• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.341-350
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• 2019

This research study was conducted to investigate the effect of knowledge, attitude and nursing professionalism on the confidence of the performance of nursing students who had experience with clinical practice and also to provide basic data for the development of nursing students' curriculum. The subjects who participated in this study were 286 students in the 4th year of nursing at two colleges in the Daegu and Gyeongbuk regions. The research data was analyzed using the SPSS 22.0 program. Confidence in performance of patient safety was higher for the women than for men, and for the students of an older age and higher academic achievement. Confidence in performance of patient safety was positively related to knowledge (r=.25, p=.000), attitude (r=.39, p=.000), nursing professionalism (r=.33, p=.000) and all these had statistical significance. On the multiple regression analysis, the coefficient of determination ($R^2$) was .49 and the explanatory power of the model was 49.2% (F=24.04, p=.000). The most important factor affecting confidence in performance of patient safety was the experience of having undergone patient safety education. Based on these results, it is necessary to seek various educational methods to expand the concept of patient safety from the beginning of the undergraduate course work. Especially, we think that various education strategies such as simulation education methods or information videos are needed to develop scenarios related to patient safety.

• Journal of Families and Better Life
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• v.7 no.2
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• pp.1-13
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• 1989

The purpose of this stud is : (1) to figure out the amount of time being usually spent on the housework performed by the employed wives and (2) to find out factors influencing the total and the specified housework time. The major findings are the following : 1) A employed wife spends 374 minutes(6.2 hours) on the average a day on the housework. Compared with research results of the past, this shows little difference, and less 157 minutes than full time homeworker. Time connected with meals is 123minutes, clothing (68), management and marketing(64), family care(61), and housing care(58). 2) Family environment variables (the wife's education level, wife's employment status, income, young child's age and presence of employed housekeeper) significantly differentiates the housework time. In general, a wife with higher SES level spends less time for housework except family care. 3) Housework related variables (planning, preference, performance competency, and performance stand rd) significantly differentiate the specified houseworks. High planning, preference, and performance competency do not necessarily diminish the housework time except routine houseworks. High performance standard causes her to spend more time. 4) A wife' sex-role attitudes and a husbands attitudes perceived are more traditional, she spends more time.

• Journal of Information Processing Systems
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• v.19 no.4
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• pp.554-562
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• 2023

This research offers a sports video action recognition approach based on the fish swarm algorithm in light of the low accuracy of existing sports video action recognition methods. A modified fish swarm algorithm is proposed to construct invariant features and decrease the dimension of features. Based on this algorithm, local features and global features can be classified. The experimental findings on the typical sports action data set demonstrate that the key details of sports action can be successfully retained by the dimensionality-reduced fusion invariant characteristics. According to this research, the average recognition time of the proposed method for walking, running, squatting, sitting, and bending is less than 326 seconds, and the average recognition rate is higher than 94%. This proves that this method can significantly improve the performance and efficiency of online sports video motion recognition.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.453-461
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• 2021

This study aims to study the effect of service quality of lifelong education in culture and arts on educational satisfaction, intention to continuous use and performance. The service quality of culture and art lifelong education was divided into three dimensions: education quality, administrative quality, and environmental quality. As detailed factors related to quality, six variables were set based on SERVQUAL: convenience, expertise, responsiveness, supportability, empathy, and tangibility. For this study, data were collected from 310 people taking cultural arts lectures at lifelong educational institutions in Seoul, Daegu, and Gumi. Since it was only for lectures related to culture and arts, a total of 256 materials were used for the study, excluding inappropriate materials. A structured questionnaire was used as a data collection method, and a structural model analysis was conducted to verify the hypothesis. As a result of this study, responsiveness among the service quality factors of lifelong education for culture and arts was rejected. In addition, the higher the satisfaction with the culture and art lifelong education institution, the higher the performance and the intention to continue using it. The theoretical and practical implications of this study result were discussed, and future research tasks were presented.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.667-673
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• 2021

This causal quantitative research aims to investigate the influence of factors that determine the performance of employees in Indonesian universities. The factors are crucial for organizations in the achievement of their goals. Based on theoretical studies, three independent variables, namely, training, personality, and work motivation were tested for their influence on employee performance, which was the dependent variable. Primary data were obtained from 94 respondents of a total population of 122 individuals at the Education Quality Assurance Institute (LPMP) in Banten Province, Indonesia. They were tested by the normality test using the Kolmogorov-Smirnov approach to ensure their normally distributed population and the linearity test to measure the significant linear relationship between the two variables. There are five hypotheses in this study. Each hypothesis tested by the F-test to determine the significant effect of all independent variables on the dependent variable, and t-test to analyze the effect. The results of this study answered all hypotheses of the research model. There is a positive direct effect of training and personality on work motivation. Both training and personality also affect positively employee performance. Another finding of this study is that employee performance is positively and directly affected by work motivation.

