• Journal of Nutrition and Health
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• v.52 no.3
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• pp.285-296
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• 2019

Purpose: This study was conducted to identify the factors affecting vegetable preferences of children based on the social cognitive theory to reduce imbalances in vegetable consumption. Methods: The survey investigated 177 elementary school students in Yangsan, Gyeongsangnam-do, in June of 2018. The subjects consisted of 44 fifth graders (27.7%) and 128 (72.3%) sixth graders. Results: Among personal factors of the Social Cognitive Theory, positive outcome expectation and self-efficacy of the vegetable preference group were significantly higher than those of the non-preference group. Negative barrier scores of the non-preference group were significantly higher than those of the preference group, and the biggest barrier was that vegetables were tasteless. Among behavioral factors, the nutritional knowledge of vegetables was high, but the degree of practice was low. Practice score of the vegetable preference group was significantly higher than that of the non-preference group. Among environmental factors, the vegetable preference group was more likely to accept advice from people around them than the non-preference group and the most influential people were doctors and parents. In the vegetable intake environment, children in the vegetable preference group had high accessibility to vegetables. Correlation analysis and regression analysis of the social cognitive factors and vegetable preferences revealed all factors except nutritional knowledge showed significant correlation with vegetable preference. And surrounding people (p < 0.01), practice (p < 0.01), and self-efficacy (p < 0.05) had positive effects on vegetable preference. Conclusion: These results suggest that providing the health benefits from eating vegetables and educating children for improving their self-confidence are necessary for increasing the preference for vegetables and their intake by children.

• Korean Journal of Child Education & Care
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• v.18 no.4
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• pp.39-50
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• 2018

Objective: Social attention is paid to the issues concerning child care teachers' work multisibility and ambiguous legal status. Child care teachers are employees based on the "Labor Standards Act" and the "Child Care Act". They also play the role of kindergarten teachers based on the "Childhood Education Act" because of the Nuri curriculum. Based on the main tasks of the child care teachers who protect and nurture infants and toddlers, the Nuri curriculum education for infants is conducted. However, the duties and rights of child care teachers are disproportionate because there are many areas where teachers' professional roles do not suit their legal rights. Methods: The purpose of this study is to investigate how teachers perceive their own rights through field experience using qualitative method based on interpretative epistemology. Participants were 61 child care teachers working in the metropolitan area and used protocol description and focus group interview (FGI) for data collection. The collected data were derived as a central theme according to the data analysis method proposed by Creswell (2013). Results: Participants in the study described the 'Right and autonomy of education as a professional occupation', 'Right to request for improvement on working conditions, guarantee of living and to request for welfare system' and 'Right to guarantee of a teacher's status and adjustment of grievance.' They pointed out poor working conditions and welfare benefits at daycare centers, and emphasized that education and autonomy are necessary conditions to be strengthened for quality child care activities. On the other hand, they did not realize that 'Right to guarantee of a teacher's status and adjustment of grievance' was their right. And they have endured the infringement of this right. Conclusion/Implications: This study reveals the gap between teachers' responsibilities and rights, indicating the urgency of institutional arrangements. It is discussed that the social expectation for strengthening personality and professionalism as an infant and child specialist is increased and a practical alternative for the improvement of the right of teachers working in the child care field is needed considering the change of values about work.

• 대한공업교육학회지
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• v.44 no.1
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• pp.23-51
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• 2019

