• Journal of the Korean Society of Radiology
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• v.14 no.2
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• pp.121-127
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• 2020

The era of the Fourth Industrial Revolution is increasingly demanding mathematical competencies for virtual reality (VR), artificial intelligence (AI) and the like. In this context, this study intended to identify the basic mathematical competency levels of university freshman students in radiology department and to provide basic data thereon. For this, the diagnostic assessment of basic learning competencies for the domain of mathematics was conducted from June 17, 2019 to June 28, 2019 among 78 freshman students of radiology department at S university and D university. As a result, the university students' overall basic mathematical competency levels were diagnosed to be excellent. However, their levels in the sectors of the geometry and vector and the probability and statistics were diagnosed to be moderate, with the mean scores of 2.61 points and 2.64 points, respectively, which were found to be lower than those of the other sections. As for basic mathematical competency levels according to genders, the levels of male students and female students were diagnosed to be excellent, with the mean scores of 17.48 points and 16.29 points, respectively, showing no statistically significant difference (p>0.05). Given the small number of subjects and regional restriction, there might be some limitations in the generalization of the findings of the present study to all university freshman students and all departments. The above results suggest that it is necessary to implement various programs such as student level-based special lectures for enhancing basic mathematical competencies relating to major in order to improve the basic mathematical competencies of freshman students in radiology department, and that it is necessary to increase the students' mathematical competencies by offering major math courses in the curriculum and applying teaching-learning methods matching students' levels.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.788-817
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• 2018

This paper aims to explore the relationship between organizational competencies and performance by analysing perception survey data of R&D management agencies in Korea. The regression analysis results show the perceived performance measured by policy contribution and R&D management efficiency may be enhanced by organizational competencies such as professionalism and efficiency of R&D management specialized agencies. The paper suggests several improvement measures for strengthening professionalism of R&D management agencies in Korea. First, expertise competencies for strategic planning, management, evaluation need to be empowered in the whole process of R&D cycles. Second, in order to stabilize financial resources of R&D management specialized agencies, the existing R&D budget for Planing, Evaluation and Management should be reformed. Third, R&D management specialized agencies need setting up special organizations for managing inter-organizational collaboration with other R&D organizations. And the agencies should employ special experts in each position for strategic planning, management, evaluation, performance and commercialization. Finally, different R&D management procedures of each R&D management specialized agency need to be standardized in order to promote innovative R&D culture.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.61-70
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• 2018

It is urgent in the context of the Fourth Industrial Revolution that students become creative and integrative thinkers. In this vein, in the last few years, drawing upon constructivism as an innovative learning paradigm, new coding curricula using MIT's Scratch have been introduced in the number of countries to enhance computational thinking (CT). However, constructivism encouraging collaborative and active learning may not be explicitly utilized in instructional design focusing mainly on learning to code as technical skills - some of which exist today in large numbers of school and after-school code activities. To respond to such a misleading way of developing CT through coding, the present study aims to propose the benefits of CT self-assessment rubrics for primary pre-service teachers within a CT course entitled "Problem Solving by Computational Thinking". Our findings show how meaningful collaborative CT self-assessment in a group impacts their learning of CT. We end this paper with the discussion of implications of our findings for CT assessment towards a new paradigm in education.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.269-278
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• 2020

The purpose of this study is to verify the effectiveness of problem-based learning on self-directed learning ability and learning flow of junior college students. The study was conducted on 248 students from five departments who participated in the faculty learning community program, which was supported by the Center for Teaching and Learning Development at D University in Busan. The effectiveness of the survey conducted before and after the application of the problem-based learning method was examined to show statistically significant changes in both self-directed learning ability and learning flow. A survey on satisfaction with the problem-based learning method showed that 66.2% of all students were satisfied with their classes overall, and 64% of the respondents said that the problem-based learning method helped them understand the course, which allowed them to verify the effectiveness of the study method. This research is meaningful in that it can be used as a basic data for the search for learner-centered education methods required by the era of the fourth industrial revolution.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.63-72
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• 2018

