• Journal of Fisheries and Marine Sciences Education
• /
• v.23 no.1
• /
• pp.116-125
• /
• 2011

In this study, a survey research was conducted on government employees in Busan Metropolitan City to identify the influence of cyber education factors (learning factor, learner factor, and learning system factor) on the preference for government employee cyber education offered by the government always learning system. Analyzed results, recognition of learning factor, learner factor, and always learning system were shown to have significant influence on the preference for cyber education, but no indication of influence by always learning support. This study intends to assist stimulating voluntary participation in cyber education and active commitment in learning activities through improving learning effect and fortifying convenient informatization education, with regard to activation of cyber education and improved preference for cyber education.

• Culinary science and hospitality research
• /
• v.14 no.3
• /
• pp.156-164
• /
• 2008

This study analyzed the effect of the environment of cooking education institutes on students' study satisfaction and re-registration in Busan, in order to provide those students with good education environment and useful information. The survey was conducted from March 25th to April 11th, 2008. 300 copies of the questionnaire were distributed and 293 copies were returned, among which 270 copies(unsuitable 23 copies were excluded from the analysis) were included as reliable statistical data for analysis. To figure out the result, frequency analysis, reliability verification(Cronbach's Alph), factor analysis and regression analysis were employed in this study. Analyzed factors included cooking environment factor, education service factor, additional factor and lecturer's attitude factor. For the regression analysis to find out the effect of cooking education environment factor on study satisfaction and re-registration, it was found that cooking environment factor, education service factor, additional factor and lecturer's attitude factor had significant effect on study satisfaction and re-registration, which meant that the assumptions 1, 2, 3, 4 and 5 were adopted in this analysis. For the regression analysis to find out the effect of the satisfaction for the environment of cooking education institutes on re-registration, it was found that study satisfaction had significant effects on re-registration and the assumption 6 was adopted. Through this study, it was suggested that the satisfaction and re-registration of cooking education institutes were influenced by all factors, especially for cooking environment and education service. Thus, it is necessary to improve the old environment for cooking education and cooking education programs. Also, continuous study should be conducted to secure potential customers in the future.

• Research in Mathematical Education
• /
• v.26 no.4
• /
• pp.333-349
• /
• 2023

Recently, AI has become a crucial tool in mathematics education due to advances in machine learning and deep learning. Considering the importance of AI, examining teachers' beliefs about AI in mathematics education (AIME) is crucial, as these beliefs affect their instruction and student learning experiences. The present study developed a scale to measure preservice teachers' (PST) beliefs about AIME through factor analysis and rigorous reliability and validity analyses. The study analyzed 202 PST's data and developed a scale comprising three factors and 11 items. The first factor gauges PSTs' beliefs regarding their roles in using AI for mathematics education (4 items), the second factor assesses PSTs' beliefs about using AI for mathematics teaching (3 items), and the third factor explores PSTs' beliefs about AI for mathematics learning (4 items). Moreover, the outcomes of confirmatory factor analysis affirm that the three-factor model outperforms other models (a one-factor or a two-factor model). These findings are in line with previous scales examining mathematics teacher beliefs, reinforcing the notion that such beliefs are multifaceted and developed through diverse experiences. Descriptive analysis reveals that overall PSTs exhibit positive beliefs about AIME. However, they show relatively lower levels of beliefs about their roles in using AI for mathematics education. Practical and theoretical implications are discussed.

• Research in Community and Public Health Nursing
• /
• v.19 no.2
• /
• pp.247-259
• /
• 2008

Purpose: This study was conducted to develop a teacher-efficacy scale which is adequate for heath education teachers. Method: A preliminary questionnaire was made based on the hypothetical factors. A total of 364 health education teachers answered to the preliminary test, and the potential factors of teacher-efficacy were checked out by exploratory factor analysis (EFA). In the main test 378 health education teachers answered, the factor structure was drawn by EFA, and confirmatory factor analysis (CFA) was conducted to test and the fitness of the factor model. Results: Through the preliminary test, 5 potential factors were found, which were instruction, health-service, administrative task, interpersonal relationship, and community connection. Also, 48 items were reduced to 31 items. Through the main test, from the 34 items were extracted 4 factors with 24 items, And then teacher-efficacy scale was developed, which included the subscales of instruction efficacy, health-service efficacy, task-interpersonal efficacy, and community connection efficacy. Conclusion: Different from that for other subject teachers, the factor structure for health teachers had 4 factors with 24 items. The scale developed in this study is consistent with health teachers' work areas, and for this reason, has significance as a adequate and valid scale to measure teacher-efficacy of health education teachers.

• Korean Journal of Applied Biomechanics
• /
• v.25 no.1
• /
• pp.11-19
• /
• 2015

Objective : The purpose of this study was to analyze the correlation between physical factors (X-factor, X-factor stretch) and club factors (club speed, ball speed, club path, smash factor, vertical launch angle, spin rate, flight time, total length) during impact and it affect on the total distance of the ball during a golf driver swing. Background : There were not enough studies that analyzed the correlation between physical factors(X-factor, X-factor stretch) and club factors(club speed, ball speed, club path, smash factor, launch angle, spin rate, flight time, total length) during a purpose swing to increase total distance. Method : For this study, 9 right handed professional male golfers (KPGA) were chosen. The test subject group used their own drivers and each took a total of 10 swings. These swings consisted of 5 purpose swings to increase total distance and 5 normal swings. Results : The purpose swing to increase total distance showed larger physical factors(X-factor, X-factor stretch) compared to a normal swing however the results were not statistically significant. Total distance increased during a purpose swing as a result of ball and club speed. Conclusion : The results showed that club factors, ball speed and club speed contributed the most in affecting the total distance of the ball during a purpose swing.

