• Journal of The Korean Association For Science Education
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• v.36 no.3
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• pp.389-397
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• 2016

This study aims to test the efficacy of English-based automated computer scoring models and machine translation to score Korean college students' written responses on natural selection concept items. To this end, I collected 128 pre-service biology teachers' written responses on four-item instrument (total 512 written responses). The machine translation software (i.e., Google Translate) translated both original responses and spell-corrected responses. The presence/absence of five scientific ideas and three $na{\ddot{i}}ve$ ideas in both translated responses were judged by the automated computer scoring models (i.e., EvoGrader). The computer-scored results (4096 predictions) were compared with expert-scored results. The results illustrated that no significant differences in both average scores and statistical results using average scores was found between the computer-scored result and experts-scored result. The Pearson correlation coefficients of composite scores for each student between computer scoring and experts scoring were 0.848 for scientific ideas and 0.776 for $na{\ddot{i}}ve$ ideas. The inter-rater reliability indices (Cohen kappa) between computer scoring and experts scoring for linguistically simple concepts (e.g., variation, competition, and limited resources) were over 0.8. These findings reveal that the English-based automated computer scoring models and machine translation can be a promising method in scoring Korean college students' written responses on natural selection concept items.

• MALSORI
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• no.62
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• pp.1-17
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• 2007

The purpose of this study was to investigate and quantitatively describe the acoustic characteristics of current Korean monophthongs. Recordings were made of 33 men and 27 women producing the vowels /i, e, ${\epsilon}$, a, ${\partial}$, o, u, i/ in a carrier phrase "This character is ___." A listening test was conducted in which 19 participants judged each vowel. F1, F2, and F3 were measured from the vowels judged as intended vowels by more than 17 people from the listening test. Analysis of formant data shows some interesting results including the undeniable confirmation of the 7-vowel system in modern Korean. It turns out that quite different sounding Korean vowels and English vowels happen to have very similar formant measurements. Also the difference between "citation-form reading" vs. "natural utterance reading" is discussed.

• YAKHAK HOEJI
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• v.58 no.4
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• pp.250-254
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• 2014

Background: A new admission procedure was introduced to Korea when Doctor of Pharmacy (Pharm. D.) program was first established in 2011. In the new procedure, applicants are reviewed based on quantitative qualifications, which include Pharmacy Education Eligibility Test (PEET) scores, Test of English for International Communication (TOEIC) scores, and grade point average (GPA), as well as qualitative qualifications such as essay writing, extracurricular activities including volunteer experiences. Purpose: This study aimed to find relationships between entrance qualifications and academic performance of pharmacy students. Method: Entrance qualifications and academic performance of 164 first-year students were analyzed from 2011 to 2013 at Catholic University of Daegu. Other characteristics such as age and gender were also considered in the study. Results: Only GPA and TOEIC scores showed positive Pearson correlation with academic performance, while PEET scores did not. Conclusion: GPA and TOEIC scores could potentially have predictive validity for academic performance in pharmacy school. PEET scores, however, should simply be considered as pre-entrance qualifications, without predictive validity for academic performance.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.919-922
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• 2000

본 논문에서는 판단 보조 시스템으로써의 기능을 수행하는 Artificial Neural Network(ANN) 시스템의 응용과 설계를 수행하였다. ANN 시스템의 응용에 있어 실질적으로 활용이 가능한 미 경영대학원 진학 희망자들을 위한 학교 선별 시스템을 구현하였다. 미국 소재의 대부분의 경영대학원에서는 입학 지원자의 평가항목으로써 대학평점(GPA), TOEFL(Test Of English as Foreign Language), GMAT(Graduate Management Admission Test), Essay 그리고 실무 경력을 요구한다. 본 논문에서 소개하는 학교 선별 시스템에서는 이러한 평가 항목 중 객관적인 평가가 가능하고 수치화 할 수 있는 세가지 요소만을 고려했다. 즉, Essay와 실무 경력과 같은 평가항목은 각 학교별 다소 주관적인 평가가 이루어지기 때문에 배제하고 보다 객관적이라고 할 수 있는 GPA, TOEFL. GMAT 만을 평가 항목으로 고려했다. 일반적으로 경영대학원에서는 최소의 TOEFL 점수를 요구하고 있다는 점을 고려해 TOEFL 점수에 우선 순위를 두고 각 학교를 크게 4개의 그룹으로 나누어 4개의 각기 다른 Network를 설계했다 최소 5년 이상의 유학 상담 경험이 있는 현직 전문가들을 통해 본 논문에서 소개하는 시스템의 성능을 검증 받았다.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.203-206
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• 2007

The purpose of this study was to investigate and quantitatively describe the acoustic characteristics of current Korean monophthongs. Recordings were made of 33 men and 27 women producing the vowels /i, e, ${\varepsilon}$, a, (표현불가), O, u, (표현불가)/ in a carrier phrase "This character is _." A listening test was conducted in which 19 participants judged each vowel. F1, F2, and F3 were measured from the vowels judged as intended vowels by more than 17 people from the listening test. Analysis of formant data shows some interesting results including the undeniable confirmation of 7-vowel system in current Korean.

