Journal of the Korean Society of Earth Science Education
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v.1
no.1
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pp.85-98
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2008
Though the investigation of the suggested references proverbs related weather were collected and considered the probability of the usage on science instruction. The results are as follows. 130 proverbs related to weather were collected through the investigation of the suggested references. Most of weather proverbs are based on the states of sky, clouds, wind, precipitation, actions of animal, states of plants and the condition of people in daily life. they were classified according to weather types, natural phenomena and seasons. According to the results of analysing the students' recognition and interests on weather proverbs, most of students heard weather proverbs in their elementary school years firstly through their parents, books, and teachers. However they have only heard a few. Also many students also tend to think weather proverbs have a scientific base because weather proverbs have been told by many people through the ancient time and correspond to their personal experiences. Students responded that weather proverbs are useful for science learning on weather and can teach heritage and wisdom. After reading the suggested weather proverbs, their interests on weather proverbs were increased more than before reading. This is one of reasons why weather proverbs can be introduced to science classes. Weather proverbs were considered related to science curriculum. The third grade has a Unit "Fine days and Cloudy days", the fifth grade, "Unit of Weather Change", the Sixth grade, "Unit of Weather Forecast" , the Ninth grade, "Unit of Water cycle and Weather Change" and the tenth grade has "Unit of Earth". So the author consider that weather proverb materials can be used so effectively to bring about interest and motive in science learning.
This research investigated the relationships between families' environment, familism, and the agreement on the parent-child relations as depicted in Korean proverbs to find the change of the traditional values about parent-child relationships. The sample was comprised of 474 Korean married people. They were asked to rate the degree to which they agreed on the underlying value of each proverb. The data were collected through a mailed questionnaire and interview. The findings indicated that the responses of subjects varied as a function of families' environment and familism variables. More specifically, while the subjects living with extended family were more likely to rate the value toward children and daughter high, the subjects from nuclear family were more likely to express the affection toward children, to prefer boys, and to express child-rearing stress. In addition, the people who had lived with grandparents together tended to agree with the value of filial piety. The respondents from conservative surroundings were more likely to express the affection toward children and to prefer boys. The subjects from a rural community tended to prefer boys and to place high value on the authoritative control. The people who supported familism tended to express the affection toward children and child-rearing stress, to prefer boys, and to agree with the filial piety and authoritative control. But they tended to rate low on the value of children and daughter.
This study aimed to express the experiences of the parents who lost their children by suicides in their own words from their own perspectives by van Manen(2000)'s hermeneutic phenomenological approach. The analysis of the words expressed by the research participants led to the following five fundamental themes. These are 'broken heart, sinner's grief, land of exile and time stood still, pains to be comforted, and days ahead with half-stitched wounds'. Several distinctions are found due to cultural differences from Korean parents. First, whereas the Western parents see the cause of their child's suicide as his/her independent issue, the Korean parents blame themselves entirely. This may have stemmed from the overly inter-dependency between the parents and the child. Second, whereas the Western perspective views the suicide as a type of illness from the individual's depression. The Korean perspective views the suicide as a shame that disgraces the parents or the family. This negative social perspective intensifies the self-blame and social isolation. Third, the Westerners recognize the prevention and responsibility of suicide resting with the society and government, but the Korean society recognize suicide as personal or family matter. Based on the finding above, I proposed a number of practical measures to aid the surviving parents who belong to a group with extremely high suicidal rates.
Journal of Physiology & Pathology in Korean Medicine
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v.34
no.6
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pp.279-284
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2020
The theory of "eccentric diseases are generally due to phlegm (怪病多屬痰)" means that phlegm is a major cause for intractable diseases including cerebrovascular accident, depression, insanity, and shock from strange things or evil sprint. It has been a key foundation for the diagnosis and treatment of phlegm in traditional Korean medicine. However, the origin of the theory is not clear and controversial. In this study, we critically reviewed the origin and developing process of the theory in the viewpoints of philology and pathology in Korean medicine. Wang Yin-Jun (王隱 君) did not claim that eccentric diseases are generally due to phlegm in Taidingyangshengzhu-lun (泰定養生主論). The miscitation by following medical literature caused the misunderstanding in the meaning of Taidingyangshengzhu-lun, that phlegm can cause variable symptoms and signs. In the Ming dynasty, some poor medical doctors had tended to diagnose any difficult case as phlegm syndrome and to use Kuntan-huan (滾痰丸) as a standard herbal formula for treating phlegm syndrome. However, the tendency to categorize delicate cases easily to phlegm syndrome is not desirable. Besides, the tendency to use Kuntan-huan as a basic formula for the phlegm syndrome might cause diverse and severe adverse effects. Thus, we cannot accept the theory of eccentric diseases is generally due to phlegm without a doubt. In conclusion, this theory might be a valuable aphorism in terms of considering the possibility of the secondary pathologic factors including phlegm and blood stasis which should be considered first in case of intractable diseases.
The Journal of the Convergence on Culture Technology
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v.8
no.1
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pp.403-408
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2022
This study analyzed the translation strategies of four Chinese translations of 『Who ate all the Sing a?』. As is well known, Park Wan-seo's works contain many psychological descriptions, abstract vocabulary, idioms, proverbs, dialects, etc., so when translating into Chinese, various translation strategies such as translation, interpretation, and creative translation are required. Although all four types studied in this paper are somewhat different depending on the translator, all translation strategies were used in a comprehensive way. As a result of the study, all four translation strategies used a strategy of direct translation of Chinese characters when translating geographical namesand names of people. The interpretational translation strategy was used for the translation of vocabulary that requires historical, social, cultural, and geography background interpretation. was utilized. The creative translation strategy was used when translating overlapping issues, political and historically sensitive issues, and issues related to Korean pronunciation and grammar. Based on the results of this study, it is expected that translation strategy research on various Chinese translations of Korean modern literature as well as various Chinese translations of Park Wan-seo will be expanded.
