• Journal of Elementary Mathematics Education in Korea
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• v.12 no.2
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• pp.185-204
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• 2008

The purposes of this study are to analyze sentence structures of word problems suggested in educational math programs for the 2nd grade elementary students and error patterns in sentence interpretation, and examine how sentence structures influence on errors during sentence comprehension. Based on the results of the analysis on 168 word problems suggested in math textbooks for the 2nd grade elementary students and error patterns observed while 160 the 2nd grade elementary students attempted to solve math word problems, easy and simple vocabularies are repeatedly used in the sentence structures of word problems and specific real life materials such as fruits, books, the number of people and etc. were repeatedly used. 51.56% of errors in sentence interpretation observed was higher than 39.20% of calculation errors and backtracking operation, a length of sentences, the numbers used in questions and off were analyzed to be involved in the errors in interpretation. Therefore, it is very important to make word problems from a student's points of view rather than a teacher's point of view and the study suggests that teachers help students learn basic sentence interpretation skills.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.36-48
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• 2020

App market has continuously been growth since its launch. The market revenues will reach about 1,000 billion US dollars in 2019. App is a core service for smartphone. Currently, there are more than 1.5 million mobile apps in App platform calling out for attention. So, if you are looking at developing a successful app, you need to have a solid marketing and distribution strategy. Online word of mouth(eWOM) is one of the most effective, powerful App marketing method. eWOM affect potential consumers' decision making, and this effect can spread rapidly through online social network. Despite the increasing research on word of mouth, only few studies have focused on content analysis. Most of studies focused on the causes and acceptance of eWOM and eWOM performance measurement. This study aims to content analysis of mobile apps review In 2013, Google researchers announced Word2Vec. This method has overcome the weakness of previous studies. This is faster and more accurate than traditional methods. This study found out the relationship between mobile app reviews and checked for reactions by Word2vec.

• The Mathematical Education
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• v.60 no.4
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• pp.509-527
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• 2021

We investigated whether and how pre-service teachers took the realistic contexts seriously in the course of solving word problems; additionally, we investigated how pre-service teachers evaluated students' realistic and non-realistic answers to word problems. Many pre-service teachers, similar to students, solved some of the realistic problems unrealistically without taking the realistic contexts seriously. Besides, they evaluated students' non-realistic answers higher than the realistic answers. Whether the pre-service teachers could solve problems realistically or not, they did not appreciate students' realistic considerations for the reasons that those were not fitted to the intentions of the word problems, or those were evidence of the flaws of the problem. Furthermore, the analysis of premises implied in the pre-service teachers' evaluation comments showed the implicit didactic contracts about realistic word problem solving that they accepted and also anticipated students to follow. Our analysis of the pre-service teachers' conceptions of realistic word problems can help teacher educators design the teacher program to challenge and revise pre-service teachers' folk pedagogy.

• Journal of the Korean Home Economics Association
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• v.47 no.1
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• pp.13-24
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• 2009

The purpose of this study was to examine the effects of banking service quality on consumer satisfaction and positive word-of-mouth. A total of 330 bank consumers were investigated between Sept. 11 and Oct. 11, 2006. After sorting through the data, the responses of 299 consumer ( > 24 yrs old) were used for analysis. SERVPERF, the performance component of the Service Quality scale (SERVQUAL), was used to measure the four dimensions of reliability, responsiveness/empathy, assurance, and tangibles. Responses were partitioned by age and gender. The major findings were as follows; The effect of service quality by SERVPERF on consumer satisfaction and positive word-of-mouth did not differ according to gender. However, positive recommendation in males was directy related to the technical quality evaluate. In females, higher the functional quality evaluate was directly related to higher positive word-of-mouth recommendation. The effect of service quality by SERVPERF on consumer satisfaction was not revealed differently according to age. However, with respect to respondents under the age of 45, tangibles and assurance had a positive relationship with word-of-mouth recommendation. Furthermore, the higher the functional quality evaluate, the higher the level of positive word-of-mouth. Responsiveness/empathy was the most significant factor on positive word-of-mouth recommendation in respondents over the age of 45. In this age group, the higher the technical quality evaluate, the higher the level of positive word-of-mouth recommendation. These results have implications for banking service managers, particularly in improving service quality to increase consumer satisfaction and positive word-of-mouth. Future research is needed to replicate this study using more broad and representative samples in order to test the generalization of these findings.

• Journal of the Korean Society of Safety
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• v.36 no.5
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• pp.61-70
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• 2021

This study aimed to analyze the research trends of the abstract data of ergonomic studies registered in MEDLINE, a medical bibliographic database, using word embedding. Medical-related ergonomic studies mainly focus on work-related musculoskeletal disorders, and there are no studies on the analysis of words as data using natural language processing techniques, such as word embedding. In this study, the abstract data of ergonomic studies were extracted with a program written with selenium and BeutifulSoup modules using python. The word embedding of the abstract data was performed using the word2vec model, after which the data found in the abstract were vectorized. The vectorized data were visualized in two dimensions using t-Distributed Stochastic Neighbor Embedding (t-SNE). The word "ergonomics" and ten of the most frequently used words in the abstract were selected as keywords. The results revealed that the most frequently used words in the abstract of ergonomics studies include "use", "work", and "task". In addition, the t-SNE technique revealed that words, such as "workplace", "design", and "engineering," exhibited the highest relevance to ergonomics. The keywords observed in the abstract of ergonomic studies using t-SNE were classified into four groups. Ergonomics studies registered with MEDLINE have investigated the risk factors associated with workers performing an operation or task using tools, and in this study, ergonomics studies were identified by the relationship between keywords using word embedding. The results of this study will provide useful and diverse insights on future research direction on ergonomic studies.

