• Design Convergence Study
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• v.15 no.4
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• pp.45-58
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• 2016

The purpose of this study is to investigate the most effective emoticon type in on-line communication context through analysis decoding(by their interpretation, empathy, reaction) of receiver about emotional message included the various emoticon types. Message types were all 5 - only text message and messages included texticon, graphicon, anicon, and photocon that reflected the transitional process of emoticon. Survey questionnaire that included various emotional situations was developed and utilized to undergraduate students to analyze the differences in their gender and majors. Results are as follow. First, the graphicon, anicon and photocon messages had higher effectiveness than others in the pleasure while the text only message had the highest effectiveness of them in the displeasure. Second, female students responded that the graphicon, anicon and photocon messages were more effective while male students responded that text only message was. Third, between Arts/Physical and Science/Engineering majors had significant differences in some message types, and especially Science/Engineering majors showed higher average than other majors in all of the emoticon types. These results can provide the information to design messages by the emotional situation of sender and gender and major of receiver.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.107-117
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• 2023

The operating regulations of the undergraduate co-op amended and announced on July 6, 2021 aim to enhance the quality of co-op and improve student rights through the standardized operation. However, among the revisions, 75% of the minimum wage and up to 25% of job training are acting as great difficulties in corporate participation in the co-op. Therefore, the purpose of this study is to review the concept of the co-op and the main contents of the revision of the Ministry of Education's operating regulations, and to examine companies' perceptions and responses. As a result of the study, some companies were not aware of the revision of the notice in detail. In addition, the revisions related to the training support fee was found to be the biggest concern among the corporates, and the burden of job training also existed among the corporates. Based on the research results, policy improvement directions were discussed, and the implications and limitations of this study were also suggested.

• Journal of The Korean Association For Science Education
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• v.26 no.6
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• pp.753-764
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• 2006

The concept of blood circulation is so complex, dynamic and abstract that students have difficulty in understanding it and students' preconceptions hardly change into scientific concepts even after the lessons. The purpose of this study is to examine middle school, high school, and undergraduate students' understanding of blood circulation and to find the reason why the lack of deep understanding is displayed in students' explanations for the blood circulation. The study consists of three parts. First, the test was designed to investigate students' ideas for blood circulation as components of the structure, the function, the behavior and the mechanism. Second, the test was applied to 7th, 10th and 13th graders to investigate the students' understanding of blood circulation and categorize the types of students' blood circulation model according to their academic level. Finally, the concepts the students had little understanding of were analyzed to decide which ontological category they fell into and further to inquire the characteristics of each concept. The results showed that many students comprehend the structure and the function of blood circulation components well, and there was no significant difference in students' understanding according to the academic level. In contrast, understanding the behavior and the mechanism of circulatory components has remarkably improved in high school students and undergraduates majoring in science and engineering. Also, students' blood circulation models were classified into seven different types. High school students and undergraduates majoring in science and engineering demonstrated a significantly higher percentage on the type of double-loop-branch compared to other academic levels. In addition, it was found that the lack of deep understanding was caused by students' misconceiving the 'equilibrium' category as 'event' category.

• Korean Security Journal
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• no.40
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• pp.175-207
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• 2014

This paper focuses on the study of a development direction of the industrial security Expert system. First of all, in order to manage Industrial security system, we need to have law, criminology, business and engineering professionals as well as IT experts, which are the multi-dimensional convergence professionals. Secondly, industrial organizations need to have workforce who can perform security strategy; security plan; security training; security services; or security system management and operations. Industrial security certification system can contribute to cultivate above mentioned professional workforce. Currently Industrial Security Expert(ISE) is a private qualification. However, the author argued that it have to be changed to national qualification. In addition, it is necessary that the system should be given credibility with verifying the personnel whether they are proper or not in the their field. In terms of quality innovation, it is also necessary that distinguish the levels of utilization of rating system of the industrial security coordinator through a long-term examination. With respect to grading criteria, we could consider the requirements as following: whether they must hold the degree of the industrial security-related areas of undergraduate or postgraduate (or to be); what or how many industrial security-related courses they should complete through a credit bank system. If the plan of completing certain industrial security-related credits simply through the credit bank system, without establishing a new industrial security-related department, has established, then industrial security study would be spreaded and advanced. For private certification holders, the problem of the qualification succeeding process is important matter. Additionally, it is necessary to introduce the certifying system of ISMS(Industrial Security Management System) which is a specialized system for protecting industrial technology. To sum up, when the industrial security management system links the industrial security management certification, industrial security would realize in the companies and research institutions dealing with national key technology. Then, a group synergy effect would occurs.

• Journal of Korean Biological Nursing Science
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• v.5 no.1
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• pp.13-22
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• 2003

