• International Journal of Advanced Culture Technology
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• 제8권2호
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• pp.176-183
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• 2020

This study inquired about the convergence learning program for childhood based on Erikson's play theory and design education for children's behavior development. I analyzed the convergence learning programs of Summer Camps in the Pacific Science Center, Galileo Learning. The contents of the programs show the most used imaginary and symbolic contents that represent the real-world problems which are related design thinking process. The curriculums and structure of the programs are based on the design thinking method and K-12 theory. The visual thinking method and the applications are used for expressing their creativity and approaching the technical skills easily. The play concept theory is an affirmative way to strengthen the children's psychological and social development. Therefore, the convergence learning program should integrate the design thinking process and apply the play concept theory for supporting and developing the children's behavior.

• 사물인터넷융복합논문지
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• 제3권2호
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• pp.15-20
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• 2017

이 연구는 전환학습의 개념과 영역별 학습의 의미와 과정을 파악하고자 하였다. 전환학습은 세 가지 측면에서 학습이 이루어진다고 설명한다. 첫째, 도구적 학습은 가설 검증처럼 사실에 기초한 지식을 습득하는 과정에서 이루어지며, 둘째, 소통적 학습은 언어를 통해 타인의 생각이나 사회적 규범, 문화, 가치에 대한 의미를 인식하는 것이다. 셋째, 해방적 학습은 심리적, 문화적 가정에 기초하여 자기 자신을 이해하는 것으로 비판적 자기 성찰을 통해 진행된다. 전직융합교육의 시사점을 정리하면, 주요 목적은 이론구축, 운영 실제 전반에 있어서 전환학습으로의 관점 전환이 요구되며, 전직융합교육의 내용은 도구적 학습에서 소통적, 해방적 학습으로 전환되어야 한다는 것으로 요약된다.

• 디지털융복합연구
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• 제13권9호
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• pp.243-250
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• 2015

모바일 학습 콘텐츠 구현은 IT와 관광을 융합하는 IT관광 융합 학문이다. 학습의 효과를 증대하기 위해서 모바일 학습 콘텐츠를 학습 모듈별로 분류한다. 본 논문은 u-스마트 관광정보2.0 시스템을 제안한다. 모바일 학습 콘텐츠 구현은 IT 관광 융합인 u-스마트 관광정보2.0 시스템을 이용한다. 이것은 디자인 패턴과 XML를 융합하여 학습자에게 재미와 흥미를 준다. 이것은 국가 직무 능력 표준구조로 학습자들의 디자인 패턴으로 나뉘어 학습 모듈별로 수업진행이 최대 장점이다. 그 결과 학습자 출석률이 향상되며 더욱 좋은 학습효과가 나왔다. 다른 장점은 관광정보 콘텐츠 정보품질에 맞는 모바일 학습 콘텐츠를 생성하고 관광정보콘텐츠를 실시간으로 학습 할 수 있다. 또한 모바일 학습 콘텐츠 구현은 향후 국가 직무 능력 표준 학습에 많은 도움을 줄 것으로 기대된다.

• 한국실내디자인학회논문집
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• 제25권6호
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• pp.15-22
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• 2016

Recent changes in the Korean education policies are promoting the advances in science and technology and cultivating people of convergence talent. STEAM (science, technology, engineering, art and math) educational program is Korean styled convergence program for creative competent human resources. Therefore, Therefore the aim of this study is developing convergence hand-on educational program coping with climate change for elementary school students. For development of the program, we investigated the curriculum of the elementary school about the climate change, and allocated in the creative learning standard frame. Also, we selected themes related the climate change in the curriculum and learning activity. For more effective program to build the convergence competency, we analyzed the program based on creative problem based learning process and 4 core competency(creativity, communication, convergence, caring) elements. In conclusion, the STEAM program needs to develop by school curriculum and leaner's ability. For elementary school students, the STEAM program consists with creative problem based learning process. And the convergence educational program would analyze by the creative PBL process and convergence competency elements. So, this developing program has brought the promotion of the creative convergence competent talented person for the future global environment.