The purpose of this study was to analysis school dropout of specialized vocational high school students using phenomenological research method. The interview for the research was carried out with 10 adolescents who dropped out specialized vocational high school from December 8 to 23, 2018. According to the result of the research, 31 themes were extracted from interviews with 10 research participants. And 10 theme clusters were categorized from these. And these clusters were divided into 3 domains : 'before school dropout', 'causes & process of school dropout, feeling about school dropout', 'after school dropout' Based on the finding of the study, major conclusions of this study were as follow: First, adolescents who dropped out specialized vocational high school suffered from hard school life, disappointing lead from teachers, stereotypical lesson. And they committed misdeeds, and had psychological difficulties. Some of them kept up the good relationship with their friends, teachers, parents, some of them did not. Some of them kept up the good relationship with their friends, teachers and parents, while some of them did not. Second, they chose dropout due to various different causes. The procedures of school dropout proceeded with comparative ease. The effect of dropout prevention program is very limited. The feeling they felt at the time of school dropout varied individually. Some adolescents who dropped out specialized vocational high school were satisfied while others were stressed out, regretting their decision. Third, they lived diligently working part-time jobs or preparing General Equivalency Diploma (GED) test after dropout. They experienced positive changes in their daily lives after dropout. But sometimes they experienced various difficulties and negative changes. Most of them had their goals, and they were preparing for them. Their expectation was low that their life will succeed if they returned to school. They wanted people to understand their decision about dropout. And multiple institutions are supporting adolescents who dropped out specialized vocational high school. They need practical support : Various information, activity for career experience, counseling etc.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.51-66
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• 2018

As AI (Artificial Intelligence) technologies have been swiftly evolved, a lot of products and services are under development in various fields for better users' experience. On this technology advance, negative effects of AI technologies also have been discussed actively while there exists positive expectation on them at the same time. For instance, many social issues such as trolley dilemma and system security issues are being debated, whereas autonomous vehicles based on artificial intelligence have had attention in terms of stability increase. Therefore, it needs to check and analyse major social issues on artificial intelligence for their development and societal acceptance. In this paper, multi-categorical sentiment analysis is conducted over online public opinion on artificial intelligence after identifying the trending topics related to artificial intelligence for two years from January 2016 to December 2017, which include the event, match between Lee Sedol and AlphaGo. Using the largest web portal in South Korea, online news, news headlines and news comments were crawled. Considering the importance of trending topics, online public opinion was analysed into seven multiple sentimental categories comprised of anger, dislike, fear, happiness, neutrality, sadness, and surprise by topics, not only two simple positive or negative sentiment. As a result, it was found that the top sentiment is "happiness" in most events and yet sentiments on each keyword are different. In addition, when the research period was divided into four periods, the first half of 2016, the second half of the year, the first half of 2017, and the second half of the year, it is confirmed that the sentiment of 'anger' decreases as goes by time. Based on the results of this analysis, it is possible to grasp various topics and trends currently discussed on artificial intelligence, and it can be used to prepare countermeasures. We hope that we can improve to measure public opinion more precisely in the future by integrating empathy level of news comments.

• The Southeast Asian review
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• v.28 no.3
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• pp.213-261
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• 2018

On May 9, 2018, regime change took place in Malaysia. It was the first regime change that took place in 61 years after independence in 1957. The regime change was an unexpected result not only in Malaysian experts but also in political circles. Moreover, the outcome of the election was more shocking because the opposition party was divided in this general election. The regime change in Malaysia was enough to attract worldwide attention because it meant the collapse of the oldest regime in the modern political system that exists, except North Korea and China. How could this have happened? In particular, how could the regime change, which had not been accomplished despite opposition parties' cooperation for almost 20 years, could be achieved with the divided opposition forces? What political implications does the 2018 general election result have for political change and democratization in Malaysia? How will the Malaysian politics be developed in the aftermath of the regime change? It is worth noting that during the process of finding answers, a series of general elections since the start of reformasi in 1998 tended to be likened to a series of "tsunami" in the Malaysian electoral history. This phenomenon of tsunami means that, even though very few predicted the possibility of regime change among academia, civil society and political circles, the regime change was not sudden. In other words, the regime in 2018 was the result of the desire and expectation of political change through a series of elections of Malaysian voters last 20 years. In this context, this study, in analyzing the results of the election in 2018, shows that the activation of electoral politics triggered by the reform movement in 1998, along with the specific situational factors in 2018, could lead to collapse of the ruling government for the first time since independence.

