• Korean Medical Education Review
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• v.19 no.3
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• pp.115-120
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• 2017

Despite the importance of how the premedical education curriculum is organized, the basic direction of the curriculum has not been evaluated at a fundamental level. In order to explore the basic directions of the premedical education curriculum, this study examined medical education as a university education, the historical basis of premedical education, and the direction of the premedical education curriculum. Historically, as medical education was incorporated into the university education system, premedical education developed based on basic science and liberal arts education. Accordingly, the direction of the premedical education curriculum began to split into two approaches: one believing in a basic science-based education intended to serve as the foundation of medical training, and the other believing in a liberal arts-based education intended to cultivate the qualities of a doctor. In recent years, however, the binary division in the direction of premedical education has ceased to exist, and the paradigm has now shifted to an agreement that premedical education must cultivate the basic scientific competence required for learning medical knowledge as well as the social qualities that a doctor should have, which are cultivated through the liberal arts. Furthermore, it has been asserted that the direction of premedical education should move toward the qualities that will be required in the future. With the fourth industrial revolution underway, the role of doctors is now being re-examined. This means that today's medical education must change in a future-oriented way, and the direction of the premedical education curriculum must be on the same page.

• Korean Medical Education Review
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• v.19 no.3
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• pp.134-137
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• 2017

The main points of issue with the former premedical curriculum of Seoul National University College of Medicine (SNUCM) were the absence of educational objectives, decline in student motivation caused by uniform education, students' lack of a sense of belonging, and lack of humanistic education. In accordance with these issues, there were five aspects considered for the improvement of the premedical curriculum: reform based on the newly established educational objectives that corresponds with the 6-year medical school curriculum as a whole, expansion of elective courses and the development of personalized curriculum for the improvement of students' learning motives, expansion of social sciences and humanities curriculum for the development of students' capabilities as good doctors, active participation of medical professors in premedical education, and expansion of informal education and the student support program. According to the assessment done after the implementation of the reformed curriculum, premedical students were gratified with its establishment and management of multifarious liberal arts and major subjects. In preparation of the more rigorous entrance quota of the premedical school at SNUCM, there is ongoing reform of required major subjects and establishment of new subjects in the premedical curriculum in pursuit of unity with the 6-year medical curriculum. Moreover, there is ongoing development of an e-portfolio system for the association of premedical and medical education, integration of formal and informal curriculum, and reinforcement of student observation and formative evaluation. Further discussion on the assessment and betterment of premedical curriculum is needed.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.185-190
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• 2020

The programming education of non-computer major undergraduates aims to increase the their problem-solving and coding skills so that the skills can be applied to various fields and motivate them to continuously study computer or programming. However, it difficult for them to recognize the necessity of programming knowledge and to find out how it can be used in their major. Therefore, the professor needs to give students a full explanation of their roles to play. In this paper, we revisit the necessity of programming knowledge for non-computer major undergraduates by looking at the convergence cases of ICT technology and the humanities and social arts fields. And we propose an instruction direction of programming learning for them.

• Fisheries and Aquatic Sciences
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• v.25 no.8
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• pp.450-461
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• 2022

A randomized, double-blind, and placebo-controlled clinical study was used to determine the cognitive functions related to working memory (WM) and antioxidant properties of fermented Laminaria japonica (FLJ) on healthy volunteers. Eighty participants were divided into a placebo group (n = 40) and FLJ group (n = 40) that received FLJ (1.5 g/day) for 6 weeks. Memory-related blood indices (brain-derived neurotrophic factor, BDNF; angiotensin-converting enzyme; human growth hormone, HGH; insulin-like growth factor-1, IGF-1) and antioxidant function-related indices (catalase, CAT; malondialdehyde, MDA; 8-oxo-2'-deoxyguanosine, 8-oxo-dG; thiobarbituric acid reactive substances, TBARS) were determined before and after the trial. In addition, standardized cognitive tests were conducted using the Cambridge Neuropsychological Test Automated Batteries. Furthermore, the Korean Wechsler Adult Intelligence Scale (K-WAIS)-IV, and the Korean version of the Montreal Cognitive Assessment (MoCA-K) were used to assess the pre and post intake changes on WM-related properties. According to the results, FLJ significantly increased the level of CAT, BDNF, HGH, and IGF-1. FLJ reduced the level of TBARS, MDA, and 8-oxo-dG in serum. Furthermore, FLJ improved physical activities related to cognitive functions such as K-WAIS-IV, MoCA-K, Paired Associates Learning, and Spatial Working Memory compared to the placebo group. Our results suggest that FLJ is a potential candidate to develop functional materials reflecting its capability to induce antioxidant mechanisms together with WM-related indices.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.285-293
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• 2021

