• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.133-149
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• 2014

One of the main purposes of universities is to create new intellectual resources that will increase social values. These intellectual resources include academic research papers, lecture notes, patents, and creative ideas produced by both professors and students. However, intellectual resources in universities are often not distributed to the actual users or companies; and moreover, they are not even systematically being managed inside of the universities. Therefore, it is almost impossible for companies to access the knowledge created by university students and professors to utilize them. Thus, the current level of knowledge sharing between universities and industries are very low. This causes a great extravagant with high-quality intellectual and human resources, and it leads to quite an amount of social loss in the modern society. In the 21st century, the creative ideas are the key growth powers for many industries. Many of the globally leading companies such as Fedex, Dell, and Facebook have established their business models based on the innovative ideas created by university students in undergraduate courses. This indicates that the unconventional ideas from young generations can create new growth power for companies and immensely increase social values. Therefore, this paper suggests of a new platform for intellectual properties distribution with university-industry cooperation. The suggested platform distributes intellectual resources of universities to industries. This platform has following characteristics. First, it distributes not only the intellectual resources, but also the human resources associated with the knowledge. Second, it diversifies the types of compensation for utilizing the intellectual properties, which are beneficial for both the university students and companies. For example, it extends the conventional monetary rewards to non-monetary rewards such as influencing on the participating internship programs or job interviews. Third, it suggests of a new knowledge map based on the relationships between key words, so that the various types of intellectual properties can be searched efficiently. In order to design the system platform, we surveyed 120 potential users to obtain the system requirements. First, 50 university students and 30 professors in humanities and social sciences departments were surveyed. We sent queries on what types of intellectual resources they produce per year, how many intellectual resources they produce, if they are willing to distribute their intellectual properties to the industries, and what types of compensations they expect in returns. Secondly, 40 entrepreneurs were surveyed, who are potential consumers of the intellectual properties of universities. We sent queries on what types of intellectual resources they want, what types of compensations they are willing to provide in returns, and what are the main factors they considered to be important when searching for the intellectual properties. The implications of this survey are as follows. First, entrepreneurs are willing to utilize intellectual properties created by both professors and students. They are more interested in creative ideas in universities rather than the academic papers or educational class materials. Second, non-monetary rewards, such as participating internship program or job interview, can be the appropriate types of compensations to replace monetary rewards. The results of the survey showed that majority of the university students were willing to provide their intellectual properties without any monetary rewards to earn the industrial networks with companies. Also, the entrepreneurs were willing to provide non-monetary compensation and hoped to have networks with university students for recruiting. Thus, the non-monetary rewards are mutually beneficial for both sides. Thirdly, classifying intellectual resources of universities based on the academic areas are inappropriate for efficient searching. Also, the various types of intellectual resources cannot be categorized into one standard. This paper suggests of a new platform for the distribution of intellectual materials and human resources, with university-industry cooperation based on these survey results. The suggested platform contains the four major components such as knowledge schema, knowledge map, system interface, and GUI (Graphic User Interface), and it presents the overall system architecture.

• Journal of Korean Classical Literature and Education
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• no.32
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• pp.193-224
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• 2016

The North Korean animation is a puppet movie that is adapted The Brother and Sister Who Became the Sun and the Moon, a traditional Korean lore. The quality of this animation is acknowledged because of not only North Korea's considerably advanced animation technology but also the animation's retention of the folklore's traditional essence rather than intention to disseminate ideological propaganda. Nevertheless, the animation reveals the trasformation of its original purpose from general educative intentions for children to the educative concept of salvation by heaven is replaced by salvation by people and cultural education insteadof salvation by heaven. The appearance of the hero Jangsoe is the key adaptation of this animation, and it suggests the main principal of salvation lies in man rather than in heaven. Such adaptation complies with the requirements of children's literature suggested by the North Korea's literary history office. Furthemore the hero Jangsoe as the examplary figure of revolutionary self-reliance ideology and as a leader. Theory of self-reliance literature stipulates that children's literature is used for ideological education that develops people to be successors of revolutionary feats and become active workers for the construction of socialism and communism, therefore it is possible to understand the purpose of the adaptation to reflect the educational aims. This study investigates the change in meaning form the original folktale through such adaptation, and highlights problems related to limiting the meaning implied in "heaven's salvation" in the original story only to the vague meaning of religious hope. This vague implied meaning is considered as "an awareness activity to examine their own existence in the universe". With regard to this, the concept of heaven's salvation that is prevalent in the classic stories can be interpreted as a positive self-belief that enables the use of rationality in any helpless situation that cannot be understood with existing empirical knowledge. It considers that heaven expresses the power that exists in the human mind through self-viability and self-belief. This creates the power of reason in the character to fight against the evil disguised as the mother, in the absence of the real mother.