• Journal of Information Processing Systems
• /
• v.2 no.3 s.4
• /
• pp.178-182
• /
• 2006

Children exhibit different behaviors, skills, and motivations. The main aim of this research was to investigate children's sensibility factors for icons, and to look for the best typeface for application to Web-Based Instruction (WBI) for e-Learning. Three types of icons were used to assess children's sensibilities toward metaphors: text-image, representational, and spatial mapping. Through the factor analysis, we found that children exhibited more diverse reactions to the text-image and representational types of icons than to the spatial mapping type of icons. Children commonly showedn higher sensibilities to the aesthetic-factor than to the familiarity-factor or the brevity-factor. In addition, we propose a collaborative-typeface system, which recommends the best typeface for children regarding the readability and aesthetic factor in WBI. Based on these results, we venture some suggestions on icon design and typeface selection for e-Learning.

• Journal of Korean Elementary Science Education
• /
• v.37 no.1
• /
• pp.1-11
• /
• 2018

Factors and causal structures of pre-service elementary teachers about the critical thinking and the scientific literacy competency were investigated in this study. The third grade university students and the first grade university students in the metropolitan city participated in this study. The factor analysis method and the structural equation modeling method were used for the data analysis, and the following results were obtained. First, the third grade university students and the first grade university students recognized 'inquisitive thinking' factor and 'reflective thinking' factor as factors of the critical thinking, and 'scientific explanation' factor and 'evidence-based conclusion' factor as factors of the scientific literacy competency respectively. Second, the third grade university students showed more the influence from 'reflective thinking' factor to 'scientific explanation' factor and from 'reflective thinking' factor to 'evidence-based conclusion' factor than the first grade university students.

• Journal of The Korean Association For Science Education
• /
• v.15 no.4
• /
• pp.394-403
• /
• 1995

The purpose of this study was to find out and analyze the science teacher's teaching methods. A total of 35 teaching methods were abstracted from the previous studies and the relating literatures. An instrument to measure the frequencies of using methods was developed and then tested to middle school science teachers. The Results of two factor analysis methods were compared. The results are as follows: The instruments's reliablity coefficient(Cronbach ${\alpha}$) was 0.7707. The teaching methods which middle school science teachers have used frequently were represented as the proposing of the learning objectives, the deductive teaching, the experimental activities by teacher's guide, the summarization after explanation, the reading text etc. Also, it was revealed that they have not use the diagnostic evaluation, the formative evaluation, the experimental activities by student's design, the instructional medium. By confirmatory factor analysis, the 1st factor included 13 teaching methods and 2nd and 3rd factor included 9 and 7 methods respectedly. The meaning of 1st factor was interpreted to stimulate student's learning motives. And the other's were about the development of instruction. In exploratory factor analysis factors were overlapped or more fined. These were due to the structure of factors.

• Korean Journal of Health Education and Promotion
• /
• v.4 no.1
• /
• pp.65-75
• /
• 1987

This study was conducted (i) to recommend the high-scored education method as a adaptable method, and (ii) to find the most influential factor among the three acceptability components (feasibility factor, stimulation factor and reliability factor) to urban or rural residents. The accept-ability score of each health education method currently existing in urban and rural area was estimated. A total of 257 households in Guro 6-dong, Seoul, and 233 households in Jeomdong-myeon, Yeoju-gun, were sampled by interview survey using questionnaire. The four types of health education methods used in this study are; printed matter method, mailing service method. personal contact method, and group contact method. The major findings obtained from this research are as follows; 1) In urban area, the highest-scored in terms of acceptability is the personal contact method, followed by the mailing service, the printed matter, and the group contact. The mailing service method is found to be effective especially for the intelligent group people. 2) In rural area, the highest-scored in terms of acceptability is also the personal contact method, followed by the group contact, and printed matter method. In general, the group contact method is effective toward both urban-poor and rural housewives (especially in stimulation factor). To improve the health consciousness of the residents, there arises the need for the existing education program into better organized and diversified one and for educating health-educators by providing in-depth health knowledge.

• Health Policy and Management
• /
• v.4 no.2
• /
• pp.58-76
• /
• 1994

In order to study factors affecting the use of the ambulatory physician services. Andersen's model for health utilization was modified by adding the health behavior component and examined with three different approaches. Three different approaches were the multiople regression model, logistic regression model, and LISREL model. For multiple regression, dependent variable was reported illness-related visits to a physician during past one year and independent variables are variaous variables measuring predisposing factor, enabling factor, need factor and health behavior. For the logistic regression, dependent variable was visit or no-visit to a physician during past one year and independent variables were same as the multiple regression analysis. For the LISREL, five endogenous variables of health utiliztion, predisposing factor, enabling factor, need factor, and health behavior and 20 exogeneous variables which measures five endogenous variables were used. According to the multiple regression analysis, chronic illness, health status, perceived health status of the need factor; residence, sex, age, marital status, education of the predisposing factor ; health insurance, usual source for medical care of enabling factor were the siginificant exploratory variables for the health utilization. Out of the logistic regression analysis, health status, chronic illness, residence, marital status, education, drinking, use of health aid were found to be significant exploratory variables. From LISREL, need factor affect utilization most following by predisposing factor, enabling factor and health behavior. For LISREL model, age, education, and residence for predisposing factor; health status, chronic illess, and perceived health status for need factor; medical insurance for enabling factor; and doing any kind of health behavior for the health behavior were found as the significant observed variables for each theoretical variables.