• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.137-140
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• 2023

자연어처리는 인공지능 발전과 함께 주목받는 분야로 컴퓨터가 인간의 언어를 이해하게 하는 기술이다. 그러나 많은 인공지능 모델은 블랙박스처럼 동작하여 그 원리를 해석하거나 이해하기 힘들다는 문제점이 있다. 이 문제를 해결하기 위해 설명 가능한 인공지능의 중요성이 강조되고 있으며, 활발히 연구되고 있다. 연구 초기에는 모델의 예측에 큰 영향을 끼치는 단어나 절을 근거로 추출했지만 문제 해결을 위한 단서 수준에 그쳤으며, 이후 문장 단위의 근거로 확장된 연구가 수행되었다. 하지만 문서 내에 서로 떨어져 있는 근거 문장 사이에 누락된 문맥 정보로 인하여 이해에 어려움을 줄 수 있다. 따라서 본 논문에서는 사람에게 보다 이해하기 쉬운 근거를 제공하기 위한 생성형 기반의 근거 추론 연구를 수행하고자 한다. 높은 수준의 자연어 이해 능력이 필요한 문서 요약 데이터셋을 활용하여 근거를 생성하고자 하며, 실험을 통해 일부 기계독해 데이터 샘플에서 예측에 대한 적절한 근거를 제공하는 것을 확인했다.

• Korean Journal of Culture and Social Issue
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• v.25 no.3
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• pp.203-229
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• 2019

The purpose of this study was to identify the factors that constitute masculine norms of masculine in Korean society. The definition of masculinity was to conform to the male-dominated standard formed socially and culturally. The results of in-depth interviews with 20 male participants were used for a concept mapping analysis to explore the configural representations of Korean masculine norms. After extracting the key sentences related to masculine norms, the participants sorted the 55 key sentences based on similarities and assessed the importance, which was then analyzed with multidimensional scaling method and cluster analysis. The result showed two dimensions, one representing social-personal domain and the other implying dominance-support domain as well as six clusters of caregiver, leadership, emotion suppression, job ability and organizational social adaptation, Expects the masculine abilities, power and control. Finally, the implications of this study, limitations, and the suggestions for future research were discussed.

• Education of Primary School Mathematics
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• v.15 no.2
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• pp.107-134
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• 2012

The purpose of this study is to investigate the effectiveness of two teaching methods of word problems, one based on mathematical modeling learning(ML) and the other on traditional learning(TL). Additionally, the influence of mathematical modeling learning in word problem solving behavior, application ability of real world experiences in word problem solving and the beliefs of word problem solving will be examined. The results of this study were as follows: First, as to word problem solving behavior, there was a significant difference between the two groups. This mean that the ML was effective for word problem solving behavior. Second, all of the students in the ML group and the TL group had a strong tendency to exclude real world knowledge and sense-making when solving word problems during the pre-test. but A significant difference appeared between the two groups during post-test. classroom culture improvement efforts. Third, mathematical modeling learning(ML) was effective for improvement of traditional beliefs about word problems. Fourth, mathematical modeling learning(ML) exerted more influence on mathematically strong and average students and a positive effect to mathematically weak students. High and average-level students tended to benefit from mathematical modeling learning(ML) more than their low-level peers. This difference was caused by less involvement from low-level students in group assignments and whole-class discussions. While using the mathematical modeling learning method, elementary students were able to build various models about problem situations, justify, and elaborate models by discussions and comparisons from each other. This proves that elementary students could participate in mathematical modeling activities via word problems, it results form the use of more authentic tasks, small group activities and whole-class discussions, exclusion of teacher's direct intervention, and classroom culture improvement efforts. The conclusions drawn from the results obtained in this study are as follows: First, mathematical modeling learning(ML) can become an effective method, guiding word problem solving behavior from the direct translation approach(DTA) based on numbers and key words without understanding about problem situations to the meaningful based approach(MBA) building rich models for problem situations. Second, mathematical modeling learning(ML) will contribute attitudes considering real world situations in solving word problems. Mathematical modeling activities for word problems can help elementary students to understand relations between word problems and the real world. It will be also help them to develop the ability to look at the real world mathematically. Third, mathematical modeling learning(ML) will contribute to the development of positive beliefs for mathematics and word problem solving. Word problem teaching focused on just mathematical operations can't develop proper beliefs for mathematics and word problem solving. Mathematical modeling learning(ML) for word problems provide elementary students the opportunity to understand the real world mathematically, and it increases students' modeling abilities. Futhermore, it is a very useful method of reforming the current problems of word problem teaching and learning. Therefore, word problems in school mathematics should be replaced by more authentic ones and modeling activities should be introduced early in elementary school eduction, which would help change the perceptions about word problem teaching.