• The Southeast Asian review
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• v.27 no.1
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• pp.95-129
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• 2017

This study surveys and reviews political change, economic performance, and regional cooperation that were carried out in 2016 by Southeast Asian countries and ASEAN. This paper reports that what has followed the inauguration of new governments in Myanmar, the Philippines, Vietnam, and Laos fails to live up to the expectation and optimism that arose in the aftermath of elections and party congresses that took place in the first half of the year. In other countries such as Malaysia, Thailand, and Cambodia, where authoritarian regimes are faced with strong oppositions, the prospects for democratic change worsened to a substantial degree, as schisms and internal strives complicated the opposition camp as a result of instigation and intervention by the authoritarian leaders and their followers. In stable political systems, both democratic and authoritarian, no significant changes that may entail serious political implications were noticed. In 2016, the national economy of almost each and every country continued its slow but steady recovery that had started in 2014 and grew by 5% on the average. For 2017 onward, however, the earlier optimism that it would grow at least as fast dimmed down as uncertainty about the world economy looms larger due to the unexpected win by Donald Trump as U.S. president and the expected 'hard landing' of the Chinese economy around 2018. ASEAN declared the launch of the ASEAN Economic Community (AEC) only one day before the New Year, but its track record looked already bad and unpromising by the end of 2016. ASEAN leaders were tied up by their domestic politics and affairs too tightly to take time off to work seriously to observe the schedule as laid out in the AEC Blueprint 2025. Korea's relationship with Southeast Asian countries and ASEAN was "as good as it gets" in 2016 as ever but could become subject to tough review in the near future, if the Ministry of Foreign Affairs is found out to have been implicated in the ongoing Choi Sun Sil scandal and if the opposition wins the next presidential election to be held by this year.

• Journal of Popular Narrative
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• v.26 no.1
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• pp.243-277
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• 2020

This paper examines a social and cultural history of horror films through the keyword "technology", focusing on The Spark of Fear: Technology, Society and the Horror Film (2015) written by Brian N. Duchaney. Science fiction film is closely connected with technology in film genres. On the other hand, horror films have been explained in terms of nature/supernatural. In this regard, The Spark of Fear, which accounts for horror film history as (re)actions to the development of technology, is remarkable. Early horror films which were produced under the influence of gothic novels reflected the fear of technology that had been caused by industrial capitalism. For example, in the film Frankenstein (1931), an angry crowd of people lynch the "monster", the creature of technology. This is the action which is aroused by the fear of technology. Furthermore, this mob behavior is suggestive of an uprising of people who have been alienated by industrial capitalism during the Great Depression. In science fiction horror films, which appeared in the post-war boom, the "other" that manifests as aliens is the entity that destroys the value of prosperity during post-war America. While this prosperity is closely related to the life of the middle class in accordance with the suburbanization, the people live conformist lives under the mantle of technologies such as the TV, refrigerator, etc. In the age of the Vietnam War, horror films demonize children, the counter-culture generation against a backdrop of the house that is the place of isolation and confinement. In this place, horror arises from the absolute absence of technology. While media such as videos, internet, and smartphones have reinforced interconnectedness with the outside world since the 1980s, it became another outside influence that we cannot control. "Found-footage" and "torture porn" which were rife in post-9/11 horror films show that the technologies of voyeurism/surveillance and exposure/exhibitionism are near to saturation. In this way, The Spark of Fear provides an opportune insight into the present day in which the expectation and fear of the progress of technology are increasingly becoming inseparable from our daily lives.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.127-146
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• 2022

Recently, as word embedding has shown excellent performance in various tasks of deep learning-based natural language processing, researches on the advancement and application of word, sentence, and document embedding are being actively conducted. Among them, cross-language transfer, which enables semantic exchange between different languages, is growing simultaneously with the development of embedding models. Academia's interests in vector alignment are growing with the expectation that it can be applied to various embedding-based analysis. In particular, vector alignment is expected to be applied to mapping between specialized domains and generalized domains. In other words, it is expected that it will be possible to map the vocabulary of specialized fields such as R&D, medicine, and law into the space of the pre-trained language model learned with huge volume of general-purpose documents, or provide a clue for mapping vocabulary between mutually different specialized fields. However, since linear-based vector alignment which has been mainly studied in academia basically assumes statistical linearity, it tends to simplify the vector space. This essentially assumes that different types of vector spaces are geometrically similar, which yields a limitation that it causes inevitable distortion in the alignment process. To overcome this limitation, we propose a deep learning-based vector alignment methodology that effectively learns the nonlinearity of data. The proposed methodology consists of sequential learning of a skip-connected autoencoder and a regression model to align the specialized word embedding expressed in each space to the general embedding space. Finally, through the inference of the two trained models, the specialized vocabulary can be aligned in the general space. To verify the performance of the proposed methodology, an experiment was performed on a total of 77,578 documents in the field of 'health care' among national R&D tasks performed from 2011 to 2020. As a result, it was confirmed that the proposed methodology showed superior performance in terms of cosine similarity compared to the existing linear vector alignment.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.47-72
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• 2022