This study focuses on the fact that students and teachers commonly have difficulty in 'selecting the topic' in many activities including student-led research that is conducted from topic selection to the drawing of conclusion. The purpose of this study is to develop a manual for science teaching research. The instructional manuals of 4 stages were developed based on practical knowledge that can be implemented in the actual class through previous research and literature. Each stage is composed of , , , and . In the third stage, students are expected to find scientific questions and develop them into research topics through detailed class research on newspaper articles, scientific magazines, traditional knowledge, proverbs, daily life, and textbook experiments. In the experimental group, the final research topic was selected through a variety of sources such as textbook experiments, proverbs, YouTube images, newspaper articles, individual WHY NOTEs, and understood the conditions of the scientific research topic and expressed the variables in the research title. However, in the control group, some students did not consider the research scope of the selected research subjects to be specific or not to be able to study at their level. As a result of giving the students as much autonomy as possible, many groups did not fully understand the previous research and submitted it. Based on the results of this study, it can be concluded that development and use of a 'topic selection stage' centered practice manual for general high school teachers would not only improve the students' abilities to discover solutions to scientific questions, but it will also help shift their attitudes towards science in a positive direction.
Journal of The Korean Association For Science Education
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v.27
no.1
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pp.37-49
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2007
The purpose of this study was to classify the logical forms of scientific explanations provided by teachers in secondary earth science classrooms, to examine the characteristics of the scientific explanations in different forms, and to identify the roles of the teacher and students in discursive practices for scientific explanations. Data came from the earth science teachers who participated in overseas teacher in-service programs in the years 2003 and 2004. A total of 18 video-taped lessons and their verbatim transcriptions were analyzed. The result showed that deductive-nomological explanations occurred most frequently in earth science classrooms and that the deductive-nomological model was well-suited to those problems for which there existed firmly established scientific laws or principles to construct scientific explanations. However, abductive explanations were presented when the classes dealt with retrodictive tasks of earth science. The statistical-probabilistic and statistical-relevance models were also employed in explaining weather proverbs and unusual changes of weather, respectively. Most of the scientific explanations were completed through the teachers' monologic utterances, and students assumed passive roles in discursive practices for developing scientific explanations. Implications for science lessons and science education research were discussed.
Jeju-do was designated as the 'first horse industry special zone' in 2014, followed by additional designation of horse industry special zones in Icheon, Yongin of Gyeonggi-do and Gyeongsangbuk-do in 2015. As a result, horses have become no more synonymous with Jeju-do. Jeju-do may see its competitive edge becoming blunt, compared to other local governments, due to its environmental characteristics and accessibility. The Korean proverb, "Send people to Seoul and horses to Jeju-do", has become an old saying that does not match reality. However, Jeju-do, designated as the first horse industry special zone, is expected to play a leading role in cultivation of domestic horse industry and faces a challenge of creating exemplary cases of success in transforming horse industry into the senary (6th) industry. In addition, KRW 114.2 billion is planned to be invested into 35 projects covering 9 sectors, including supply of elite domestic racing horses, expansion of demand basis for horse-riding, cultivation of horse meat industry, etc., by 2017 as envisioned by the horse industry special zone promotion plan. Despite expansion of facilities and demand base for horse-riding, those at the sites point out that government support at policy level has not come home to their hearts and criticism has been mounting that project efficiency remains low. Factors hindering the growth of horse industry, which have come to the fore, include inadequate supply of horse-riding facilities, limitation to expansion of demand for horse-riding, etc., due to excessive regulation. Advancement of horse industry requires wide-ranging deregulation on investment related to horse industry, including horse breeding and horse-riding facility installation, etc. Regulation which is deemed to be the biggest stumbling block to advancement of horse industry is related to the regulation requiring formation of farmland at horse-riding facilities in farming and fishery villages. Along with improvement in such regulations, horse-riding facilities without license should be legalized to promote qualitative growth of horse-riding industry. Moreover, efforts should be made to develop and deploy instructors with horse-riding license in order to develop horse-riding into a full-fledged leisure beyond simple experience auxiliary to tourism, thus ensuring that people can enjoy leisure style horse-riding regularly in safe and healthy manners. It would be necessary to add fresh momentum into efforts to turn Jeju-do into the hub of well-being leisure horse-riding by pooling our wisdom.
Along with the rapid advance in internet technologies, ubiquitous mobile device usage has enabled consumers to access real-time information and increased interaction with others through various social media. Consumers can now get information more easily when making purchase decisions, and these changes are affecting the brand landscape. In a digitally connected world, brand image is not communicated to the consumers one-sidedly. Rather, with consumers' growing influence, it is a result of co-creation where consumers have an active role in building brand image. This explains a reality where people no longer purchase products just because they know the brand or because it is a famous brand. However, there has been little discussion on the matter, and many practitioners still rely on the traditional measures of brand indicators. The goal of this research is to present the limitations of traditional definition and measurement of brand and brand image, and propose a more direct and adequate measure that reflects the nature of a connected world. Inspired by the proverb, "A man is known by the company he keeps," the proposed measurement offers insight to the position of brand (or brand image) through co-purchased product networks. This paper suggests a framework of network analysis that clusters brands of cosmetics by the frequency of other products purchased together. This is done by analyzing product networks of a brand extracted from actual purchase data on Amazon.com. This is a more direct approach, compared to past measures where consumers' intention or cognitive aspects are examined through survey. The practical implication is that our research attempts to close the gap between brand indicators and actual purchase behavior. From a theoretical standpoint, this paper extends the traditional conceptualization of brand image to a network perspective that reflects the nature of a digitally connected society.
As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.
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