• 제어로봇시스템학회논문지
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• 제2권2호
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• pp.108-114
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• 1996

We present proofs of the stability and convergence of Self-organizing feature map (SOFM) neural network with time-invarient learning rate and binary reinforcement function. One of the major problems in Self-organizing feature map neural network concerns with learning rate-"Kalman Filter" gain in stochsatic control field which is monotone decreasing function and converges to 0 for satisfying minimum variance property. In this paper, we show that the stability and convergence of Self-organizing feature map neural network with time-invariant learning rate. The analysis of the proposed algorithm shows that the stability and convergence is guranteed with exponentially stable and weak convergence properties as well.s as well.

• 산업융합연구
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• 제21권1호
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• pp.147-157
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• 2023

본 연구에서는 AI 융합교육의 이해를 위해 초중고에서 이루어지고 있는 AI 융합교육의 관점에서 접근하였다. AI 융합교육에서 궁극적으로 추구하고자 하는 역량이 무엇인지 살펴보고, 현재 이루어지고 있는 AI 융합교육의 다양한 사례들을 크게 중심교과, 융합모형, AI 학습요소와 학습활동의 3가지 차원에서 분석하였다. 또한 AI 융합교육이 활발하게 이루어지기 위해서 고려되어야 할 요소로 교사의 AI 융합교육 역량 함양, AI 교수학습 방법 및 교수학습 모형 개발 및 보급, AI 융합교육을 위한 평가 방안 등에 대해 논의하였다.

• Journal of information and communication convergence engineering
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• 제21권3호
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• pp.198-207
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• 2023

Responding to changes in artificial intelligence models and the data environment is crucial for increasing data-learning accuracy and inference stability of industrial applications. A learning model that is overfitted to specific training data leads to poor learning performance and a deterioration in flexibility. Therefore, an early stopping technique is used to stop learning at an appropriate time. However, this technique does not consider the homogeneity and independence of the data collected by heterogeneous nodes in a differential network environment, thus resulting in low learning accuracy and degradation of system performance. In this study, the generalization performance of neural networks is maximized, whereas the effect of the homogeneity of datasets is minimized by achieving an accuracy of 99.7%. This corresponds to a decrease in delay time by a factor of 2.33 and improvement in performance by a factor of 2.5 compared with the conventional method.

• 전기의세계
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• 제17권1호
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• pp.48-50
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• 1968

The convergence rate of Bayes' learning process is investigated for a binomial random variable. A measure of the rate of convergence is proposed and it is found that such a measure can be approximated by an exponential function of the number of observations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2831-2845
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• 2022

Compared to the significant approach of project-based learning research, a data-driven design project-based learning has not reached a meaningful consensus regarding the most valid and reliable method for assessing design creativity. This article proposes an advanced information data-interactive learning system for creative design using a service design process that combines a design thinking. We propose a service framework to improve the convergence design process between students and advanced information data analysis, allowing students to participate actively in the data visualization and research using patent data. Solving a design problem by discovery and interpretation process, the Advanced information-interactive learning framework allows the students to verify the creative idea values or to ideate new factors and the associated various feasible solutions. The student can perform the patent data according to a business intelligence platform. Most of the new ideas for solving design projects are evaluated through complete patent data analysis and visualization in the beginning of the service design process. In this article, we propose to adapt advanced information data to educate the service design process, allowing the students to evaluate their own idea and define the problems iteratively until satisfaction. Quantitative evaluation results have shown that the advanced information data-driven learning system approach can improve the design project - based learning results in terms of design creativity. Our findings can contribute to data-driven project-based learning for advanced information data that play a crucial role in convergence design in related standards and other smart educational fields that are linked.

• Korean Journal of Radiology
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• 제22권12호
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• pp.2073-2081
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• 2021

Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.