• Journal of Korean society of Dental Hygiene
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• v.16 no.6
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• pp.879-891
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• 2016

Objectives: This study was conducted to evaluate the oral health literacy of foreign students in Korea regarding their utilization of dental clinic services and oral care products. Methods: This study measured the oral health literacy through a self-administered questionnaire that were distributed among 145 foreign students in Seoul and 153 Korean students in Wonju, Gangwon province. The questionnaire is used to assess the oral health literacy with a total of 92 questions including 30 questions on linguistic oral health literacy, and 40 questions on functional oral health literacy (sentence translation ability 27 questions, document decoding ability 13 questions), and 22 questions on the general characteristics. The collected data were analyzed by frequency test, ${\chi}^2$, independent t-test, and ANOVA with p-value of <0.05 was considered statistically significant. Results: The linguistic oral health literacy awareness score was doubly lower in foreign students $20.5{\pm}22.4%$ than Korean students $53.9{\pm}18.4%$ (p<0.05), three words were not statistically significant with less than 10% of all the foreign and Korean students. Correct answer rate of sentence translation ability was statistically significant in all questions by foreign students $26.7{\pm}27.1%$ and Korean students $99.0{\pm}2.3%$ (p<0.05). Correct answer rate of document decoding ability showed a relatively small difference between foreign students and Korean students with $54.7{\pm}33.1%$ and $87.3{\pm}8.7%$, respectively, but it was statistically significant in all questions (p<0.05). Oral health literacy according to residence period and Korean language class level of foreign students were the most correlated among the other variables (p<0.05). Conclusions: Dental terminology was difficult for ordinary people to understand regardless of the Korean language proficiency levels, so it is recommended and needed to express dental clinical terms in simple layman's term or to use illustrations to dental patients. In case of foreign residents in Korea, interpretation services are needed. Additionally, labels and instructions of oral hygiene products retailed in Korea with the consideration for foreigners are required.

• Education of Primary School Mathematics
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• v.25 no.4
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• pp.343-360
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• 2022

In mathematics classes, the verbal explanation may contain diverse mathematical concepts and principles in short sentences. It may also include mathematics symbols and terms that might not be used in everyday life. Therefore, students may need particular listening ability in order to understand and participate in mathematics communication. Unlike general listening, the listening ability for mathematics classes may require student to integrate their mathematical and linguistic knowledge. The aim of this study is to reveal the subdomains of listening ability for mathematics classes in a elementary school. I categorized listening ability for mathematics classes in a elementary school from the literature. The categories of listening ability for mathematics are Interpretive Listening, Evaluative Listening, Hermeneutic Listening, Selective Listening, Pretend Listening, and Ignored Listening. In order to develop a framework for understanding listening ability for mathematics classes, I investigated a hierarchy of 412 South Korean elementary teachers' perception. Through a web-based survey, the teachers were asked to rank order their beliefs about and students' listening ability. Findings show that teachers' perceptions about listening ability for mathematics classes are divergent from current research trends. South Korean elementary teachers perceived Interpretive Listening as the most important listening.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.30-43
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• 2022

In this study, elementary students' science communication competence was investigated based on the grammatical features expressed in their language-use in classroom discourse and science writings. The classes were designed to integrate the evidence-based reasoning framework and traditional learning cycle and were conducted on fifth graders in an elementary school. Eight elementary students' discourse data and writings were analyzed using lexico-grammatical resource analysis, which examined the discourse text's content and logical relations. The results revealed that the student language used in analyzing data, interpreting evidence, or constructing explanations did not precisely conform to the grammatical features in science language use. However, they provided examples of grammatical metaphors by nominalizing observed events in the classroom discourses and those of causal relations in their writings. Thus, elementary students can use science language grammatically from science language-use experiences through listening to a teacher's instructional discourses or recognizing the grammatical structures of science texts in workbooks. The opportunities in which elementary students experience the language-use model in science learning need to be offered to understand the appropriate language use in the epistemic context of evidence-based reasoning and learn literacy skills in science.

