• Journal of The Korean Association For Science Education
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• v.35 no.3
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• pp.375-382
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• 2015

Textbooks corresponding to curriculum goals are necessary because they are specific products of curriculum and are the most important materials for teaching, learning, and evaluation. In particular, learning objectives written in textbooks should be clearly described because they play a role in promoting learning by showing learning goals to learners clearly. This study analyzed the characteristics of verbs used as predicate of learning objectives written in high school physics I and II textbooks of Korea and compared them with physics textbooks of Singapore and the United States. Results show that Korean textbooks have less kinds of verbs compared to those of Singapore and the United States, and the verbs with abstract and comprehensive meaning such as 'understand' and 'know' were mainly used. In American textbooks, it was noticeable that no verbs have been used by more than 10%. When classifying the learning objectives in the two Korean textbooks, cognitive domain accounted for 98 to 99%, and inquiry domain accounted for only 1% to 2%. With regard to physics textbooks of the United States, inquiry domain accounted for a large proportion of domains in learning objectives compared with physics textbooks of Korea and Singapore. Physics textbooks of Singapore were similar to those of Korea in that learning objectives were biased toward cognitive domain, but differed from those of Korea in that learning objectives were specifically described using action verbs.

• Journal of Gifted/Talented Education
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• v.22 no.1
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• pp.173-196
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• 2012

The relationship of the teacher's recommendation and performance in gifted programs for the selected student by teacher's observations and nominations was analyzed in this study. The teacher's recommendation for 9 students selected by teacher's observations and nominations in institute of Science gifted Education of C National University of Education was analyzed for this purpose. The students were categorized into 4 groups depending on the description style and contents of the teacher's recommendation and 1 student was selected from each group for analysis. It was shown that the student, a1 who was described with cognitive characteristics of the gifted in episode style in the teacher's recommendation showed the aggressive task adherence and problem solving ability. The student, a2 who was described with emotional and social characteristics in episode style attended at the class in active attitude, but the student solved the problem by the assistance of the colleagues or the teacher. The student, b1 who was listed superficially in the teacher's recommendation showed the excellent problem solving ability based on the task adherence, experiment design ability and experiment manipulation ability. The student, b2 who was listed in superficially in the teacher's recommendation attended at the class in positive and upright attitude, but the task solving was lagged behind. It is concluded from the above results that the description on the cognitive area is necessary for the teacher's recommendation to have the usefulness in selecting gifted students.

• The Mathematical Education
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• v.63 no.2
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• pp.165-186
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• 2024

Despite the growing attention on artificial intelligence-based automated scoring technology as a support method for the introduction of descriptive items in school environments and large-scale assessments, there is a noticeable lack of foundational research in mathematics compared to other subjects. This study developed an automated scoring model for two descriptive items in first-year middle school mathematics using the Random Forest algorithm, evaluated its performance, and explored ways to enhance this performance. The accuracy of the final models for the two items was found to be between 0.95 to 1.00 and 0.73 to 0.89, respectively, which is relatively high compared to automated scoring models in other subjects. We discovered that the strategic selection of the number of evaluation categories, taking into account the amount of data, is crucial for the effective development and performance of automated scoring models. Additionally, text preprocessing by mathematics education experts proved effective in improving both the performance and interpretability of the automated scoring model. Selecting a vectorization method that matches the characteristics of the items and data was identified as one way to enhance model performance. Furthermore, we confirmed that oversampling is a useful method to supplement performance in situations where practical limitations hinder balanced data collection. To enhance educational utility, further research is needed on how to utilize feature importance derived from the Random Forest-based automated scoring model to generate useful information for teaching and learning, such as feedback. This study is significant as foundational research in the field of mathematics descriptive automatic scoring, and there is a need for various subsequent studies through close collaboration between AI experts and math education experts.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.147-152
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• 2019

The purpose of this study is to compare stress, empathy, and communication in stress coping group and non-coping group. The data collected using questionnaires from nursing students. Data was analyzed using descriptive statistics, t-test, and Pearson correlation with SPSS 23.0 version. Significantly lower scores for stress (mean, 2.42 vs. 2.97; p=.000), and higher scores for communication (mean 3.33 vs. 3.21; p=.008) were observed in the stress coping group compared with the non-coping group. Further studies need to development and application a program that enhances subjective stress coping methods.

• Journal of East-West Nursing Research
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• v.14 no.1
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• pp.78-86
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• 2008