The purpose of this study was to investigate and analyze current educational requirements related to genetics curriculum(from June 2002 to September 2002) established at nursing institutions and to provide the basic data for the development of genetics science program at the undergraduate. Subjects of this study were comprised of twenty-three colleges of nursing in 4-year baccalaureate and thirty colleges in 3-year diploma programs. The results of this study were as follows : 1) 32 colleges offer courses related to genetics. 29 among 32 colleges have that integrated. Three schools have established completely independent courses of genetics. 21 colleges do not have any courses dealing with genetics. 2) The contents of courses related to genetics include: Congenital abnormalities, chromosomal aberrations, congenital metabolic disease, prenatal diagnosis and genetic counseling, genes and chromosomes, immune genetics, blood type and genetics, rule of genetics, variation in gene expression, the map of the human gene, gene linkage genetics, interaction of genes, single inheritance in order and genetic biochemistry. 3) For course credit, 14colleges(48.3%) offered at most 1 credit per course. The grade of student who can take the course, 51.7% were in their second year while 37.9% were in their third year. The majors of nursing faculty who taught the course were nursing(51.7%) and basic nursing science(17.2%). 4) As far as the need of opening the courses related to genetics, 36 colleges(67.0%) have made a 'need', 12 schools(22.6%) state 'dose not need'. 711e reason for need were the following development of bio engineering, increase number of patients who are related to genetics, recognition of the need in clinical nursing. 7 schools(13.2%) agreed to offer independent course in genetics but 39 schools(73.6%) are in disagreement with that. When the school offers the course with other courses, 27 schools(50.0%) are opening basic nursing science and 14 schools(26.4%) are opening nursing as an integrated courses. If the name of course was either genetic nursing(34.0%) or genetics(28.3%), the credits for the course was one or 2 credits. 33 schools(62.3%) students were in the first or second years. 41 schools(84.9%), the majors of the faculty who had taught the course were either basic nursing science(35.8%), nursing(28.3%) or basic medicine(24.5%). The contents of the course should include in that order: Chromosome aberrations, prenatal diagnosis and genetic counseling, congenital metabolic disease, congenital abnormalities, genes and chromosomes, the rules of genetics, immune genetics, interaction of genes, variation in gene expression, etc. The results and discussions of the study indicate that the entire curriculums need to be investigated with respect to contents of education, nursing curriculums and name of courses because of the increasing need of knowledge related to genetics in the clinical practice.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.151-158
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• 2017

This study explored the development and utilization strategies based on the recognition of Massive Open Online Courses(MOOC) of students and professors who are the subjects of university teaching and learning. All members of the university recognized the basic concepts of MOOC as openness, sharing, and participation positively. In the understanding and recognition level of MOOC, undergraduate and graduate students were very low but professors were relatively high. They wanted the MOOC to develop courses in the humanities, natural sciences, social sciences, technology engineering and the arts and sciences, aiming at innovation in college curricula and diffusion of unique contents. The undergraduates wanted MOOC to be able to complete the liberal arts curriculum, basic learning in other areas and extra-curriculum and the graduate students who were lifelong learners wanted MOOC to be developed and utilized for strengthening lifelong education of local citizens. Professors who are providers of high quality education and lifelong learners wanted MOOC to be used for the deepening of their major courses in order to innovate the university education and to spread unique contents. The university should support the development of various MOOCs, establish the completion system, and provide advanced and high quality online education service.

• Journal of the International Relations & Interdisciplinary Education
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• v.1 no.1
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• pp.46-60
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• 2021

The main purpose of this study was to examine the satisfaction of online classes of undergraduates who have experienced sudden online classes in college because of COVID-19, and to analyze the differences of the satisfaction of online classes depending on colleges. The participants were 1,380 college students. Descriptive statistics, one-way ANOVA, and Post-hoc Scheffé were performed. Undergraduates were highly satisfied with online classes in cultural subjects and major subjects, whereas they showed low satisfaction with appropriateness of the assignment. There were statistically significant differences in online class satisfaction between colleges. Students at the College of Education were highly satisfied with online classes satisfaction, while engineering students were less satisfied with online classes satisfaction. There were statistically significant differences in students engagements between colleges. Regardless of colleges, students displayed low satisfaction in e-class server and teaching and learning infrastructure. These findings suggest that we need to provide autonomous support and make an effective online learning environment such as server expansion and e-class improvement to enhance undergraduates' self-directed learning. We also should come up with effective online classes guidelines.

• Korean Journal of Radiology
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• v.22 no.5
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• pp.770-781
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• 2021

Objective: Chemical exchange-dependent saturation transfer (CEST) MRI is sensitive for detecting solid-like proteins and may detect changes in the levels of mobile proteins and peptides in tissues. The objective of this study was to evaluate the characteristics of chemical exchange proton pools using the CEST MRI technique in patients with dementia. Materials and Methods: Our institutional review board approved this cross-sectional prospective study and informed consent was obtained from all participants. This study included 41 subjects (19 with dementia and 22 without dementia). Complete CEST data of the brain were obtained using a three-dimensional gradient and spin-echo sequence to map CEST indices, such as amide, amine, hydroxyl, and magnetization transfer ratio asymmetry (MTR_asym) values, using six-pool Lorentzian fitting. Statistical analyses of CEST indices were performed to evaluate group comparisons, their correlations with gray matter volume (GMV) and Mini-Mental State Examination (MMSE) scores, and receiver operating characteristic (ROC) curves. Results: Amine signals (0.029 for non-dementia, 0.046 for dementia, p = 0.011 at hippocampus) and MTR_asym values at 3 ppm (0.748 for non-dementia, 1.138 for dementia, p = 0.022 at hippocampus), and 3.5 ppm (0.463 for non-dementia, 0.875 for dementia, p = 0.029 at hippocampus) were significantly higher in the dementia group than in the non-dementia group. Most CEST indices were not significantly correlated with GMV; however, except amide, most indices were significantly correlated with the MMSE scores. The classification power of most CEST indices was lower than that of GMV but adding one of the CEST indices in GMV improved the classification between the subject groups. The largest improvement was seen in the MTR_asym values at 2 ppm in the anterior cingulate (area under the ROC curve = 0.981), with a sensitivity of 100 and a specificity of 90.91. Conclusion: CEST MRI potentially allows noninvasive image alterations in the Alzheimer's disease brain without injecting isotopes for monitoring different disease states and may provide a new imaging biomarker in the future.

• 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.