• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.240-250
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• 2020

This study explores the process of transitional career choice for North Korean defectors who are successfully living their lives after transition to a different system labor market. To achieve this study purpose, what is the process of transitional career choice for North Korean defectors due to the system transition? At present, he (Ed- who is he?) has a subjective sense of success in his professional life and conducted in depth interviews with three men and eight women as objects that can explain the process of experience in rich and detailed ways. To this end, the author interviewed three men and eight women who are satisfied with their current job and analyzed them with the grounded theory method proposed by Strauss & Corbin (1998). As a result, the paradigm model was derived from the central phenomenon of 'conversion of perspective', and the core category was 'conversion of perspective and challenge new career'. The transitional career choice process was derived into four stages according to the flow of time and interaction as 'reality recognition stage', 'active change recognition stage', 'support and coping strategy stage', and 'growth stage' and positive reflections from transitional learning and potential factors of planned chance skills were found.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.51-57
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• 2022

The purpose of this study is to explore the future direction of university liberal arts classes at a time when many educational institutions have returned to face-to-face instruction as social distancing related to COVID-19 has been eliminated. A survey was conducted with 187 college students who took a liberal arts class that included a combination of online and in-person classes. The results found that learners were generally satisfied with remote learning (87.8%). The reasons for this high level of satisfaction included sufficient comprehension of class content, systematic class progress, and the efficiency and convenience of learning in a remote environment. Satisfaction levels for in-person classes (66%) were relatively lower than those for remote classes, and this is reflected in the preference for class type. Among wholly in-person, wholly remote, and a combination of both, it was found that learners preferred remote classes the most (54.4%). When conducting in-person classes, instructors must devise a class plan that incorporates the advantages of online remote classes.

• Annual Conference of KIPS
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• 2010.04a
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• pp.3-5
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• 2010

최근 학습 패러다임은 문서 중심에서 지식 및 정보 기반으로 크게 변화하고 있다. 또한 유비쿼터스 사회로의 전환을 맞이하여 다양한 USN 기술 기반의 학습 연구가 활발히 진행 중이다. 그 중 RFID 기술 기반의 학습 연구에서는 대부분 유비쿼터스 학습 환경 구축에 관한 연구가 주를 이루고 있다. 따라서 실질적인 학습에 적용하는 연구의 결과는 미미하다. 본 논문에서는 RFID기술 기반의 다국어 학습기를 구현하였다. 태그를 인식하여 특정 사물을 사용자로 하여금 모국어뿐만 아니라 다국어로도 변역하여 여러 가지 언어들을 학습할 수 있게 지원하는 장치이다. 실험에서는 13.56Mhz의 RFID 및 PXA255A ARM보드 사용하여 학습기를 제작하여 효율성 테스트를 하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.265-266
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• 2021

COVID-19로 인한 외부환경요인의 변화는 2020학년도 1학기부터 대학교육시스템에 큰 변화를 일으켰다. 초기에는 비대면으로 변화된 수업 환경에서 필요한 수업 방법으로 전환하는 데 급급하였다면 비대면 상황이 지속되면서 대면 학습의 실재감을 제공하고 학습효과를 높이는 구체적인 요인 파악과 수업 적용이 필요하게 되었다. 본 연구에서는 비대면으로 이루어지는 컴퓨터공학 분야의 대표적인 실습기반 교과목인 프로그래밍 수업에서 대면 수업의 실재감을 제공하기 위해 강의동영상 수업과 실시간 수업을 활용하여 수업주제 맞춤형 비대면 혼합형 수업 방법을 적용한 후 설문 조사를 통해 혼합형 수업에서 학습자의 참여수준(태도)가 대면수업 수준의 실재감에 미치는 영향을 조사·분석하였다. 이를 통해 비대면 수업에서는 비대면 환경에서 학습자의 상호작용을 위한 수업 참여 수준(태도)가 대면 수준으로 학습효과를 높이는데 가장 큰 영향을 미친 것으로 조사·분석하였다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.45-53
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• 2020

Conventional Convolutional Neural Network(CNN) algorithms have limitations in detecting small objects in large image. In this paper, we propose an improved model which is based on Region Of Interest(ROI) selection and image dividing technique. We prepared YOLOv3 / Faster R-CNN algorithms which are transfer-learned by airfield and aircraft datasets. Also we prepared large images for testing. In order to verify our model, we selected airfield area from large image as ROI first and divided it in two power n orders. Then we compared the aircraft detection rates by number of divisions. We could get the best size of divided image pieces for efficient small object detection derived from the comparison of aircraft detection rates. As a result, we could verify that the improved CNN algorithm can detect small object in large images.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.1
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• pp.47-56
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• 2023