• Journal of the Korean earth science society
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• v.25 no.8
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• pp.647-655
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• 2004

PISA (Program for International Student Assessment) 2003, the second cycle of PISA, collected data with respect to students' cross-disciplinary problem solving capabilities. Problem solving is defined as the ability to use cognitive processes to solve real cross-disciplinary problems. For the purpose of PISA 2003 assessment, three problem types were chosen: Decision Making, System Analysis and Design, and Trouble Shooting. For this paper a preliminary analysis on Korean students' responses to the PISA 2003 problem-solving items was conducted. The quantitative analysis mainly focused on the difficulties of the PISA 2003 items, while the quantitative analysis dealt with students' responses to open-ended items, which helped understand Korean students' cognitive style and reasoning processes. According to the item analysis result, Korean students had difficulty in representing their answers with pictures or graphs, and interpreting long and complex text. They also showed low achievement with relatively unfamiliar topics or tasks. The paper concluded with several suggestions on improve the quality of science education.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.448-462
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• 2000

Coordinate constructions in natural language pose a number of difficulties to natural language processing units, due to the increased complexity of syntactic analysis, the syntactic ambiguity of the involved lexical items, and the apparent deletion of predicates in various places. In this paper, we address the syntactic characteristics of the coordinate constructions in Korean from the viewpoint of constructing a competence grammar, and present a version of combinatory categorial grammar for the analysis of coordinate constructions in Korean. We also show how to utilize a unified lexicon in the proposed grammar formalism in deriving the sentential semantics and associated information structures as well, in order to capture the discourse functions of coordinate constructions in Korean. The presented analysis conforms to the common wisdom that coordinate constructions are utilized in language not simply to reduce multiple sentences to a single sentence, but also to convey the information of contrast. Finally, we provide an analysis of sample corpora for the frequency of coordinate constructions in Korean and discuss some problematic cases.

• Journal of The Korean Association For Science Education
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• v.22 no.1
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• pp.40-53
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• 2002

This study was based on the analysis of earth and environmental science items in PISA 2000 data. The purpose of this study was to identify i) gender differences in scientific literacy, ii) item characteristics that favored either female or male, and iii) misconceptions that 15-years-old Korean students have in the field of earth and environmental science. The results revealed significant gender differences. Overall, male students demonstrated higher level of achievement than female students. On the other hand, amongst high ability students, female students outperformed male students in open-constructed items. Female students tended to score higher on items that required long answers or items related to scientific processes, whereas male students outperformed female students in science knowledge or items that required data interpretation. The study also revealed that a majority of Korean students had misconceptions in fundamental earth and environmental science knowledge, such as the direction of earth's axis and equator, and the causes of Greenhouse Effect.

• Journal of the Korean earth science society
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• v.31 no.7
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• pp.785-797
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• 2010

This study identified the linguistic features of Earth science treatises through the analysis of the register. Data included three Korean treatises that were in geology, atmospheric science, and oceanography. The register of Earth science treatise was as follows: First, there were semantic, referential connections between Themes and Rhemes, that the messages and main points of the texts were expressed coherently and cohesively. Second, some predicates were used which were related to deductive inference, abductive inferences, or causal relation according to the genre elements of each text. The logical relations were not represented by the conjunctions but by the types of predicates. Third, most texts in the treatises showed interpersonally weak relationship using mental predicates related to possibilities, which meant scientists expressed indirectly their interpretation, explanation, or arguments. From these results, we argued that some activities of unpacking the language of science be included in science curriculum in order to improve students' literacy of science texts and understanding scientists' knowledge construction.