• Journal of Industrial Convergence
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• v.20 no.3
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• pp.11-21
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• 2022

The purpose of this study is to provide fundamental background to improve the quality of teaching and learning performance in online classes by analyzing the students' learning experience aspects on online environment. This study explores the relationship between learning experience and teaching and learning performance according to the online classes types(synchronous/asynchronous class), and identifies the mediation effect of students' perception and attitude toward online classes using Structural Equations Model(SEM). The findings are shown as follows: First, learning experience has positive effect on teaching and learning performance statistically. Second, learning experience has different effect on teaching and learning performance depending on the type of online classes. Specifically, learning experience in synchronous environment has higher influence on teaching and learning performance than in asynchronous environment. On the other hand, perception and attitude toward online classes have greater influence on teaching and learning performance in asynchronous class than in synchronous class. Lastly, the students' perception and attitude toward online classes do not have mediation effects significantly in the relationship between learning experience and teaching and learning performance. The result of this study can be a guide for researcher to approach to teaching and learning performance in online environment of university.

• Korean Medical Education Review
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• v.23 no.2
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• pp.118-127
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• 2021

Due to the coronavirus disease 2019 pandemic, the new norm of online learning has been recognized as core to medical institutions for academic continuity, and students are expected to be motivated and engaged in learning while maintaining distance from other peers and educators. To facilitate students' and educators' newly defined roles in online medical education settings, it is crucial to understand how students are actively motivated and engaged in learning. Hence, this study explored medical students' motivational regulation profiles and examined the effects of motivational regulation strategies (MRS) on cognitive learning and learning engagement for online learning. Data were collected after the end of the first semester in 2020 from a sample of 334 medical students enrolled at a public university school of medicine. Latent profile analysis indicated three subgroups with different motivational regulation profiles: the low-profile, medium-profile, and high-profile groups. Regarding different MRS patterns in the high-profile group, mastery self-talk, performance approach self-talk, and the self-consequating strategy appeared to be most applicable for regulating learners' motivation. Analysis of variance showed that the profile groups with higher levels of MRS use were connected to a higher willingness to use cognitive learning strategies and a higher degree of engagement in online learning. The findings of this study emphasize the use of specific sets of MRS to support learning motivation and the need to design effective self-regulated learning environments in online medical education settings.

• Journal of Engineering Education Research
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• v.22 no.5
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• pp.13-19
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• 2019

It is important to encourage students who are having difficulty learning mathematics and majors due to lack of basic knowledge, and encourage them to improve their academic performance by focusing on and participating in class. The purpose of this study is to confirm the applicability of the Jigsaw Method by analyzing the change of the learner's academic achievement and the attitude of the learner's mathematics by applying the Jigsaw Model. During the four weeks, the Jigsaw Model was applied to 30 experimental students and the instructor-led lectures were given to 36 students in the comparative group. As a result of the study, it was confirmed that the average of the experimental groups applying the Jigsaw model was higher than the average of the comparative group in the lecture class. The results of the survey showed that the Jigsaw Model increased class concentration and participation, helped self - directed learning, and had high learning satisfaction.

• Journal of Engineering Education Research
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• v.23 no.6
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• pp.40-50
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• 2020

This paper proposes learning modules as a kind of integrated instruction model for soft skills program outcomes to enable CEA. Learning modules consist of course learning objectives(outcomes) described in detail, learning content(elements), learning activities(teaching learning methods), evaluation methods, evaluation rubrics so that they can be evaluated based on the performance criteria of the program learning outcomes. The unit of time for the learning module is 50 minutes. If this learning module is applied, it is expected that the soft skill program outcomes can be evaluated in the technical course. As a result of the expert feasibility study, the positive answers were much higher than the negative answers in most of the questions about the composition of the learning module or the method of managing the class.

• Advances in nano research
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• v.16 no.6
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• pp.615-622
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• 2024

This study investigates the impact of educational management on the performance of scholars in the field of nano/micro-level composites. The objective is to understand how effective management strategies can enhance the academic achievements and research outcomes of students specializing in this advanced area of materials science. Through a combination of qualitative and quantitative methodologies, data was collected from various educational institutions renowned for their programs in nano/micro-level composites. Our results indicate that tailored educational management practices significantly improve student performance. Key strategies identified include personalized mentorship programs, interdisciplinary collaboration opportunities, and access to state-of-the-art laboratory facilities. Institutions that implemented these practices observed a marked increase in the quality and quantity of research outputs, higher student satisfaction rates, and improved post-graduation employment prospects in relevant industries. Furthermore, the study highlights the importance of continuous professional development for educators to stay abreast of the latest advancements in nano/micro-level composites. By fostering an environment of innovation and support, educational management can play a crucial role in shaping the next generation of researchers and professionals in this cutting-edge field. These findings underscore the necessity of strategic educational management in optimizing the academic and professional trajectories of scholars in nano/micro-level composites, ultimately contributing to advancements in technology and industry applications.