• Journal of vocational education research
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• v.37 no.5
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• pp.25-53
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• 2018

The purpose of this study is to find out the improvement plan through the satisfaction survey of the trainees involved in vocational training fraud preventive education. In order to do this, we conducted a satisfaction survey(4,263 persons) of 5,939 people who participated in the prevention education conducted by group education or e-learning in 2017. Finally we collected 4,237 effective responses data. Descriptive statistics and the regression analysis were conducted. The finding of the study were as follows. First, the education service quality(4.42), satisfaction level(4.44), understanding level(4.44) and help level(4.45) were significantly higher than those of participants in the preventive education 4 and above. Second, e-learning participants' perceived level of education service quality, satisfaction, comprehension, and help was higher in all variables than collective education's. Third, all of the sub-factors of preventive education service quality influenced satisfaction, understanding, and help in collective education and e-learning, respectively. In the collective education, the contents of education had the greatest influence, and in e-learning, the data composition had the greatest influence. Fourth, desirable education contents were cases of fraud training(70.7%), disposition regulations(47.9%), NCS course operation instructions(32.8%) and training management best practices(32.4%). Additional requirements also included the establishment of an in-depth course, the provision of anti-fraud education content for trainees, and screen switching and system stability that can be focused on e-learning. Therefore, this study suggests that first, it is necessary to activate e-learning for prevention education more, reflecting satisfaction of e-learning is higher than that of collective education. Second, it is necessary to diversify the content of preventive education and to provide it more abundantly, because it has the biggest influence in common with the satisfaction, understanding and help level of the preventive education. Third, education content next, the factors that have a relatively big influence on satisfaction are shown as delivery method and education place in the collective education. Therefore, it is necessary to prepare education place considering the assignment of instructor and convenience. Fourth, constructing data next, the factor that have a relatively great influence on understanding and help are found to be operator support, and more active operator support activities are required in e-learning. Fifth, it is required to delivery prevention activity for trainees participating in vocational training. Sixth, it is necessary to analyze the educational need to construct the contents of preventive education more systematically.

• Journal of the Korean Wood Science and Technology
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• v.49 no.6
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• pp.616-642
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• 2021

Improving public awareness of wood is essential for achieving the goal of establishing wood culture by expanding the use of wood. This study presents a basic examination of the strategy of revitalizing wood culture and a survey of its current status and requirements. The survey was divided into seven categories: awareness of wood culture; use characteristics of wood culture; preference and demand for wood culture; awareness of sub-fields of wood culture; awareness of the cultural resources of wood; trends of wood utilization; and wood-related living environment. Based on the survey results, the study analyzed four items: awareness of wood and cultural experience; awareness of the cultural resources of wood; wood-related living environment and trends of wood utilization; and preference and demand for wood culture. In this study, the public awareness of wood and cultural experiences, the first of four items, was analyzed using the survey results. Generally, wood and wood culture are viewed as materials and a cultural heritage, respectively. Moreover, wood is ecofriendly. However, no substantial difference was observed between the two perceptions. Forty-five percent of the respondents reported that using wood exerts a positive effect on the body and mind. However, such use also destroys forests. Additionally, the recognition of wood-related workers, such as engineers or skilled workers, was relatively low compared with educators, such as wood education experts. Moreover, less than 50% of the respondents answered that major projects related to wood culture are well-known, whereas 30% participated in wood education, such as woodworking experience, where the majority required hand tools. Furniture, wooden accessories, and wooden buildings were among the objects that individuals intended to make through the wood culture program. Approximately 23% of the respondents were aware about the wood culture experience center, while approximately 50% had visited it. The response rate to woodworking technology was 73%, where the highest response was found for wood education experts. To improve public awareness about wood, the importance of entertainment factors over educational factors should be considered in the experience of individuals. To provide opportunities to experience wood culture for more individuals, developing and actively promoting various contents, including entertainment elements, are necessary.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.197-214
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• 2024