• Korea Journal of Hospital Management
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• v.29 no.2
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• pp.18-36
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• 2024

This study delved into the complex nature of medical services as experience goods and trust services, investigating the profound impact of online word-of-mouth on medical consumers' decisions to visit hospitals. Considering the restrictive legal framework for medical advertising, consumers are increasingly dependent on unrestricted sources of information like online reviews. This research aimed to provide empirical evidence for the significant role online word-of-mouth plays in hospital selection. Utilizing data from Naver reviews, hospital choice factors were classified based on the Kano model, revealing the subtle yet significant influence that word-of-mouth has on consumers' hospital visit intentions beyond merely positive or negative messages. In particular, the study provided insights into how the categorized positive and negative information, along with the presence or absence of emotional expression, affects the efficacy of word-of-mouth. The experiment targeted medical consumers aged over 20 and, through analysis using the SPSS statistical program, yielded important findings. The direction of online word-of-mouth, the presence of emotional expression, and the interaction of Kano attributes all created significant differences in hospital visit intentions. Notably, emotional expression included in negative word-of-mouth concerning one-dimensional attributes markedly decreased visit intentions, whereas the absence of emotional expression in attractive attributes actually enhanced reliability and increased visit intentions. These findings offer critical implications for redefining strategies in medical marketing and online review management. The discoveries of this study underscore the importance of active engagement and strategic management of online reviews by medical service providers, urging careful consideration of the various elements of online word-of-mouth that influence medical consumers' hospital visit intentions.

• Phonetics and Speech Sciences
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• v.4 no.4
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• pp.45-52
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• 2012

The purpose of this paper is to measure the first two vowel formants of the ten young female speakers from the Buckeye Corpus of Conversational Speech [1] automatically and then to analyze various potential factors that may affect the formant distribution of the eight peripheral vowels of English. The factors that were analyzed included the place of articulation, the content versus function word information, the syllabic stress information, the location in a word, the location in an utterance, the speech rate of the three consecutive words, and the word frequency in the corpus. The results indicate that the overall formant patterns of the female speakers were similar to those of earlier works. The effects of the factors on the realization of the two formants were also similar to those from the male speakers with minor differences.

• Annual Conference on Human and Language Technology
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• 1999.10e
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• pp.343-350
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• 1999

본 논문은 한글에서 나타나는 Word Speriority Effect의 특성을 설명해 주는 한글의 글자 인지모델을 제안한다. 제안된 모델은 영어에서 나타나는 Word Superiority Effect를 설명하기 위해서 제안된 Interactive Activation Model을 기초로 한다. 우선은 영어에 맞도록 설계된 Interactive Activation Model을 한글에 적용할 수 있도록 수정하는 방법에 대해서 알아본다. 다음으로 한글에서 나타난 Word Superiority Effect의 특징과 그러한 특징을 기존의 Interactive Activation Model에 반영하기 위한 방법에 대해 알아본다. 제안된 방법을 이용해서 수정된 Interactive Activation Model을 컴퓨터로 구현해서 모의실험한 결과를 분석함으로써 제안된 모델의 타당성을 검증하게 된다.

• Phonetics and Speech Sciences
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• v.10 no.4
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• pp.101-110
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• 2018

This study aimed to show that Selkirk's concept of resyllabification offers a better analysis than Kahn's ambisyllabification to account for phonetic resyllabification. We conducted two production experiments to investigate the acoustic characteristics of the English /s/ in real words and nonce words. Ten English native speakers and six English native speakers participated in experiment 1 and experiment 2, respectively. Three acoustic cues - frication duration, center of gravity and aspiration duration of word-medial /s/ - were measured. We found that these three cues of the word-medial /s/ were realized significantly differently depending on the stresshood and openness of the preceding syllable. We preferred Selkirk's resyllabification to Kahn's ambisyllabification to explain this result because the word-medial and intervocalic /s/ behaved as the coda (as opposed to the onset) when the preceding syllable was stressed and open. The result thus suggested that two conditions must be met for the resyllabification rule to apply in English: a word-medial consonant is resyllabified only when its preceding syllable is stressed and open.

• Asia Pacific Journal of Corpus Research
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• v.4 no.2
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• pp.57-74
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• 2023

Having a firm grasp of technical terms is essential for learners of Japanese for Specific Purposes (JSP). This research aims to analyze Japanese nursing care vocabulary based on objective corpus-based frequency and subjectively rated word familiarity. For this purpose, we constructed a text corpus centered on the National Examination for Certified Care Workers to extract nursing care keywords. The Log-Likelihood Ratio (LLR) was used as the statistical criterion for keyword identification, giving a list of 300 keywords as target words for a further word recognition survey. The survey involved 115 participants of whom 51 were certified care workers (CW group) and 64 were individuals from the general public (GP group). These participants rated the familiarity of the target keywords through crowdsourcing. Given the limited sample size, Bayesian linear mixed models were utilized to determine word familiarity rates. Our study conducted a comparative analysis of word familiarity between the CW group and the GP group, revealing key terms that are crucial for professionals but potentially unfamiliar to the general public. By focusing on these terms, instructors can bridge the knowledge gap more efficiently.