• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.500-501
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• 2019

In the $4^{th}$ generation industry, self-directed learning is very important than Injection learning. Therefore many educational institutions has developed method of self-directed learning. In order for self-directed learning to be effective, it is more important for faculty to manage the overall process of learning rather than being directly involved in the student's academic work. Therefore, learning counseling is an important way to effectively carry out self-directed learning. In this paper, we analyze the status of open data for natural language processing that can implement the learning consultation contents so that various applications can be done through natural language processing.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.509-517
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• 2018

The present study is a convergence study aimed at investigating the effects of the blended learning method on self-directed learning and learning satisfaction of nursing students. A nonequivalent control group was designed to conduct a pre-post test for this study. The participants were assigned to the experimental(n=70) or control group(n=68). Data was analyzed using ${\chi}^2$-test, independent t-tset, and ANCOVA. The results of this study showed that self-directed learning(F=4.122, p=.044), learning satisfaction (F=4.714, p=.032) were significantly higher in the experimental group with blended learning applied than in the control group that received lecture courses for the subject adult health nursing. In other words, this study found that the blended learning method, which was designed to enable students to learn given tasks on their own outside teaching-centered lectures, can enhance the learning ability of nursing students. The results of this study indicate the need to conduct repeated studies regarding blended learning in various subjects and to develop content considering self-directed learning and learning satisfaction of learners.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.197-207
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• 2021

According to the analysis of Kolb's learning style, Korean university student pilots interpret and attach meaning to themselves. Moreover, as the school year progresses, they enter the flight-training course with a 100 % diverger style, which is a variety of thoughts and imaginative learning styles. As the school year progresses, some changes occur with accommodator (11.1%) and assimilator (15.9%) styles. On the other hand, most students remain as the diverger style (71.4%). In the case of U.S. student pilots, most in first-year are assimilator (35.5%) and converger (24.3%) styles, and the proportion of the converger style increases as the senior year is approached. In the first grade, most Chinese student pilots are assimilators (41.5%) and convergers (28.4%), but in the higher grade, the proportion of assimilators and convergers decrease, and the proportion of diverger styles increases dramatically. In the fourth grade, the accommodator was similar to the first grade, but the converger style continued to decrease (41.5% in the first grade and 27.0% in the fourth grade).

• Journal of Digital Convergence
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• v.13 no.12
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• pp.277-284
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• 2015

The purpose of the this study was to evaluate the effects of self-Control, avoidance cognitive fusion, concentration and learning attitude with high school students. For this, the group acceptance-commitment therapy programs were administered for 12 sessions on a weekly basis. 10 high school students were assigned to treatment group and 10 were assigned to control group. Both pre- post- follow-up of self-Control, avoidance cognitive fusion, concentration and learning attitude were assessed. The results were as the treatment group reported significantly lower avoid fusion to the control group. In addition, the treatment group reported significantly higher score level of self-Control, concentration and learning attitude compared to control. Results indicate that the treatment group is more capable than the control group, of decreasing avoid fusion, while increasing self-Control, concentration and learning attitude. This results suggest that can be applied effectively. Finally, limitations of the present study and suggestions were discussed.

• Communications of Mathematical Education
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• v.34 no.4
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• pp.563-585
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• 2020

This study developed teaching-learning materials for mathematics and coding convergence classes using Python, focusing on 'Prime Factorization' of seventh graders. After applying the teaching methods and contents to the students, they analyzed whether the learners achieved their learning goals. The results were used to modify and supplement teaching and learning materials. Affective domain of learners were also analyzed. The results are that the teaching methods and contents of the developed teaching-learning materials were generally appropriate for learners. The learners understood most of the lessons according to the set teaching methods of all classes. And learners have mostly reached their learning goals. In addition, as a result of analyzing the definition characteristics of learners through follow-up interviews, the interest in mathematics and programming has improved. The developed teaching and learning materials of this study are well consisted mostly of the teaching methods and the contents of the classes, and are organized so that learners can reach most of the learning goals. It also brought positive changes to the affective domain of mathematics and coding, demonstrating the potential for useful use in school.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.854-857
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• 2020

최근 사람형(Anthropomorphic)로봇손의 사물조작 지능을 개발하기 위하여 행동복제(Behavior Cloning) Deep Reinforcement Learning(DRL) 연구가 진행중이다. 자유도(Degree of Freedom, DOF)가 높은 사람형 로봇손의 학습 문제점을 개선하기 위하여, 행동 복제를 통한 Human Demonstration Augmented(DA)강화 학습을 통하여 사람처럼 사물을 조작하는 지능을 학습시킬 수 있다. 그러나 사물 조작에 있어, 의미 있는 파지를 위해서는 사물의 특정 부위를 인식하고 파지하는 방법이 필수적이다. 본 연구에서는 딥러닝 YOLO기술을 적용하여 사물의 특정 부위를 인식하고, DA-DRL을 적용하여, 사물의 특정 부분을 파지하는 딥러닝 학습 기술을 제안하고, 2 종 사물(망치 및 칼)의 손잡이 부분을 인식하고 파지하여 검증한다. 본 연구에서 제안하는 학습방법은 사람과 상호작용하거나 도구를 용도에 맞게 사용해야하는 분야에서 유용할 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.261-264
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• 2011