The human voice is one of the easiest methods for the information transmission between human beings. The characteristics of voice can vary from person to person and include the speed of speech, the form and function of the vocal organ, the pitch tone, speech habits, and gender. The human voice is a key element of human communication. In the days of the Fourth Industrial Revolution, voices are also a major means of communication between humans and humans, between humans and machines, machines and machines. And for that reason, people are trying to communicate their intentions to others clearly. And in the process, it contains various additional information along with the linguistic information. The Information such as emotional status, health status, part of trust, presence of a lie, change due to drinking, etc. These linguistic and non-linguistic information can be used as a device for evaluating the individual's credit worthiness by appearing in various parameters through voice analysis. Especially, it can be obtained by analyzing the relationship between the characteristics of the fundamental frequency(basic tonality) of the vocal cords, and the characteristics of the resonance frequency of the vocal track.In the previous research, the necessity of various methods of credit evaluation and the characteristic change of the voice according to the change of credit status were studied. In this study, we propose a personal credit discriminator by machine learning through parameters extracted through voice.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.105-118
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• 2019

New manufactural innovation was generated with combination with Do It Yourself(DIY) culture and Information and Communication Technology(ICT). It led people to make their creative idea in real things and share them. This social movement has been called as 'Maker' culture. As maker culture was developed, the places named 'Makerspace' with high-tech equipment and sharing environment have been widely spread and gotten spotlight. Futhermore, makerspaces have been diffused rapidly in Korea; because of its importance for the fourth industrial revolution. However, the operation of makerspaces is not matured as much as its popularity, so problems occurred in operating aspects. The number of related studies is not enough to foster domestic maker culture in Korea. Of that, studies on operation of makerspaces were limited and the quantity of survey sample was insufficient. Therefore, firstly, in this study, operation elements of makerspaces were extracted by literature review. And, survey for examining the extracted elements was conducted to four policy makers and researchers, four makerspace operators and four makers. Final survey was carried out by Importance-Performance Analysis(IPA) method to fifty recipients composed of policy makers and researchers, operators, and makers. In result, importance located above performance in every elements and in-depth interview was followed to understand domestic surroundings and suggest way to invigorate makerspaces in Korea. The suggestion shows as follows. First, online and offline platform for makers should be expanded; second, makerspace should connect private sponsorship with makers or their projects; third, policy direction has to be improved from venturing business to diffusion of maker culture; fourth, basic maker education should be enlarged.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.105-111
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• 2019

Core technologies that lead the Fourth Industrial Revolution era, such as artificial intelligence, big data, and autonomous driving, are implemented and serviced through the rapid development of computing power and hyper-connected networks based on the Internet of Things. In this paper, we implement two different models for drivable area segmentation in various environment, and propose a better model by comparing the results. The models for drivable area segmentation are using DeepLab V3+ and Mask R-CNN, which have great performances in the field of image segmentation and are used in many studies in autonomous driving technology. For driving information in various environment, we use BDD dataset which provides driving videos and images in various weather conditions and day&night time. The result of two different models shows that Mask R-CNN has higher performance with 68.33% IoU than DeepLab V3+ with 48.97% IoU. In addition, the result of visual inspection of drivable area segmentation on driving image, the accuracy of Mask R-CNN is 83% and DeepLab V3+ is 69%. It indicates Mask R-CNN is more efficient than DeepLab V3+ in drivable area segmentation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.107-124
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• 2023