With the advent of the 4th Industrial Revolution, AI utilization capabilities are being emphasized in various industries, but AI education design and curriculum research as universal education is currently lacking. This study offers a design for universal AI education to further cultivate its use in universities. For the AI basic education design, a questionnaire was conducted for experts three times, and the reliability of the derived design contents was verified by reflecting the results. As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived were data structure understanding and processing, visualization, word cloud, public data utilization, and machine learning concept understanding and utilization. The educational design content derived through this study is expected to increase the value of competency-centered AI universal education in the future.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.448-458
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• 2021

As the fourth industrial revolution accelerates, universities have made great efforts to develop and reform creative convergence courses for improving the students' creative convergence capabilities. Although various subjects such as "Capstone" and "Design Thinking" to the improvement of students' creative convergence competences, many courses focus on creativity education in the direction of creating new products or outputs such as engineering, design, and art, so there is still a lack of systematic education and subjects on creative convergence capabilities from a humanities and sociological perspective. In order to overcome their limitations of creative courses, "H" University developed a 'Imaginative Innovators' class with the purpose of solving creative problems on social issues related to sciences, culture, politics, economics, and so on. In this study, we introduced the purpose, methodology, students' best practices etc. of the "Imaginative innovator" course. In addition, we discussed the limitations and complements as well as the advantages and possibilities of the course. These findings are expected to contribute to the development and expansion of creativity education.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3836-3854
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• 2022

The student group division is benefit for universities to do the student management based on the group profile. With the widespread use of student smart cards on campus, especially where students living in campus residence halls, students' daily activities on campus are recorded with information such as smart card swiping time and location. Therefore, it is feasible to depict the students with the daily activity data and accordingly group students based on objective measuring from their campus behavior with some regular student attributions collected in the management system. However, it is challenge in feature representation due to diverse forms of the student data. To effectively and comprehensively represent students' behaviors for further student group division, we proposed to adopt activity data from student smart cards and student attributes as input data with taking account of activity and attribution relationship types from different perspective. Specially, we propose a novel student group division method based on a multi-view student attribute heterogeneous information network (MSA-HIN). The network nodes in our proposed MSA-HIN represent students with their multi-dimensional attribute information. Meanwhile, the edges are constructed to characterize student different relationships, such as co-major, co-occurrence, and co-borrowing books. Based on the MSA-HIN, embedded representations of students are learned and a deep graph cluster algorithm is applied to divide students into groups. Comparative experiments have been done on a real-life campus dataset collected from a university. The experimental results demonstrate that our method can effectively reveal the variability of student attributes and relationships and accordingly achieves the best clustering results for group division.

• Journal of the Korean Geosynthetics Society
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• v.21 no.2
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• pp.11-19
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• 2022

In this paper, we propose a GoogleNet transfer learning and CNN-LSTM combination method to improve the time-series prediction performance for crack detection using crack data captured inside the sewer pipes. LSTM can solve the long-term dependency problem of CNN, so spatial and temporal characteristics can be considered at the same time. The predictive performance of the proposed method is excellent in all test variables as a result of comparing the RMSE(Root Mean Square Error) for time series sections using the crack data inside the sewer pipe. In addition, as a result of examining the prediction performance at the time of data generation, the proposed method was verified that it is effective in predicting crack detection by comparing with the existing CNN-only model. If the proposed method and experimental results obtained through this study are utilized, it can be applied in various fields such as the environment and humanities where time series data occurs frequently as well as crack data of concrete structures.

• Journal of The Korean Association For Science Education
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• v.32 no.2
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• pp.320-330
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• 2012

Understanding the relation between basic science and applied science is important for students in understanding the importance of learning science, the relationship between scientific knowledge and human life, and for enhancing their science motivation. In this study, we evaluated the statistical validity of this hypothetical model and explored the effect of gender and students' preferred courses (e.g., humanities, science, and art) on four dependent variables. We also evaluated the differences of students' understanding across scientific domains and students' understanding concerning basic and applied scientific knowledge. Three hundred and twenty five 10th grade students participated in this survey research. Statistically, we employed bivariate correlation, partial correlation, path analysis, two-way ANOVA, and repeated measures ANOVA. Our findings illustrated that our hypothetical model was statistically valid. In addition, the significant interaction effects of gender and students' preferred courses on each dependent variable were shown. Students have different levels of understanding of the convergence of basic and applied science, the relation between scientific knowledge and human life, and the importance of learning science across scientific domains (e.g., physics, chemistry, earth science and biology).

• 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.