This study aimed to investigate students' perceptions at science and technology specialized universities towards entrepreneurship support policies and to derive policy improvement measures by applying a bottom-up approach to reflect the requirements of the policy beneficiaries, i.e., the students. Specifically, the research explored effective execution strategies for student entrepreneurship support policies through a survey and analysis of KAIST students. The findings revealed that KAIST students recognize the urgent need for improvement in sharing policy objectives with the student entrepreneurship field, reflecting the opinions of the campus entrepreneurship scene in policy formulation, and constructing an entrepreneurship-friendly academic system for nurturing student entrepreneurs. Additionally, there was a highlighted need for enhancement in the capacity of implementing agencies, as well as in marketing and market development capabilities, and organizational management and practical skills as entrepreneurs within the educational curriculum. Consequently, this study proposes the following improvement measures: First, it calls for enhanced transparency and accessibility of entrepreneurship support policies, ensuring students clearly understand policy objectives and can easily access information. Second, it advocates for student-centered policy development, where students' opinions are actively incorporated to devise customized policies that consider their needs and the actual entrepreneurship environment. Third, there is a demand for improving entrepreneurship-friendly academic systems, encouraging more active participation in entrepreneurship activities by adopting or refining academic policies that recognize entrepreneurship activities as credits or expand entrepreneurship-related courses. Based on these results, it is expected that this research will provide valuable foundational data to actively support student entrepreneurship in science and technology specialized universities, foster an entrepreneurial spirit, and contribute to the creation of an innovation-driven entrepreneurship ecosystem that contributes to technological innovation and social value creation.

• Journal of Korean Dental Hygiene Science
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• v.6 no.2
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• pp.65-77
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• 2023

Background: The shortage of dental hygienists as assistant is a great concern to dental clinics, while dental hygienists are rather pursuing the role of oral hygiene control and preventive treatments which is the main role for dental hygienists in the United States. The dental hygienist and dental assistant system in the United States can be a reference in these discussions. Methods: Educational requirements for licensure and work areas for dental hygienists and dental assistants were investigated through the information provided by the American Dental Association (ADA), American Dental Hygienists Association, National Board Dental Hygiene Examination (NBDHE), Dental Assistants Association of America (ADAA), and Dental Assistants National Board (DANB). Results: In the United States, each state has different systems, but in general, dental hygienists obtain licenses after completing 2~3 years of associate degree programs in dental hygiene after obtaining basic learning skills, and mainly perform tasks related to patient screening procedures, oral hygiene management and preventive care. Dental assistants can take the license test after completing a training course of 9~11 months to obtain a dental assistant certification. Additional expanded work typically requires passing state qualification tests, completing a training program, obtaining a degree, or gaining clinical experience for a certain period of time, depending on the state Conclusion: The scope of work of dental hygienists designated by the Medical Engineer Act and the Enforcement Decree in Korea includes both the work of dental hygienists and dental assistants in the United States, and if a dental assistant system like the United States is introduced to address the current shortage of dental assistants, institutional supplementation such as adjustment of the scope of work and expansion of the role of dental hygienists in oral hygiene management and prevention work is needed and in-depth discussion is necessary.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.95-112
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• 2021

In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.