• Title/Summary/Keyword: 지각선형예측분석

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A Study on the Factors Affecting on Pre-Service Early Childhood Teachers' Adoption Intention of Robot-Based Education (예비유아교사의 로봇활용교육 수용의도에 영향을 미치는 요인에 관한 연구)

  • Chung, Ae-Kyung;Byun, Sun-Joo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.4
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    • pp.227-235
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    • 2018
  • The purpose of this study was to analyze the factors affecting on pre-service early childhood teachers' adoption intention of Robot-based education. For this purpose, the survey was conducted on 259 college students and the collected data was analyzed using SPSS 23.0. T-test and one-way ANOVA were used to compare the differences of adoption intention and predictive factors according to pre-service early childhood teachers' background variables. In addition, multiple linear regression analysis was conducted to analyze influence of perceived ease of use, perceived efficacy, innovative will, and social effect on adoption intention. The results were found that adoption intention and predictive factors did not show any significant difference according to background variables and that perceived ease of use and perceived efficacy influenced on pre-service early childhood teachers' adoption intention. Moreover, innovative will and social effect had an effect on perceived ease of use and perceived ease of use and social effect had an effect on perceived efficacy.

A study on Korean collegians' health perception toward Eggs contaminated with pesticide: Will preventive behavioral intention be predicted by perceived susceptibility and severity, trust in government, evaluation of information from government, and subjective knowledge? (한국대학생의 살충제 오염 달걀에 대한 건강인식에 관한 연구: 지각한 민감성과 심각성, 정부에 대한 신뢰성, 정부 출처 정보에 대한 평가 및 주관적 지식이 예방행동의도를 예측하는가?)

  • Joo, Jihyuk
    • Journal of the Korea Convergence Society
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    • v.9 no.12
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    • pp.355-363
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    • 2018
  • Found pesticide-contaminated eggs in 2017, the situation became a hot issue in many countries in the world as well as Korea. In the context of the pesticide-contaminated egg, this study explored that preventive behavioral intention would be predicted by perceived susceptibility and severity from health belief model, trust in the government and evaluation of information from the government, and subjective knowledge. We found that preventive behavioral intention was explained by perceived severity (${\beta}=.262$, t=3.531, p<0.001), trust in the government (${\beta}=.25$, t=3.281, p<0.001), and evaluation of the information from the government (${\beta}=.226$, t=2.936, p<0.01) through stepwise multiple linear regression analysis. The findings imply the government would administer policy in terms of credibility, accuracy, and consistency for decreasing the public's sense of unease and panic when a similar incident occurs.

Exploring Predictors Affecting Children's Character Development Using Hierarchical Linear Modeling: Focusing on Effects of Child Care Teachers' Emotional Support (위계적 선형모형을 이용한 유아 인성 발달 영향 요인 연구: 교사 정서적 지원의 영향력을 중심으로)

  • Shin, Nary;Oh, Jeong Soon
    • Korean Journal of Childcare and Education
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    • v.11 no.2
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    • pp.59-85
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    • 2015
  • The purpose of this study was to investigate the effects of child care teachers' emotional supports in individual classrooms on children's social skills, including self-control, assertion, cooperation, and responsibility that were related to their character development. Data were collected in a purposive sample involving 32 teachers working with 646 children at age five and 555 parents of the children. Hierarchical Linear Modeling (HLM) was used to analyze a two-level model. The results showed that there were significant differences among classes with data reported by teachers but characteristics such as teachers' education and work experiences, child-teacher ratio, and type of child care centers as well as teacher's emotional supports did not explain the differences. Children's age and gender, which were predictors at the individual level, significantly explained their level of social skills reported by parents as well as teachers. The findings implied that other predictors influencing differences among classes should be explored in future studies.

The Effect on the Major Satisfaction and the Career Adaptabilityof Nursing Students by the Perception of Hospital Nurse's Workplace Bullying (간호대학생이 지각한 병원간호사의 직장 내 괴롭힘이 전공만족도와 진로적응성에 미치는 영향)

  • Kim, Hey-Kyoung
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.4
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    • pp.1045-1055
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    • 2021
  • The purpose of this study was to investigate the effect on the major satisfaction and the career adaptability of nursing students by the perception hospital nurse's workplace bullying. A survey was held to the university students in Seoul and Chungcheong cities from February 1 to April 15, 2020. 187 copies were in the final analysis for data analysis, t-test, ANOVA, Pearson's Correlation Coefficient and Multiple regression was used. As a result, the factors of affecting on the major satisfaction and career adaptability were followed by grade, motivation of the major, workplace bullying, major satisfaction, career adaptability, presence of bullying perceptual effects. The multiple regression explanatory power was 33.1percent of the total changes in major satisfaction. and the multiple regression explanatory power was 28.9percent of the total changes in career adaptability. Therefore, this study could be used as a basic data for the counseling and developing and activation education programs to improve awareness of bullying culture in the workplace.

An Emotion Recognition Technique using Speech Signals (음성신호를 이용한 감정인식)

  • Jung, Byung-Wook;Cheun, Seung-Pyo;Kim, Youn-Tae;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.4
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    • pp.494-500
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    • 2008
  • In the field of development of human interface technology, the interactions between human and machine are important. The research on emotion recognition helps these interactions. This paper presents an algorithm for emotion recognition based on personalized speech signals. The proposed approach is trying to extract the characteristic of speech signal for emotion recognition using PLP (perceptual linear prediction) analysis. The PLP analysis technique was originally designed to suppress speaker dependent components in features used for automatic speech recognition, but later experiments demonstrated the efficiency of their use for speaker recognition tasks. So this paper proposed an algorithm that can easily evaluate the personal emotion from speech signals in real time using personalized emotion patterns that are made by PLP analysis. The experimental results show that the maximum recognition rate for the speaker dependant system is above 90%, whereas the average recognition rate is 75%. The proposed system has a simple structure and but efficient to be used in real time.