본 연구는 여대생의 건강증진행위를 설명하기 위하여, 문헌고찰을 통해 가설적 모형을 도출하고, 여대생을 대상으로 건강증진행위를 횡단적으로 조사하여 모형의 적합성과 모형에서 제시된 가설을 검증하는 서술적 상관관계 연구이다. 연구에 사용된 변수는 건강증진행위와 관련된 선행 문헌의 고찰을 근거로 선정되었으며, 총 280명의 자료가 최종 분석에 이용되었다. 설문지는 Pender의 건강증진모형을 기초로 하여 개발하였으며, 조정요인 5문항, 건강상태 지각 3문항, 건강 통제위 4문항, 자아 존중감 5문항, 건강증진 행위 24문항의 총 41문항으로 구성하여 사용하였다. 개발된 항목에 대하여 간호대학생들을 대상으로 사전 조사를 실시하여 최종적인 설문지를 완성하였다. 본 연구모형에 대한 구성개념의 파악을 위해서 탐색적 요인분석을 실시하였고, 측정항목에 대한 요인별 단일 차원성 확인 및 통계적 검정을 위해 확인적 요인분석을 실시하였다. 연구의 가설검증을 위해 공변량 구조분석을 실시하였다. 모형의 적합도는 카이제곱은 244.04(자유도=121, p<0.001), GFI=0.91, CFI=0.97, NNFI=0.96, RMSR= 0.022으로 나타났다. 분석결과 여대생의 자아존중감과 내적통제위는 건강상태지각 및 건강증진행위에 유의한 영향을 미치는 요인으로 확인되었으며, 여대생의 건강상태지각은 건강증진행위에 유의한 영향을 미치는 것으로 나타났다.

• Annual Conference on Human and Language Technology
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• 2012.10a
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• pp.175-180
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• 2012

기술용어 패러프레이즈 (Terminological Paraphrase, TP)는 학술 문헌 내에서 기술 용어의 개념 및 정의를 다른 형태로 풀어서 알기 쉽게 서술적 문구 (descriptive expression) 를 의미한다. 이러한 TP들에 대한 효율적인 식별과 추출은 학술 정보에 대한 개념적 접근이나 학술 정보 검색의 재현율 향상에 매우 중요하다. 본 논문은 생명 공학 분야의 논문에 나타나는 다양한 형태의 TP들을 효율적으로 추출하기 위한 정보 검색 기반의 추출 방법론을 제시하고 총 여섯 가지의 추출 랭킹 모델을 기반으로 이를 결합함으로써 TP추출의 확장 가능성에 대한 실험적 연구를 수행한다. 실험 결과, 활용된 랭킹 모델이 서로 상호 보완적인 관계에 있음을 알 수 있었으며, 랭킹 결합에 의한 성능 개선 효과를 얻을 수 있었다.

• The Journal of the Acoustical Society of Korea
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• v.24 no.7
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• pp.365-370
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• 2005

The present study is purposed to establish a systematic theory for user-friendly approach to the creation of using a programming language using Csound. Csound is a world-wide computer music programming language and a software synthesizer specialized for prominent sound designers developed by Barry Vercoe at the Media Laboratory in M.I.T. The introduction and the main body of this paper suggested as the starting point of creating electronic music and musical sound the time of combination of music with natural sound or sound from specific media from the viewpoint of traditional Western music. and presents a systematic method composed of the principle of the operation of Csound and basic data samples.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.359-367
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• 2020

This study is a descriptive research to identify the factors affecting the mental health of nursing aides. The subjects were 227 nursing aides working in the metropolitan area of South Korea, and the survey was conducted in October 2019 using the structured questionnaires. The results showed that the factors affecting mental health of nursing aides were emotion stability, emotional intelligence, occupational stress, and subjective perception of physical health, and their explanatory power for mental health was 64.6%. As a result, it is necessary to develop an intervention program to improve emotion stability, emotional intelligence, occupational stress, and subjective perception of physical health in order to improve mental health of nursing aides.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.249-258
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• 2017

This study examined the influence of self- efficacy for smoking cessation, depression, social support and nicotine dependency in the college male smoker. This survey design was adopted for 149 male college students in Gyeongbuk. Data were gathered from September 7 to 18, 2016. Data was analyzed for descriptive statistics, t-test, ANOVA, Pearson correlation, and multiple regression. There was a significant positive correlation between depression and nicotine dependency. There was a significant negative correlation between self-efficacy for smoking cessation and nicotine dependency and between social support and nicotine dependency. The significant factors influencing nicotine dependency were self-efficacy for smoking cessation and depression. This model explained 34% of variance in nicotine dependency. The results suggest that an intervention program is needed to reduce the depression and to increase the ability of self-efficacy for smoking cessation in the college male smoker.

• Journal of Industrial Convergence
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• v.18 no.2
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• pp.37-44
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• 2020

This paper of descriptive-correlative design determined the effects of health perception, need of exercise and self-efficacy on the frequency of exercise among diabetic patients. A total of 86 questionnaires were retrieved from these groups of diabetic patients, who regularly visits endocrinology clinics and accomplished voluntarily the major instrument distributed from two university hospitals in A city, during June to July, 2018. The result was a significant positive relationship that existed between health perception (r=.215, p=.043) and self-efficacy (r=.440, p<.001) with frequency of exercise respectively. Regression analysis revealed that the factor affecting the frequency of exercise is self efficacy (β=.440, p<.001) which illustrated to have a significant effect in the model's explanatory power at 18.4%(F=20.836, p<.001) results. This suggests that diabetic patients with a high positive health perception increase self-efficacy, their self-efficacy will help increase the frequency of exercise if further developed. Therefore, if an intervention program is developed to improve the health perception and self-efficacy education program for diabetics, it will help improve the frequency of exercise, namely diabetes management exercise.