This study aims to understand the trends of subjects related to real estate policies and public's emotional opinion on the policies. Two keywords related to real estate policies such as "real estate policy" and "real estate measure" were used to collect tweets created from February 25, 2008 to August 31, 2021. A total of 91,740 tweets were collected and we applied sentiment analysis and dynamic topic modeling to the final preprocessed and categorized data of 18,925 tweets. Sentiment analysis and dynamic topic model analysis were conducted for a total of 18,925 posts after preprocessing data and categorizing them into supply, real estate tax, interest rate, and population variance. Keywords of each category are as follows: the supply categories (rental housing, greenbelt, newlyweds, homeless, supply, reconstruction, sale), real estate tax categories (comprehensive real estate tax, acquisition tax, holding tax, multiple homeowners, speculation), interest rate categories (interest rate), and population variance categories (Sejong, new city). The results of the sentiment analysis showed that one person posted on average one or two positive tweets whereas in the case of negative and neutral tweets, one person posted two or three. In addition, we found that part of people have both positive as well as negative and neutral opinions towards real estate policies. As the results of dynamic topic modeling analysis, negative reactions to real estate speculative forces and unearned income were identified as major negative topics and as for positive topics, expectation on increasing supply of housing and benefits for homeless people who purchase houses were identified. Unlike previous studies, which focused on changes and evaluations of specific real estate policies, this study has academic significance in that it collected posts from Twitter, one of the social media platforms, used emotional analysis, dynamic topic modeling analysis, and identified potential topics and trends of real estate policy over time. The results of the study can help create new policies that take public opinion on real estate policies into consideration.

• Journal of Korean Home Economics Education Association
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• v.34 no.1
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• pp.35-57
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• 2022

This study developed an 'Eco-friendly Clothing Life Cycle' class applying gamification. And the effect of and learners' satisfaction on the class were examined after implementation. The developed class was applied to 40 sophomore students from "A" high school in Gyeonggi-do from February 3, 2022, to February 10, 2022, in a total of 4 sessions. The class was conducted in the stages of production-distribution-consumption-disposal, and was conducted in a way that a mission is solved after learning in Gather Town. It is designed so that learners continuously repeat learning until they accomplish the mission. The learners completed pre-class and post-class questionnaires. And a focus group interview was conducted with a randomly selected group of three learners. According to the pre-/post-class test comparison, the gamification class on the theme of "Eco-friendly Clothing Life Cycle" was found not to have a significant effect on learners' immersion or self-directed learning attitudes. However, in the case of the learners with high levels of non-immersion tendency, the level of immersion in the class increased, and the satisfaction level was positively associated with the level of immersion and self-directed attitude. Learners expressed 'concern' and 'expectation' about the gamification class, and said that although the developed class was using a 'new teaching method', 'appropriate use' was necessary. And learners were evaluated this class as a 'student-centered class' and acknowledged that it allowed 'self-directed learning'. The teacher who implemented the class said that this class was more effective in attracting students' expectations and interests compared to the conventional classes, and that the class in the meta-verse environment was perceived as a new type of class in the non-face-to-face era. The teacher also mentioned that when applied to the actual educational field, a detailed design is needed that allows the learners to proceed smoothly, and the role of the teacher in the class was more important. And the teacher also mentioned that the class should be properly designed so that the expectations given by the 'game' do not obscure the essence of the class.