Mezzanine products are financial investment products with both bond and stock characteristics, which are mainly issued by low-grade companies in the financial market to secure liquidity. Therefore, bondholders investing in mezzanine products must make decisions about when they want to convert to stocks, along with whether they invest in mezzanine products issued by the company. Therefore, in this paper, a total of 2,000 learning data and 200 predictive experimental data with stock conversion events completed by major industries are divided, and mezzanine event algorithms are designed and performance analyzed through artificial neural network models. This topic is meaningful in that it proposed a methodology to scientifically solve the difficulties of exercising mezzanine products, which are of high interest in the financial field, by applying artificial neural network technology.

• School Mathematics
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• v.17 no.1
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• pp.19-33
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• 2015

This study examined mathematics class using the CAS(Computer Algebra Systems, CAS) targeted for high school first grade students. We examined what kind of transforming of representations got up according to mathematics subject contents at this classroom. This study analyzed 15 math lessons during one month and the focus of analysis was on the classroom teacher. In particular, for transformations among representations this study mainly investigated from theoretical frameworks such as transparent and opaque representation of Lesh, Behr & Post(1987), descriptive and depictive representation of Kosslyn(1994). According to the results of this study, CAS technology affected the transforming of representations in high school math class and this transforming of representations improved the students' thinking and understanding of mathematical concepts and provided the opportunity to create the representation of individual student. Such results of this study suggest the importance of CAS technology's role in transforming of representations. and they offer the chance to reconsider the fact that CAS technology could be used to improve students' ability of transforming representations at the mathematics class.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.527-541
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• 2022

This study analyzed the structural relationship between motivation to participate in online lifelong education through YouTube, academic self-efficacy, and learning flow, where learners are rapidly increasing due to the spread of COVID-19. For this study, an online survey was conducted from July 16 to 30, 2021 for adult learners living in the metropolitan area. A total of 428 people participated in the survey, and a total of 409 copies of the results were analyzed, excluding 19 insincere responses. The main analysis results are as follows. First, The fitness of the research model was verified to be suitable for all analysis. Second, as a result of confirming the coefficients and statistical significance of each pathway in the research model, the motivation to participate in YouTube lifelong education was learning flow and academic self-efficacy, and academic self-efficacy also had a positive effect on learning flow. Third, it was confirmed that the effect of participation motivation in YouTube lifelong education on learning flow through academic self-efficacy was a statistically significant partial mediation. This study is meaningful in that it verified the structural relationship analysis between participation motive, academic self-efficacy, and learning flow in online lifelong education using YouTube reflecting the digital transformation of lifelong education due to COVID-19. Reflecting the need for re-regulation of lifelong education formed after COVID-19 and the flow of digital transformation through the research results, we discussed how lifelong education can enhance learners' motivation to participate and strengthen learning flow through academic self-efficacy as a medium.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.268-270
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• 2004

본 논문은 증강 현실(augmented reality)을 이용하여 학습자에게 효과적으로 교육할 수 있는 e-learning 교육컨텐츠 환경을 제공한다. 현재까지 연구되어온 증강환경을 이용한 교육 컨텐츠는 단순한 상호작용만을 허용하고, 실감형 인터페이스를 제공하기에는 제약이 따른다. 본 논문은 이를 개선하기 위해 기존의 교육 컨텐츠를 실감형 교육 컨텐츠로 전환할 수 있는 시스템 구성 방법에 관한 것으로써. 컨텐츠의 배치, 조작, 학습과정 등에서 기존의 교육 컨텐츠보다 인터랙티브하고 직관적으로 교육할 수 있는 실감형 인터페이스를 제공한다.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.59-73
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• 2021

This study purpose to empirically investigated the effects of Learning Presence perceived by university students at general universities who took Remote Classification in the first semester of 2020 on Learning Outcomes and the mediating effects of Learning Immersion. A total of 293 students were surveyed by conducting an online survey for about a month from Sep. 15, 2020, targeting college students attending general universities in Seoul and Gyeonggi-do. The results of the study are as follows: First, Learning Presence had an effect on Learning Immersion and Learning Outcomes, and Learning Immersion had an effect on Learning Outcomes. Second, Learning Immersion had a mediating effect on the relationship between Learning Presence and Learning Outcomes. This study is meaningful in that it verified the relationship between Learning Presence, Learning Outcomes, and Learning Immersion perceived by college students who took Remote Classification in COVID19 response dimension.