이 연구에서는 프로젝트 기반 초등수학교육에서 학업성취도와 수학적 태도에 대한 학습양식의 효과를 분석하였다. 이 연구는 프로젝트 기반 초등수학교육이 어떤 양식의 학습자에게 학업성취도와 수학적 태도 신장에 더 효과적인지 검증하여, 학습자 중심교육 환경 설계에 시사점을 제공하는데 목적이 있다. 104명의 초등학생을 대상으로 Kolb의 자기보고식 검사지를 사용하여 분산자, 융합자, 수렴자, 적응자 학습양식으로 분류하고, 4주간 12차시에 걸쳐 프로젝트 기반 수학교육을 실시하였다. 연구결과, 학습양식이 학업성취도와 수학적 태도 향상에 효과를 나타내었다. 프로젝트 기반 초등수학교육은 수렴자 학습양식의 학업성취도 향상에 효과적인 것으로 판단되었다. 또한, 수학적 태도의 세부요인에서는 수렴자 학습양식의 자신감, 목적의식 신장과 융합자 학습양식의 흥미신장에 효과적인 것으로 판단되었다.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.133-140
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• 2016

This paper suggests designing how to acquire English vocabularies on the smart devices based on the research that a ground-breaking English Vocabulary Learning Contents needs developing. The method makes it possible to develop the contents which helps the learners to master English vocabularies effectively on the smart phone. The core idea of this paper is as in the following: 1) English learners learn 30 vocabularies for three minutes 10 times (one is for a new learning and the other nine ones are for reviews about the first learning) a day. 2) Considering Ebbinghaus Forgetting Curve, the reflection study proposes to provide the learners with three times' reviews: one day, 10days, and 30days later from which they learn the first 30 vocabularies. This contents is mainly made up of 5 developing sections (1)to generate App ID, (2)to access App, (3)to set up Alarm, (4)to process Word learning, and (5)to monitor the result of learning. This proposed idea is optimized to enhance the memory by Ebbinghaus Periodic Repetitive Method, which makes the learners satisfied with their English vocabulary learning.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.505-508
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• 2022

딥러닝 기술이 발전하면서 적용되는 산업 분야가 늘어남에 따라 딥러닝 모델에서 역으로 학습 데이터를 추출하는 등 다양한 딥러닝 모델 공격 이슈가 발생하고 있다. 이러한 위협에 대응하기 위해 딥러닝 학습에 사용되는 데이터의 노출을 방지할 수 있도록 사용자 프라이버시를 보호하는 기법의 중요성이 대두되고 있다. 동형암호는 학습 데이터를 보호할 수 있는 기법 중 하나로, 복호화 과정없이 암호화된 상태로 연산, 탐색, 분석 등을 수행할 수 있는 차세대 암호 알고리즘이다. 본 논문에서는 동형암호 기반의 딥러닝 기법 연구 동향에 대해 알아본다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.203-206
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• 2013

본 논문에서는 컴퓨팅 집약적인 현대와 미래 사회를 대비하기 위한 컴퓨터 교육의 목표를 계산적 사고 및 이를 바탕으로 한 협력적 문제 해결 능력의 향상으로 보고 이를 실현하기 위한 컴퓨터 교육의 전망과 과제를 제시하였다. 계산적 사고 향상을 위한 컴퓨터 교육은 컴퓨터과학을 전공하는 학습자 뿐 아니라 모든 학습자를 대상으로 이루어져야 하며 이를 위해 초 중등학교 컴퓨터 교육과정의 체계적인 개선 및 계산적 사고를 바탕으로 한 간학문적 융합 학습 활동의 설계 및 평가 전략의 개발이 요구된다. 또한 여학생, 특수교육대상 학생과 같은 정보 소외 계층 학습자들의 컴퓨터과학에 대한 관심과 참여를 조장하고 협력적 문제 해결 활동을 지원하기 위한 학습 환경을 제시하여야 한다. 따라서 이러한 과제를 해결하기 위한 새로운 접근으로 예술과 컴퓨터과학의 융합 교육 활동인 E-Textiles 프로젝트의 특성과 연구 동향, 국내 적용 방안을 제시하였다.