• Journal of Fisheries and Marine Sciences Education
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• v.16 no.1
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• pp.35-49
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• 2004

The purpose of this study is to examine the effects of scaffolding instruction on motivated learning strategies and academic achievement. Subjects of this study were 96 middle school first grade students in Busan, who were randomly assigned to two experimental group and one control group. The one experimental group had received scaffolding instruction by teacher, and the other experimental group had received scaffolding instruction by the interaction of peers. Control group were given traditional lessons only by the method of lecture. Students were given English Academic Achievement Test, Motivated Strategies of Learning Questionnaire. T test and ANOVA were used to analyze date. The results of this study showed that scaffolding instruction by ZPD turned out to have a positive influence on motivated learning strategies and academic achievement.

• Journal of KIISE:Software and Applications
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• v.37 no.6
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• pp.470-479
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• 2010

In relation to the extraction of opinion words, it may be difficult to directly apply most of the methods suggested in existing English studies to the Korean language. Additionally, the manual method suggested by studies in Korea poses a problem with the extraction of opinion words in that it takes a long time. In addition, English thesaurus-based extraction of Korean opinion words leaves a challenge to reconsider the deterioration of precision attributed to the one to one mismatching between Korean and English words. Studies based on Korean phrase analyzers may potentially fail due to the fact that they select opinion words with a low level of frequency. Therefore, this study will suggest the k-Structure (k=5 or 8) method, which may possibly improve the precision while mutually complementing existing studies in Korea, in automatically extracting opinion words from a simple sentence in a given Korean product review. A simple sentence is defined to be composed of at least 3 words, i.e., a sentence including an opinion word in ${\pm}2$ distance from the attribute name (e.g., the 'battery' of a camera) of a evaluated product (e.g., a 'camera'). In the performance experiment, the precision of those opinion words for 8 previously given attribute names were automatically extracted and estimated for 1,868 product reviews collected from major domestic shopping malls, by using k-Structure. The results showed that k=5 led to a recall of 79.0% and a precision of 87.0%; while k=8 led to a recall of 92.35% and a precision of 89.3%. Also, a test was conducted using PMI-IR (Pointwise Mutual Information - Information Retrieval) out of those methods suggested in English studies, which resulted in a recall of 55% and a precision of 57%.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.326-336
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• 2022

This study aims to examine Korean learners' production of American English vowel focused on feature analysis. Specifically, the present study adopts feature analysis so that vowel production is analyzed in terms of vowel features as well as overall segmental accuracy. To this end, 22 Korean college students participated in a production test which contained 11 English vowels /i, ɪ, eɪ, ɛ, æ, ɑ, oʊ, ɔ, ʊ, u, ʌ/. The results revealed that the degree of difficulty varied depending on features; the Korean participants showed higher accuracy for front/back features than for tongue height features and tense/lax features. In particular, the participants had more difficulty producing back vowels and non-high vowels than front vowels and high vowels with respect to tongue height features and lip rounding features. Among the individual vowels, /eɪ/ showed the highest accuracy in feature analysis. On the other hand, /ɑ, ɔ, ʌ/ showed low accuracy with respect to height features and lip rounding features, and high vowels /i, ʊ, u/ showed low accuracy with respect to tense/lax features. As for the correlation between the vowel features, tongue height features and lip rounding features are significantly correlated. Also, tongue height features and tense/lax features showed a strong correlation. Finally, pedagogical implications for teaching English vowels were further discussed based on the findings of the current study.

• IE interfaces
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• v.25 no.3
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• pp.290-299
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• 2012

Keystroke dynamics refers to a way of typing a string of characters. Since one has his/her own typing behavior, one's keystroke dynamics can be used as a distinctive biometric feature for user authentication. In this paper, two authentication algorithms based on keystroke dynamics of long and free texts are proposed. The first is the K-S score, which is based on the Kolmogorov-Smirnov test, and the second is the 'R-A' measure, which combines 'R' and 'A' measures proposed by Gunetti and Picardi (2005). In order to verify the authentication performance of the proposed algorithms, we collected more than 3,000 key latencies from 34 subjects in Korean and 35 subjects in English. Compared with three benchmark algorithms, we found that the K-S score was outstanding when the reference and test key latencies were not sufficient, while the 'R-A' measure was the best when enough reference and test key latencies were provided.

• Women's Health Nursing
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• v.13 no.3
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• pp.211-218
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• 2007

Purpose: This study aimed to evaluate the accuracy and adequacy of research papers reporting statistical testings for mean differences. Methods: Original research articles utilized t-test, Chi-square test, and ANOVA were reviewed from Korean Journal of Women Health Nursing published from the year 2004 to 2006. Seventy-six papers were evaluated in accordance with formatted criteria in respect to an inclusiveness of research title, accuracy of statistical methods and presentation styles, and errors in reporting statistical outcomes. Results: Research titles were quite comprehensive, however overall accuracy of statistical values and basic formats reached only 60 to 80% by items. Details of the presentation in the reporting of outcomes were not complied with the guidelines, which need careful concerns of the writers. Errors of English in table presentation were found in more than 30% of the papers. Conclusion: The outcome would be reflected in the submission guidelines for future writers. To reach the level comparable with internationally recognized nursing journals, concrete knowledge to apply statistical methods should be ensured in the processes of submission, reviews, and editing.