Trade education methods that combine practical knowledge and on-site job training have significantly contributed in improving abilities of trade experts. For instance, GTEP and LINC have contributed to a substantial expansion of SME export performane. Moreover, students' cooperation experience have led to employment outcomes as SMEs can employ customized trade workers. I have conducted a survey to 100 students about university-industry collaboration. Results show that ICT skills and foreign language ability are the highest required conditions of employment while production and technology knowledge are the lowest. Furthermore, 50 companies operating in foreign markets responded that through industry-university cooperation, capabilities of university graduates have improved and trade education cooperation scheme is a success.
The purpose of this study was to investigate effect of simulation based education using standardized patient for contact precaution infection control for nursing student. This study was conducted by including 67 nursing student A university from October to December 2019. This study was mixed method research design. Knowledge and performance confidence related to multidrug resistant organism(MDRO) infection control were measured using questionnaires pre and post test, analyzed using paired t-test and reflection sheet was analyzed using content analysis method. After intervention, two variables were increased significantly. Results of the content analysis showed there were 39 significant statements, which were classified into 13 categories. These results suggest that education on simulation program using standardized patient for contact precaution infection control is effective strategy to enhance knowledge and performance confidence related to MDRO infection control and practical nursing infection control skill, patient centered care, interprofessional collaboration.
Proceedings of the Korean Institute of Navigation and Port Research Conference
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v.1
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pp.459-464
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2006
It has been well proved that shiphandling simulators are efficient and useful facilities for training and education of cadets and seafarers. Most of the maritime universities and many maritime training institutes all over the world have installed shiphandling simulators, which play important roles in maritime education and training. However, most of the Shiphandling simulators are standalone facilities with diversities on system architectures, layouts and functions. STCW78/95 requires simulators used for simulator-based training shall be suitable for the selected objectives and training tasks. To ensure the shiphandling simulator facilities meet the requirements of STCW convention and other expanded applications, collaborated research and coordination are needed in development and application of shiphandling simulators. Performance standard should be established for shiphandling simulator systems considering the advanced research needs as well as the needs in education, training, and assessment of competence. Standardizing and exchanging shiphandling mathematical models will improve critical performance of the system. Cooperated research on model course and training assessment approaches will enhance the training standard. In addition, the rapid spread of the internet technology has shown a promising future of application of shiphandling simulators through internet. Research has been carried out on internet based integration of multiple shiphandling simulators. A multi-agent based system, including necessary hardware, has been developed. Collaborated operation of the system can be of benefit in filling the gaps of the technical and operational level and methodology between maritime universities, enhancing mutual understanding of the navigation customs and culture background among cadets and seafarers from different countries, facilitating communication and maritime English training, and extending the functions of shiphandling simulators.
Pak, Myeong Suk;Kim, Kyu Tae;Koo, Mo Se;Ko, Young Jun;Kim, Sang Hoon
KIPS Transactions on Software and Data Engineering
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v.11
no.5
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pp.221-228
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2022
With the application of artificial intelligence technology, robots can provide efficient services in real life. Unlike industrial manipulators that do simple repetitive work, this study presented design methods of 6 degree of freedom robot arm and intelligent object search and movement methods for use alone or in collaboration with no place restrictions in the service robot field and verified performance. Using a depth camera and deep learning in the ROS environment of the embedded board included in the robot arm, the robot arm detects objects and moves to the object area through inverse kinematics analysis. In addition, when contacting an object, it was possible to accurately hold and move the object through the analysis of the force sensor value. To verify the performance of the manufactured robot arm, experiments were conducted on accurate positioning of objects through deep learning and image processing, motor control, and object separation, and finally robot arm was tested to separate various cups commonly used in cafes to check whether they actually operate.
Background: Dental hygienists undergo 3 or 4 years of college education, and dental hygienist education must receive continuous feedback through evaluation. The purpose of this study was to compare the educational performance of students from the Department of Dental Hygiene in 2018 with those from other departments in the healthcare field. Methods: We used data from the National Assessment of Student Engagement in Learning, conducted by the Korean Educational Development Institute in 2018. The survey data of 55 dental hygiene students and 60 healthcare students at K University were provided after excluding all identifying information. An independent t-test was used for comparisons between the Department of Dental Hygiene and other healthcare departments. Results: Regarding class-related activities, dental hygiene students were passive in presentations, discussions, and projects and had significantly lower grades in cooperative learning and challenging learning. Regarding extra-class activities, dental hygiene students had significantly lower global learning and external experiences, domestic experiences, club activities, and interactions with professors. Regarding learning outcomes, students had significantly lower grades in writing, speaking, critical and analytical thinking, data evaluation, understanding of data meaning, problem-solving ability, goal setting and execution, core content extraction, human and material resource utilization, creative convergence thinking, statistical understanding and analysis, information technology use, collaboration, sense of community, stress management, time management, and foreign language proficiency. Conclusions: Dental hygiene education requires innovation in educational methods and efforts of instructors to improve poor learning activities and outcomes.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.18
no.4
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pp.149-163
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2023
The policy of promoting innovation clusters aims to enhance the competitiveness of industries by strengthening the linkages between industry sectors and research sectors in specific regions. In Korea, after the concept of innovation clusters was introduced by the OECD in 1997, Korean government actively pursued policies based on this concept in the fields of industry, region, and science and technology. Previous policies and research on the activation of innovation clusters have tended to focus on the exchange and collaboration among members. However, this study focused on enhancing the competitiveness of industries and regions, in other words, strengthening the competitiveness of companies, which is the fundamental reason for fostering innovative clusters. Accordingly, this study aimed to analyze the impact of factors activating innovation clusters on the business performance of SMEs located in the Daedeok Innopolis. To achieve this, based on the essential concept of innovation clusters such as industrial agglomeration factors, networking factors, innovation generation factors, the study derived factors for activating innovation clusters and verified hypotheses using the survey results of 175 companies. Among the factors activating innovation clusters, industrial agglomeration and innovation generation were found to have a positive impact on the business performance of companies. However, networking factors were analyzed to have no significant influence on the business performance of companies. This study differentiates itself by addressing the factors for activating innovation clusters through empirical analysis, unlike previous case-based studies. Furthermore, considering the difference between intuitive judgments on networking factors in innovation clusters and their actual impact on business performance, the study raised the practical significance of conducting a comprehensive examination from various perspectives, such as the socially and culturally embedded structures in the region, the characteristics of specialized industries, and the needs of cluster members, to develop more effective policies for innovation clusters.
