• 한국수학교육학회지시리즈A:수학교육
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• 제45권3호
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• pp.319-343
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• 2006

The purpose of this study is to investigate how fifth and sixth graders recognize average and to find out suggestions for teaching/learning methods of average by examining which difference there is depending on the way of the word problem presentation. For the this purpose, was conducted experiment study with the way of the world problem presentation set up as experimental treatment. The conclusions drawn from the results obtained in the this study were as follows : First, since students who did not learn the regular course of average had various informal concepts already, it is needed to consider handling more various concepts of average in order to enable students to expand flexible thoughts. Second, compared with fifth and sixth graders showed a wide difference in informal concepts of average depending on the way of the word problem presentation. In expect data with given average, concepts of mean as algorithm, balance point, and mode indicated similar percentage, while in estimate average with given data, the percentage of students who showed the concept of mean was very high at 67.6%. That may be because problems related to mean in the current textbooks are items of 'estimate average with given data', so in types of 'estimate average with given data', students solve questions with mean as algorithm without considering situations of problems. This result suggests that it is necessary to diversify the way of the word problem presentation even in textbooks. Third, as a result of analyzing informal concepts of average, there was significant difference in grades. In addition, the results suggested that there would be difference in the concepts of average depending on gender or attributes of discrete quantity and continuous quantity.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제23권3호
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• pp.761-783
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• 2009

본 논문은 수학과 교육과정에서 지속적으로 강조되어 온 문제해결과 관련하여 제7차 교육과정 분석에서 논의되었던 계열성 측면에서 초등과 중등 수학에서 다루어지는 이원일차연립방정식 형태의 문장제 해결 과정에서 학생들이 보이는 특성을 면밀하게 탐색하였다. 분석 결과 초등학교 학생들은 이원일차연립방정식 형태의 문장제 해결 경험 및 학습의 차이가 있음에도 불구하고 성취도와 선호하는 전략에 있어서 학년 간 차이가 크게 나타나지 않았다. 또한, 초등학교 학생들은 이원일차연립방정식 형태의 문장제 해결에서 전략들 사이의 연결, 예상과 확인 전략의 효율적인 사용, 자연스러운 대수식 표현의 특징을 보였다. 본 연구는 초등학교 학생들의 이원일차연립방정식 형태의 문장제 해결 사례를 바탕으로 초등과 중등의 연계성을 찾을 수 있는 문제해결 지도에 대한 시사점을 제공한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3991-4010
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• 2021

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

• 영어어문교육
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• 제3호
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• pp.231-248
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• 1997

With the trend of globalization more people are absorbing in the English learning programs. Not a few attend even the English-Korean translation training course to be semi-professional translators, but we English teachers have already experienced that it is not so easy to translate any language into another, and that it is far more difficult to translate poetry. Much time has been devoted to investigating the problems of translating poetry than any other mode. Poetry translation theory is concerned with the problem of faithfulness to the original poetry. To be a good translator we must fully understand the sound and sense of the original work. But when in translating English poetry into Korean we feel keenly our limits of understanding the sound and style of English poetry, and of expressing them into Korean. Even our sense-oriented translation is far from satisfactory. We often make quite a few mistranslation. Another immediate problem is that of alternation between word-for-word translation and free translation method, but first of all, we should have a perfect knowledge and understanding in English, and a good command of our mother tongue. We should also have a sound interpretation ability because poetry translation is based on the interpretation of the original, and on the shaping of that interpretation. Some doubts have been raised over the feasibility of poetry translation. They say it is not possible to combine in another language the emotion, the form, the style, the musical devices of English poetry. Yet the art of translation has been practiced everywhere in the world. Through this art we can share our experience and culture with foreigners and theirs with us.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4264-4279
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• 2017

In this paper, maximum likelihood-based automatic lexicon generation using mixed-syllables is proposed for unlimited vocabulary voice interface for East Asian languages (e.g. Korean, Chinese and Japanese) in AI-assistant based interaction with mobile devices. The conventional lexicon has two inevitable problems: 1) a tedious repetition of out-of-lexicon unit additions to the lexicon, and 2) the propagation of errors during a morpheme analysis and space segmentation. The proposed method provides an automatic framework to solve the above problems. The proposed method produces a level of overall accuracy similar to one of previous methods in the presence of one out-of-lexicon word in a sentence, but the proposed method provides superior results with the absolute improvements of 1.62%, 5.58%, and 10.09% in terms of word accuracy when the number of out-of-lexicon words in a sentence was two, three and four, respectively.

