The objective of the present study is to systematically examine the effects of on the cognitive and affective domains of elementary, middle, and high school students by conducting a meta-analysis. To this end, this study selected 31 research papers that had analyzed the effects of applying, and performed a meta-analysis of the findings presented in each research paper. The results obtained from the meta-analysis are presented as follows. First, both the collaborative learning program and the peer tutoring program for underachieving students in math manifested an above average size of effect in the cognitive domain. In particular, the effect was the greatest at the elementary school level, and out of the two programs, peer tutoring was identified to have a sizable effect. Second, both programs displayed an above average size of effect in the affective domain, and peer tutoring was identified to have a higher effect than collaborative learning. In addition, when the programs were compared based on school levels, the size of effect was highest at the elementary school level followed by middle school and high school, in that order. When compared based on the criteria of the affective domain, self-efficacy in math, learners' attitude toward math, and learners' interest in math were identified to. Finally, this study presented suggestions for teaching underachieving students in math and conducting follow-up studies based on the analysis results.
Vaccination is the most powerful and useful preparation against infectious diseases. However, developing vaccines costs a lot and requires extensive long-term efforts. Therefore, the government should research and develop vaccines with a national-level policy. To greatly enhance the success rate of vaccine development, the policy should be set up considering priorities such as the current status of domestic research, the importance for public health, the urgency of research. The Delphi technique was utilized to draft this survey, through a brainstorming stage, then two inquiries, and finally the final panel meeting where unresolved items were discussed, to draw the conclusion. Among the results, firstly, the highest ranked item on centralized fields for vaccine development by the Ministry of Health was 'self-sufficiency of vaccines.' Secondly, 'emerging infectious disease' was most highly ranked in prioritized fields of vaccine development and research. Thirdly, for the vaccine that needs to be improved and developed further by the government to improve its efficacy and safety, BCG (Bacille de Calmette) for tuberculosis was ranked the highest on both types (intradermal and subcutaneous injection) from National Immunization Programme (NIP) and non-NIP. As for the high risk pathogens, 'anthrax' and 'smallpox' were first and second, consecutively. Lastly, 'development and control of vaccine candidates' was ranked the highest for the area in need for technique development in order to improve domestic vaccine's research level. The results of this study will be put to good use as basic data for the national vaccine research and development (R&D) policy of the country. This study was first step and more studies should be carried out for the final decision of the national vaccine R&D priority.
The purpose of this study is to identify the relationships between AI education characteristics and psychological capital, psychological capital and flow, AI characteristics and flow through meditating effect of psychological capital in the digital convergence society. There are three AI characteristics: correctness, usefulness, easy of use. This empirical study was examined by 282 questionnaires to the three universities that teach accounting information system. It was performed by three-step method of the hierarchical regression analysis for the multiple regression analysis and parameter using the SPSS 22.0. The results and implications by analysis are as follows. First, AI characteristics and psychological capital have statistically significant positive influence. From AI attribute, correctness was established as the most important element. Second, psychological capital positively(+) influences flow. It allowed for the developed in flow. Third, psychological capital was shown as the major meditative variable between AI characteristics and flow. Through these, this paper suggests to reinforce self-efficacy, hope, resilience, optimism.
The principal objective of this study was to develop a scanning technique that helps patients reduce their anxiety and relax their physical tension in the MRI system. The study targeted 10 healthy persons with no medical history of anxiety disorder in the past and with no current clinically diagnosed anxiety disorder, as well as 10 patients who were currently experiencing an anxiety disorder during the MRI scanning. The focusing board assembly was self-manufactured to conduct a clinical experiment via MRI scans. As a method to confirm the efficacy of the experiment, the bio meter was used to measure brainwaves from the study targets that were divided into the normal person group (A), who felt no anxiety in the MRI system and the experimental group, (B) who did experience anxiety in the MRI system. The two groups were compared between the cases in which the focusing board assembly was used and not used after measurements were conducted using the model MRI system and the bio meter. According to the comparison and analysis results, low measurements of the ${\alpha}$ wave indicate highly effective relaxation of tension. In the normal person group, the ${\alpha}$ wave measurement showed almost no difference between cases in which the focusing board assembly was used and cases in which it was not used. In the experimental group, the $\acute{a}$ wave measurements were lower in cases in which the focusing board assembly was used than in cases in which the focusing board assembly was not used; this was indicative of a profound relaxation effect.
The purpose of this study is to investigate the longitudinal impact of the engagement of private tutoring on student achievement and the influence of the engagement of gifted education on the effect of private tutoring by applying hierarchical linear growth modeling technique on the KELS (Korean Education Longitudinal Study) data. For the analysis, we used KELS data including the score of Mathematics achievement from 2005 to 2007 in order to get useful variables like whether or not to engage private tutoring, weekly time and monthly cost of private tutoring, the experience of gifted education, gender, prior achievement of 6th grade, parents' monthly income, internal motivation and self-efficacy. The sample consisted of 4,435 7th graders from Korean middle schools who were included in the KELS and have the data available to a significant dataset having no missing values include. The result suggest that the private tutoring experience predicted students' high Mathematics achievement and the interaction between grade and private tutoring time and cost has negative impact on the mathematics achievement. In contrast, it was found that the experience of gifted education has negative impact on the growth of mathematics achievement, but positive impact on the effect of private tutoring cost on the mathematics achievement. In other words, the experience of gifted education shows affirmative impact on the effect of private tutoring cost on the mathematics achievement indirectly. On the basis of this results, we discussed deeply the effect of private tutoring on the Mathematics achievement and the influence and its meaning of the experience of gifted education on the effect of private tutoring.