As getting in 4th Industrial Revolution Times, Continuing Education Enrolled Students(CEES) trying to find loophole for jepordized current life and need job transfer have surged their interest significantly on starting new business to bring up their post career after retirement through self-improvement. Government and university have actively initiated diverse policies of promoting startup for CEES in kicking off entrepreneurship courses and programs. However, relevant main policy, 'The 2nd University Startup Education Five-Year Plan (draft)' have too chiefly focused on theoretical start-up education rather than practical courses, causing the problem of inappropriate support for implementing real startup and business (Ministry of Education, 2018). This study is brought to empirically investigate the effect of self-efficacy as perspective of the impact of entrepreneurship education on entrepreneurial intention and behavior to come up with problem of poor entrepreneurial environment and entrepreneurship education to CEES. As to empirical research, this paper deliver on-line survey to CEES from September to October 2022, collect 207 effective feedbacks, In order to verify the reliability of the scale, the Cronbach's Alpha Coefficient (Cronbach's α) was calculated, analyzed, and measured. For hypothesis test, this paper utilize the multiple regression analysis statistical analysis method and use the SPSS 22.0 statistical processing program. Empirical results show, first, it was found that self-efficacy had a significant effect on start-up education. Second, start-up education had a significant effect on the intention to start a business of adult learners. Third, start-up education had a significant effect on the start-up behavior of adult learners. Fourth, self-efficacy had a significant effect on the intention of adult learners to start a business. Fifth, self-efficacy had a significant effect on the start-up behavior of adult learners. Sixth, self-efficacy had a mediating effect in the relationship between entrepreneurship education and adult learners' intention to start a business. Seventh, self-efficacy had a complete mediating effect in the relationship between start-up education and adult learners' start-up behavior. This paper is brought three significant implications. First, main consideration developing entrepreneurship education tools for CEES need to falls on defining potential needs of CEES as segmenting as to coming up with diversity of CEES's characteristics such as gender, age, experience, education, and occupation. Second, as to design specific entrepreneurship education program, both practical training program of utilizing CEES's career field experience benchmarking best practice startup and venture cases from domestic and global, and professional startup program of CEES initiating directly startup from ideation to develop business plan with pitching and discussing. Third, entrepreneurship education for CEES should be designed to incubate self-efficacy to enhance entrepreneurial intention of implementing entrepreneurial behavior as a real, eventually leading solid support system of self-improvement for CEES' Retirement life planning.

• Journal of Service Research and Studies
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• v.11 no.1
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• pp.1-20
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• 2021

This study was conducted to derive a model of a sustainable economic system for humanity in the era of service economy that requires a paradigm shift. A new long-term sustainable development model has been built on the basis of thousands of years of economic operation experience. Currently, the world is operating the capitalism as the main economic system because there is no better alternative, and the changing economic and social environment such as the advent of the 4th Industrial Revolution is exacerbating the problems of the capitalism, such as job shortages and inequality. In this study, we analyzed the economic management system experienced by human society, and derived an economic system model that is ideal for the modern and future society and is sustainable in the long term. The conditions for a long-term sustainable economic system were presented first. It must be a model that can solve the problems of the current economic system. It must be a model that is faithful to the characteristics of the modern economic society and the nature of the economy itself. And since the new economic system is for humanity, it must be based on the common principles of human society. It should be a model that continuously guarantees core values such as equality and freedom required by human society. After analyzing the problems of the current economic system and analyzing the conditions required for the new system, the basic axioms that the new economic system should be based on were presented, and a desirable model was derived based on this. The structure of the derived model and the specific operation model were presented. In the future, research is needed to specify the operational model so that this model can be settled well in different environments for each country.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.177-196
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• 2021

In the era of the 4th industrial revolution, high technology is causing many changes in modern society and economy. Among them, changes in industries and jobs require new competencies of future human resources. As an educational alternative to these changes, maker education and design thinking methods are spreading around the world, and it is necessary to actively apply such education in university curriculum. Therefore, this study examines the effects of the maker education using the design thinking method on the learners' competencies required as future human resources and, relationship between the development of university students' entrepreneurial competencies and learners' competencies. And the purpose of this study is to contribute to the vitalization of entrepreneurship education for university students by suggesting an educational model. For this purpose, this study investigated the prior research on maker education/environment and design thinking methods to examine concepts and characteristics, and analyzed the influences between maker education/environment and design thinking methods and the development of learners' personal, social and technological capabilities. In addition, this study analyzed the relationship between learners' developed capabilities and university students' entrepreneurial capabilities, and based on the results, suggested directions and conceptual models for education that combine maker education/environment and design thinking methods. In conclusion, maker education/environment and design thinking methods in university education have a positive effect on the cognitive, social, and technological development of learners, and this has a significant relationship with the factors of personal, social, and technological dimensions of university students' entrepreneurial competency. It is analyzed that it has a positive effect on the promotion of entrepreneurship activities of university students. Therefore, it is judged that university's interest and support should be given to the vitalization of maker education using the design thinking method for university student entrepreneurship education and future human resources nurturing.