic modeling, and these were visualized through word cloud analysis. As a result of the study, the main topics were related to 'transportation' such as movement and public transportation, 'personal management' such as schedule management, financial management, food management, 'transaction' such as checkout, meeting, purchase, 'leisure' such as eating out, travel, study, culture. Additionally, words such as time, thought, people, life, bus, information, confirmation, payment, KakaoTalk, and so on were found to have a high of frequency of use. Also, there was found to be a difference between topics by college. This study is meaningful in that it collected essays, which are unstructured data, and analyzed them through topic modeling.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.367-375
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• 2021

This study aimed to identify the knowledge structure of researches on 'untact' and derived implications for directions for the studies using text mining. The study included network analysis and topic modelling of keywords and abstracts from 171 thesis published until October 2020. Centrality analysis showed that 'untact' studies had been focused on service, usage, consumption, technology and online. From the topic modelling, 6 topics such as 'COVID-19 and socio-technological change', 'needs and utilization of education contents', 'technology and service for user convenience', 'product marketing and sales', 'service design of the company', 'influence factors of usage and consumption' were extracted. Keywords that connect each topic were technology, service, usage, consumption, needs and factor. Exploratory analysis of 'untact' researches using text mining provides useful results for development of 'untact' studies.

• Journal of Korean Academy of Nursing
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• v.53 no.6
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• pp.635-651
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• 2023

Purpose: This study aimed to identify the main keyword, network structure, and main topics of the national petition related to "nursing" in South Korea. Methods: Data were gathered from petitions related to the national petition in Korea Blue House related to the topic "nursing" or "nurse" from August 17, 2017, to May 9, 2022. A total of 5,154 petitions were searched, and 995 were selected for the final analysis. Text network analysis and topic modeling were analyzed using the Netminer 4.5.0 program. Results: Regarding network characteristics, a density of 0.03, an average degree of 144.483, and an average distance of 1.943 were found. Compared to results of degree centrality and betweenness centrality, keywords such as "work environment," "nursing university," "license," and "education" appeared typically in the eigenvector centrality analysis. Topic modeling derived four topics: (1) "Improving the working environment and dealing with nursing professionals," (2) "requesting investigation and punishment related to medical accidents," (3) "requiring clear role regulation and legislation of medical and nonmedical professions," and (4) "demanding improvement of healthcare-related systems and services." Conclusion: This is the first study to analyze Korea's national petitions in the field of nursing. This study's results confirmed both the internal needs and external demands for nurses in South Korea. Policies and laws that reflect these results should be developed.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.217-225
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• 2024

This study explores the use of animation as a tool for both English learning and recognizing social problems. In addition, this study examines how topic-centered learning paired with animation affects the acquisition of English vocabulary and expressions specific to discussing social problems. To achieve these goals, the study used two animations, Zootopia and Luca, and focused specifically on discrimination and prejudice. Conversation analysis, discussion activities, and learning of vocabulary and expressions in context were conducted. To evaluate the research, pre-tests, post-tests, a questionnaire, and thinking notes containing learners' opinions were used. Pre- and post-tests were administered to determine the extent of improvement in students' vocabulary and expression learning, and they reveal a statistically significant difference between the two tests. A questionnaire and thinking notes were analyzed in order to understand learners' responses and attitudes toward the class, and the results demonstrate an overall satisfaction with this class using animation topics (81.8%). The data highlights three reasons for this satisfaction: developing an in-depth understanding of movies, enhanced awareness of social problems, and increased engagement through the use of animations. These findings highlight the importance of conducting an in-depth analysis of the targeted topic when using animation.

• Journal of Engineering Education Research
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• v.24 no.4
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• pp.61-74
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• 2021

The purpose of this study is to provide a direction for domestic engineering education research by analyzing the research trends of JEE(Journal of Engineering Education). The results of analyzing research trends regarding research topics, research objects and research methods are as follows. First, by research topic, 'Diffusion of Educational Innovation' was found to have the highest proportion with 52 articles(21%). Second, by research objects, 'university students' showed the highest proportion with 148 articles(53.6%). Third, by research method (large category), 'quantitative research' had the highest proportion with 132 articles(53.2%). By research method (medium category), 'survey research' had the highest proportion with 129 articles(33.5%). Based on the results of this study, future engineering education research should be conducted to contribute to holistic development through diversification of research topics, methods, and objects.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.83-91
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• 2013

The Ministry of Education issues STEAM education as a part of convergence. Most important is "How to achieve goals of STEAM education". The goal of this paper searches possibilities that robot is a good tool for STEAM education. The main topic is photosynthesis unit as circumstantiation and "Deep sea exploration robot", is creative activity, in elementary science subject. Students complete 13 basic course about robot, then accomplish subject-oriented 10 robot application course about above topic. Basic course contains math and science elements that students learn in regular curriculum. Application course is organized following steps, photosynthesis with oxygen sensors, brainstorming, idea derivation, robot design, robot construction, demo and presentation and so on. These courses have elements of STEAM. Finally teacher has face-to-face meeting with parents and students. Most have positive aspects about this process in terms of creativity, study attitude, and school life. Specially low-ranking students win a prize in robot competition. So they can gain confidence and accomplishment. This paper don't show statistic chart, but we surely knew that robot education for STEAM education seriously affect creativity huminity and job search.

• The Journal of Industrial Distribution & Business
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• v.4 no.2
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• pp.5-11
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• 2013

Purpose - Considering the importance of education as the base for countries' development, the results of various studies show that accounting education is not reconciled to business environment changes with huge defects in methods of education and knowledge transition. Research design, data, and methodology - By reviewing current research and considering the effect of 12 factors, the study traces and detects why accounting education is far from the business environment from viewpoints of academic and practitioner bodies. After testing for validity and reliability, 225 questionnaires were administrated among representatives of three groups. Results - Respondents were not satisfied with lack of specification of various scientific areas of accounting, that less attention is paid to accounting software education, and about the rarity of workshops for performing accounting skills and discordance between accounting education and standard rules. Conclusion - These findings agreed with Albrecht and Sack (2001) who stated that the current style of accounting education is very cluttered and incomplete and needs major adjustments: subjects of accounting education must be based on the grounds of work needs not on willing academics.