Journal of Korean Home Economics Education Association
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v.32
no.1
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pp.127-143
/
2020
The purpose of this study is to develop the clothing safety teaching/learning plan in Home Economics based on the health belief model and to examine the effects of the course using the developed teaching/learning plan on the health belief. Based on ADDIE model, 6 clothing safety teaching/learning plans were developed by applying the health belief model. They consisted of three learning factors of 'harmful substances that can be exposed during the production, wear, wash, and storage of clothes and textile products', 'environment friendly fibers' and 'natural detergents'. Then they were implemented on 7 classes in middle school located in Gyeonggi-do Province from August 20 to September 7 in 2018. The health beliefs data collected before and after the course were analyzed with paired t-test with SPSS/win. As a result, the perceived threat(combination of perceived severity and perceived susceptibility), the perceived benefit, and the self-efficacy were significantly improved. And the perceived barrier was significantly reduced. In conclusion, the home economics clothing safety education course using the health belief model was meaningful as the safety education to enable middle school students to practice safe clothing life from harmful substances. The results of this study are expected to be helpful for activating safety education in home economics.
The purpose of this study is to empirically identify the process of technology acceptance of the metaverse, a virtual world-based platform that has attracted attention due to the 4th industrial revolution and the COVID-19 pandemic. The technology acceptance model (TAM) was used to identify factors affecting the use of the metaverse platforms and to analyze the causal relationship among these factors. For research, a survey was conducted on ordinary adult men and women and was analyzed using a structural equation model. The study found that perceived pleasure, interactivity, self-efficacy, and social influence had a positive effect on perceived ease-of-use. Interactivity and social influence had a statistically significant effect on perceived usefulness. The relationship between perceived ease-of-use and perceived usefulness was not statistically significant, but both perceived ease-of-use and perceived usefulness had a significant effect on positively forming attitudes toward metaverse. Lastly, favorable attitudes toward the metaverse platform had a positive effect on the intention to continue using it. Through this study, it was possible to identify the factors affecting the intention to use the metaverse and to confirm the causal relationship between the factors. A deeper understanding of users may be obtained in future if the research subject can be expanded and investigated with various factors.
The purpose of this research is to investigate the psychological factors affecting job performance of public enterprise employee. Based on the literature review, three types of job performance are identified, which are behavioral responses to the demands from job environment. They are named as task performance, contextual performance, and adaptive performance. As independent variables, four factors were selected form positive psychological concepts, which are self-efficacy, hope, optimism, and resilience. These are the factors which compose of the concept of psychological capital. All the factors are hypothesized to positively affect job performances. From the regression analysis results, all the psychological factors in the model were turned out to have statistically significant impacts on the job performances. The importance of variable 'resilience' were dominant all three models, which might be interpreted as a behavioral response to the demands from uncertain organizational enviornments. From the marginal effect analysis, contextual performance decreases first five years, then reach peak at 20th. year. These results demonstrates that mid-level employees in the organizational hierarchy are more concerned with the overall performance of organization.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.2
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pp.394-403
/
2019
This research focuses on the perception of security screeners using a full body scanner at airport which had been newly introduced to terminal 2 of Incheon Int'l airport. To accomplish the purpose of research, this paper used UTAUT (Unified Theory of Acceptance and Use of Technology) model. Through an empirical analysis, it was proven the factors consisting of technological acceptance and how those factors affect both organizational innovation at airport and job satisfaction of security screeners. According to an empirical analysis, it was found out all the factors of technological acceptance have a significant effect on both organizational innovation and job satisfaction. However, only the effort expectation was shown to have a significant negative effect on the two dependant variables contrary to the other variables (performance expectation, behavioral intention and self efficacy. It was also proven organizational innovation had a moderating effect between technological acceptance and job satisfaction. Such results suggested organizational innovation at airport security division is necessary to enhance job satisfaction using a newly introduced full body scanner.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.16
no.1
/
pp.139-146
/
2021
This study studied the network between positive psychology capital, intention of start-up, and start-up behavior for learners who are willing to start a business. The research targets were intended to study the impact of the connection relationship between each variable, targeting nail art certification learners who are willing to start their own businesses. For this study, the measurement variables of positive psychology capital, intention of start-up, and start-up behavior were set, and the collected data were analyzed for connection-centeredness and eigenvector after data collection. The findings are as follows. First, some variables affecting the intention of start-up showed optimism, resilience and hope of positive psychology capital. Second, the intention to start a business was shown to have a significant impact on the behavior of start-ups, which, unlike the preceding study, appeared to be almost outside the network structure, showing that the behavior of start-ups was not significantly affected by other variables. Third, it is important to increase self-efficacy in positive psychological capital in order to increase the behavior of start-ups. Fourth, the analysis of the eigenvactor among positive psychology capital, intention of start-up, and start-up behavior showed optimism as some of the most central variables. In other words, prospective start-ups were found to be aware of the hardships and expected positive results in the future. The implications of this study, along with the intention and behavior of prospective entrepreneurs, are important factors in positive psychology capital, and suggest the importance of various educational programs that can be enhanced by positive psychology capital in start-up education or training programs and what should be taught. In addition, this study analyzed the network by approaching it from the perspective of positive psychology capital of prospective entrepreneurs in order to enhance the effectiveness of support programs for start-ups by the government, public institutions or universities in the future.
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