• 한국수학사학회지
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• 제33권6호
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• pp.303-314
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• 2020

Extending the method of extractions of square and cube roots in Jiuzhang Suanshu, Jia Xian introduced zengcheng kaifangfa in the 11th century. The process of zengcheng kaifangfa is exactly the same with that in Ruffini-Horner method introduced in the 19th century. The latter is based on the synthetic divisions, but zengcheng kaifangfa uses the binomial expansions. Since zengcheng kaifangfa is based on binomial expansions, traditional mathematicians in East Asia could not relate the fact that solutions of polynomial equation p(x) = 0 are determined by the linear factorization of p(x). The purpose of this paper is to reveal the difference between the mathematical structures of zengcheng kaifangfa and Ruffini-Honer method. For this object, we first discuss the reasons for zengcheng kaifangfa having difficulties to connect solutions with linear factors. Furthermore, investigating multiple solutions of equations constructed by tianyuanshu, we show differences between two methods and the structure of word problems in the East Asian mathematics.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.481-490
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• 2020

Batik industry is a business activity oriented towards customer loyalty and is demanded to show an increasing diversity of products with various motives designed to prevent customers from moving to other companies. Therefore, the purpose of this study is to develop a theoretical approach in solving problems in the relationship between service quality and product diversity on satisfaction and word of mouth (WoM) and its impact on customer loyalty. Furthermore, this study also examined the mediating effects of satisfaction and WoM in the relationship between service quality and product diversity on customer loyalty. This research's object took the customers of Batik Semarangan Craftwork, Indonesia, with the phenomenon of always developing creative and innovative Batik motif designs that can be accepted by the market without leaving Semarang's uniqueness. The total sample was 98 customers. The results of the study showed that service quality and product diversity positively affected satisfaction and WoM and had a positive effect on customer loyalty. Besides, satisfaction and WoM had a mediating effect on the effect of service quality and product diversity on loyalty. Thus, it is essential for management to create and increase customer loyalty by paying attention to service quality, product diversity, satisfaction, and WoM.

• 정보처리학회논문지B
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• 제14B권1호
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• pp.43-50
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• 2007

본 연구에서는 인지 능력이 부족한 지적장애학생들에게 수학 문제해결을 교수하기 위한 스캐폴딩 기반 코스웨어 설계 방안을 제안한다. 제안하는 코스웨어에서는 지적장애학생들이 수학 문제해결 과정에서 겪는 어려움을 극복할 수 있도록 다양한 공학적 지원을 제공할 뿐만 아니라 그러한 지원을 체계적으로 철회한다. 기존의 관련 소프트웨어들과 비교해 볼 때에, 이 코스웨어는 지적장애학생 개개인의 필요에 알맞게 수학교수전략을 적합화하고, 학습자의 독립적인 학습 능력을 신장시키며, 성공 경험을 통해 학습 동기를 높일 수 있다는 의의를 갖는다.

• 식품보건융합연구
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• 제9권1호
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• pp.19-28
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• 2023

The purpose of this study is to explore which areas have been more interested in depression research in Korea through analysis of academic papers related to depression, and then to provide insights that can solve future depression problems. 1,032 papers searched with the keyword "depression" in scienceON were analyzed using Python 3.7 for word frequency analysis, word co-occurrence analysis, BERTopic, LDA, and OLS regression analysis. The results of word frequency and co-occurrence frequency analysis showed that related words were composed around words such as patient, disorder and symptom. As a result of topic modeling, a total of 13 topics including 'childhood depression' and 'eating anxiety' were derived. And it has been identified as a topic of interest that 'suicidal thoughts', 'treatment', 'occupational health', and 'health treatment program' were statistically significant topics, while 'child depression' and 'female treatment' were relatively less. As a result of the analysis of research trends, future research will not only study physiological and psychological factors but also social and environmental causes, as well as it was suggested that various collaborative studies of experts in academia were needed such as convergence and complex perspectives for depression relief and treatment.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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• pp.1311-1314
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• 2003

In this paper, we propose a method to measure document similarity. First, we have exploited single-term method that extracts nouns by using a lexical analyzer as a preprocessing step to match one index to one noun. In spite of irrelevance between documents, possibility of increasing document similarity is high with this method. For this reason, a term-phrase method has been reported. This method constructs co-occurrence between two words as an index to measure document similarity. In this paper, we tried another method that combine these two methods to compensate the problems in these two methods. Six types of features are extracted from two input documents, and they are fed into a neural network to calculate the final value of document similarity. Reliability of our method has been proved by an experiment of document retrieval.