Inyong Choi;Hwa Kyung Kim;In Woo Chung;Min Ho Song
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 purpose of this study to empirically examine a smart work investment and job performance by change resistance. Firstly, There investigates mediating role of the communication between the smart work investment and the job performance. Secondly, It will identify the job productivity differences through a level of organizational change resistance that reduced smart work investment. The smart work is to provide the flexibility of time and location and is a working method to improve a work productivity of organization members. The introduction of smart work means the adoption of new organizational culture, institution and technology and requires a novel change of a custom and pattern on existing organization culture and institution because of transformation form of communication and collaboration. The method of this study adopts a structural equation model to test a mediating effect of communication and a moderating effect of change resistance level. This model confirms whether smart work investments provide a positive impact on communication and organizational productivity. In addition, I will classify a change resistance level of smart work by cluster analysis and then check a critical path difference of job productivity between each group. As a result, The organizational IT, institution and culture on the smart work investment appeared to important influencers in communication and also had a direct influence of individual performance. Also, The three independent variables of smart work investment have an indirect influence of individual and organizational performance through communication mediating variables. However, the organizational IT and institution as independent variables do not provide direct influence of organization performance. Nevertheless, two independent variables of organizational IT and institution have an indirect influence the organization performance through communication mediating variables. As a result of confirming a productivity of three groups on organization resistance, there was a difference the individual and organizational performance among groups. The low-level group of organizational resistance showed high coefficient value of performance compared to other groups. The group analysis implications, The smart work investment appeared significantly to revise the institution first, build culture secondly and advanced technology lastly. The theoretical implication from this study contributes an extension of social science theory through socio-technical systems, institution, culture, change resistance and job performance based on smart work. The practical implications explain the smart work success in step-by-step investment rather than radical investment as level management of change resistance. In future research, the smart work performance between private and public firms will analyze a difference of the organizational culture, institution, technology and performance.
Journal of the Korean Society for information Management
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v.34
no.3
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pp.229-249
/
2017
Open science projects are being actively carried out globally. Publishing the results of public research (publications and data) in digital format and enhancing access to these materials are getting more important. Various research support tools are being used to support open research, open access, open data, open peer review and open research performance evaluation. We analyzed research support services to prepare open science movement in Korea. Korea is not ready for research data management and research collaboration except open access and institutional repositories. It can be seen as an urgent matter to analyze these international open science research support services carefully and reflect them in research support policy and service guideline.
Purpose - After the transition, the development of defense industry in Eastern Europe has been regressed. Recently, they have internationally recognized that new products have been exported and contributed to the Innovation-Based Manufacturing of national economy such as unmanned reconnaissance aircraft, water purification technology, and mobile chemical laboratory, etc. The military forces in Eastern Europe are re-armed by the localization of self-produced munitions in their own defense industry, and then emphasize fostering their own defense industry. Thus, if they make a collaboration with other nations as a industrial cluster, it will gain a competitive edge on the defense industry. Research design, data, and methodology - The study was designed with the data of each national defense department. The research of the subject was reviewed before and after the transition. Thousands of workers have worked in defense industries before the transition, however, the defense industry and experts left after the transition. The Hungarian defense spending on GDP also dropped sharply from 1.72% in 2000 to 0.85% in 2013. But, due to the crisis in Ukraine and the crisis of Syrian refugees, the Viségrad Group (V4) member countries have also increased their interest in a defense and industries as well as the confidence in the EU and NATO. Results - On the whole, the joint of military training and purchase of defense materials were found in order to form the EU cooperative combat troops in CEE. There are the implementation of a joint manual plan for strengthening V4 security policy and the joint military exercises for V4 every year, and the others are electronic warfare and innovation of V4 national forces. Through such a performance analysis methodology, we found that the defense industry is developed through the national cluster cooperation among CEEs and spreading global distribution. Conclusions - Eastern Europe and Balkan countries have been looking forward to cooperating with the non-EU countries such as Korea and other defense industries. There are a lot of potential development into a new civilian cooperation defense industry for global-distribution. Thus, Korea should develop electronic commercial applications, not just as a weapon exporting region.
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