• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.93-102
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• 2022

The purpose of this study is a descriptive research study conducted to investigate college life adaptation, self-directed learning, and career identity in the COVID-19 crisis situation, and to identify factors affecting career identity. The subjects of this study and data collection were from September 1 to October 31, 2021, with 197 nursing students enrolled in two universities in D and C cities. As a result of the study, the factors affecting career identity were adaptation to college life and the number of meetings with academic advisors, and It's explanatory power was 37%. Therefore, in order to improve the career identity of nursing students in the COVID-19 crisis, it is necessary to develop and apply a program to promote college life adaptation, and it is necessary for professors to build a support system through continuous encounters with students.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.31-38
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• 2023

Style transfer is one of deep learning-based image processing techniques that has been actively researched recently. These research efforts have led to significant improvements in the quality of result images. Style transfer is a technology that takes a content image and a style image as inputs and generates a transformed result image by applying the characteristics of the style image to the content image. It is becoming increasingly important in exploiting the diversity of digital content. To improve the usability of style transfer technology, ensuring stable performance is crucial. Recently, in the field of natural language processing, the concept of Transformers has been actively utilized. Attention maps, which forms the basis of Transformers, is also being actively applied and researched in the development of style transfer techniques. In this paper, we analyze the representative techniques SANet and AdaAttN and propose a novel attention map-based structure which can generate improved style transfer results. The results demonstrate that the proposed technique effectively preserves the structure of the content image while applying the characteristics of the style image.

• Journal of the Korean Chemical Society
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• v.67 no.4
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• pp.253-270
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• 2023

The purpose of this study was to examine the effect of student-led assessment on achievement emotions and science concept understanding in middle school science classes. For this purpose, 4 of the 7 classes in the third grade of mid- dle school in small and medium-sized cities were selected as the experimental group and conducted student-led assessment, while the comparative group (3 classes) conducted teacher-led assessment. The student-led assessment consisted of 4 stages in which learners took initiative to set learning goals and develop assessment criteria, conduct self assessment and peer assess- ment, and carry out seven assessment activities. Student-led assessment was effective in improving positive achievement emotions and relieving negative achievement emotions and increasing students' science concept understanding in middle school students. Students perform student-led assessment, grasp their reach, and repeatedly go through reflective thinking to compensate for deficiencies in the learning process. Therefore, student-led assessment can be used as a tool to increase science concept understanding by continuously checking the level of science concept understanding.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.101-109
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• 2023

According to data released by the Covid 19 Self-Employed Emergency Response Committee, 95.6% of small business sales due to Covid 19 have decreased over the past two years, and the damage has further increased due to social distancing for quarantine. However, as all social distancing guidelines have rebeen lifted, and the commercial district has been revitalized, the Seoul Metropolitan Government is pushing for a project to foster local brand commercial districts so that small business owners or prospective founders who have closed their businesses due to the prolonged COVID-19. Therefore, this study propose the model that recommends alley commercial districts suitable for founders among the five alley commercial districts selected for the project to foster local brand commercial districts in Seoul. The Seoul Metropolitan Government's local brand alley commercial recommendation system recommends major population age groups and major industries in the commercial district by combining the population perspective model using Xgboost and the commercial district characteristic model using Decision Tree.

• Journal of IKEEE
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• v.27 no.1
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• pp.1-11
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• 2023

Path driving tests are necessary for the development of self-driving cars or robots. These tests are being conducted in simulation as well as real environments. In particular, for development using reinforcement learning and deep learning, development through simulators is also being carried out when data of various environments are needed. To this end, it is necessary to utilize not only manually designed paths but also various randomly and automatically designed paths. This test site design can be used for actual construction and manufacturing. In this paper, we introduce a method for randomly generating a driving test path consisting of a combination of arcs and segments. This consists of a method of determining whether there is a collision by obtaining the distance between an arc and a line segment, and an algorithm that deletes part of the path and recreates an appropriate path if it is impossible to continue the path.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.223-231
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• 2021

Humanity faces the 4th industrial revolution, many countries are providing systematic and continuous SW education to foster talent with AI capabilities. On the other hand, there are high concerns that the SW gap will widen and polarize as domestic reality does not provide systematic and continuous SW education to learners. Against this background, this study started to investigate the influence of learners' SW experience on SW education. As a result of the study targeting science and engineering students, the effect of SW experience on SW education was significant. With theses results, it is expected that various discussions will be actively conducted so that systematic and continuous SW education can be provided in elementary and secondary schools.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.401-409
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• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

• The Journal of Bigdata
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• v.6 no.2
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• pp.99-108
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• 2021

Recently, unexpected and more advanced cyber medical treat attacks are on the rise. However, in responding to various patterns of cyber medical threat attack, rule-based security methodologies such as physical blocking and replacement of medical devices have the limitations such as lack of the man-power and high cost. As a way to solve the problems, the medical community is also paying attention to artificial intelligence technology that enables security threat detection and prediction by self-learning the past abnormal behaviors. In this study, there has collecting and learning the medical information data from integrated Medical-Information-Systems of the medical center and introduce the research methodology which is to develop the AI-based Net-Working Behavior Adaptive Information data. By doing this study, we will introduce all technological matters of rule-based security programs and discuss strategies to activate artificial intelligence technology in the medical information business with the various restrictions.

• Journal of Industrial Convergence
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• v.21 no.10
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• pp.111-120
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• 2023

This study is a descriptive research to examine the effects of meta-cognition and resilience on clinical reasoning ability of nursing students who have completed the simulation education integrated with problem based learning. The study subjects were senior nursing students who had experienced SIM-PBL education, and data was collected by using a structured questionnaire from September to December 2021. The collected data was analyzed employing descriptive statistics, correlation, and hierarchical regression analysis using the SPSS program. The results demonstrated that meta-cognition and resilience had a significant positive correlation with clinical reasoning ability. The chief factors influencing on the clinical reasoning ability of nursing students were as follows: confidence in participating in the SIM-PBL education, meta-cognition, and resilience. In addition, the three factors explained the clinical reasoning ability at a high level of 75%. The clinical reasoning ability of nursing students may be cultivated by applying internal reinforcers of self-confidence, meta-cognition, and resilience into a SIM-PBL simulation.

• Journal of The Korean Association For Science Education
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• v.28 no.5
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• pp.424-437
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• 2008

In this study, we collected teachers' opinions with regard to the effects of the instruction using analogy generation, the disadvantages of the instruction, the problem-solving methods of the instruction, and the teacher's role in it, and accordingly tried to investigate its effectiveness with the analysis of students' academic achievements and motivation, and through the student's interview, after applying the activities of creating generated analogies, finding the difference between the objects and comparisons, and presenting new-known genetics concepts as the students themselves generated analogies. As a result of a teachers' workshop on instruction using analogy development, it was expected to have a positive effect on students' understanding of scientific concepts in genetics, which were found to be difficult for students to understand in learning biology. Students found analogy examples for concepts in genetics in daily life, compared their analogs to those of peers, and examined inconsistencies between targets and analogs through the process of discussion, which finally led to their correct perception of scientific concepts in genetics. In addition, instruction using student-generated analogies proved to have a more positive effect on improving academic achievement and motivating learning, compared with traditional expository instruction.