Understanding and predicting elementary teachers' intention to change in mathematics instruction (초등교사의 수학과 수업 개선 의지의 예측과 이해)

  • 오영열
    • Journal of Educational Research in Mathematics
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    • v.13 no.3
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    • pp.267-286
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    • 2003
  • The purpose of this study was to understand the structures underlying Korean elementary teachers' attitudinal beliefs toward reform-oriented mathematics instruction and predict their intentions to change traditionally-oriented teaching practice. The theory of planned behavior (TPB) developed by Fishbein and Ajzen provided a conceptual framework for the examination of factors that influence Korean teachers' beliefs, attitudes, subjective norms and perceptions of control factors. Data were gathered through a survey instrument from 281 teachers who teach mathematics in a metropolitan city of Korea. Descriptive statistics and multiple regression analyses were conducted to analyze the data. Findings indicate that Korean elementary teachers' change in Instructional practice is based primarily on their judgements regarding the likelihood of occurrences of certain consequences if they engage in teaching mathematics in a reform-oriented way. Teachers' perceptions of important others regarding the reform-oriented mathematics instruction seem to play a minor role in teachers' instructional change. Teachers' perceptions about control factors that prohibit or help teach mathematics in a reform-oriented way do not seem to make significant improvement in predicting their intentions to change traditionally-oriented teaching practice.

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Acoustic Voice Tremor index in the measurement of voice tremor: Development and validation (음성 떨림 측정을 위한 AVTI(Acoustic Voice Tremor index)의 개발과 검증)

  • Geun-Hyo Kim;Yeon-Woo Lee
    • Phonetics and Speech Sciences
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    • v.16 no.2
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    • pp.91-97
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    • 2024
  • The aim of this study was to develop and validate the Acoustic Voice Tremor index (AVTI) for the acoustic measurement of voice tremor. A total of 71 normal adults and 41 patients with voice tremor participated in the study. Vowels /a/ were recorded for at least five seconds. Three seconds of vowel stable duration were edited to identify measures of 18 variables related to voice tremor using a Praat script. These variables and the overall severity (OS) of auditory-perceptual assessment were used to design the AVTI using linear regression analysis. The linear regression analysis identified four out of the 18 variables as significant, and a regression equation was constructed. Furthermore, internal and external validity studies demonstrated high correlations, with an average of over 0.8. The AVTI demonstrated a high correlation of 0.841 with OS. The AVTI was found to be capable of predicting voice tremor. Further studies should include a larger number of voice samples and a complementary Praat script for further analysis.

A Nonlinear Structural Analysis for a Composite Structure Composed of Spent Nuclear Fuel Disposal Canister and Bentonite Buffer: Symmetric Rock Movement (고준위폐기물 처분용기와 벤토나이트 버퍼로 이루어진 복합구조물에 대한 비선형 구조해석: 대칭 암반 전단력)

  • 권영주;최석호;최종원
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.16 no.4
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    • pp.369-376
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    • 2003
  • In this paper, a nonlinear structural analysis for the composite structure composed of the spent nuclear fuel disposal canister and the 50㎝ thick bentonite buffer is carried out to predict the collapse of the canister while the horizontal symmetric sudden rock movement of 10㎝ is applied on the composite structure. This sudden rock movement is anticipated by the earthquake etc. at a deep underground. Elastoplastic material model is adopted. Drucket-Prager yield criterion is used for the material yield prediction of the bentonite buffer and von-Mises yield criterion is used for the material yield prediction of the canister(cast iron, copper). Analysis results show that even though very large deformations occur beyond the yield point in the bentonite buffet, the canister structure still endures elastic small strains and stresses below the yield strength. Hence, the 50㎝ thick bentonite buffet can protect the canister safely against the 10㎝ sudden rock movement by earthquake etc.. Analysis results also show that bending deformations occur in the canister structure due to the shear deformation of the bentonite buffer.

Student-, School-, and ICT-Factors Predicting Computer-based Collaborative Problem Solving: Focusing on Analyses of Multi-level Models (컴퓨터 기반의 협력적 문제해결력 성취를 예측하는 학생과 학교 및 ICT 요인 : 다층모형 분석을 중심으로)

  • Lim, Hyo Jin;Lee, Soon Young
    • Journal of The Korean Association of Information Education
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    • v.22 no.4
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    • pp.457-471
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    • 2018
  • This study examined student- and school-level background and ICT factors that affected PISA 2015 Collaborative Problem Solving (CPS) for Korean students (4863 students from 142 high schools). A two-level hierarchical linear model (HLM) was analyzed from the basic model (model 1) with no predictors to the final model (model 5) with all predictors. Results showed that first, gender, socioeconomic/cultural backgrounds, cooperation level positively predicted CPS scores while perceived unfairness of teacher negatively predicted the outcome. Second, the more frequently ICT was used for out-of-school learning purposes, the less frequently ICT was used for entertainment purposes, and the less frequently ICT was used in schools, the higher CPS scores were. Considering ICT autonomy and social interaction variables measured for the first time in PISA 2015, students who were more interested in ICT and more autonomous in using ICT devices achieved higher CPS scores. On the other hand, the more students considered ICT important as social interaction, the less they gained CPS scores. Third, in terms of school-level characteristics, the smaller the students behavior detrimental to learning, the higher the teachers perceived positive working environment, and the fewer the number of computers available per student, the higher CPS scores were. To facilitate computer-based collaborative problem-solving competence, it is important for students to have interest and autonomy in using ICT. In addition, the guidelines of ICT use and SW curriculum need to be established in order to increase the effectiveness of using ICT device in school.