• 교육시설 논문지
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• 제18권6호
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• pp.15-23
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• 2011

There are growing concerns about designing classroom or school environments influencing teaching and learning activities. However, there are little research on how students perceive the physical characteristic of the classroom and whether physical factors of classroom affects students' learning. The purpose of this study aims to reveal the different perception of college students on their classroom environments depending on where they take class, traditional classroom or newly constructed classroom. Also, the study demonstrates how the difference of classroom environment affects students' learning outcome. The results of this study suggests that classroom should be designed considering the perceptions of the students and their teaching and learning activities.

• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.56-63
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• 2023

I proposed the architectural guideline for educational environment based on design thinking approach to integrate and enhance learners' activities and achievements. The physical environment of design education learning space should be applied by teaching methods and learning activities, especially for STEAM-based convergent education, the architectural space conditions should support the design process based on design thinking. The learning environment conditions influence design education with physical design factors and learners' communication, and the flexible environment based on design thinking, which is crucial for design education. The 3 steps of design thinking experiences also allow students to learn the context of ideas, skills and outcomes. Therefore, I argued that the learning surrounding based on design thinking needs flexible and mobile, connected, integrated, organized, and team-focused environments to support learners' understanding, participation, and collaboration, and to achieve the design process based on research findings. For spaces for convergent learning environments based on design thinking, common design principles should be reviewed, such as coexistence with technology, safety and security, transparency and spatial extension, multi-purpose space and outdoor learning.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2012년도 춘계학술대회
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• pp.45-46
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• 2012

• International Journal of Internet, Broadcasting and Communication
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• 제14권3호
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• pp.131-142
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• 2022

This study aims to explore how college students have adjusted to Internet-based learning (IBL) since the pandemic and how they have subjectively experienced their Internet-based classes including live-streaming and recorded classes. We conducted a qualitative study on 16 college students in South Korea. The analysis of the in-depth interviews revealed that despite early negative experiences regarding adjustment to IBL, the participants seemed to have developed an increased sense of control over their learning and simultaneously reported a greater need for self-discipline and social support in order to stay motivated. Also, instructors' digital competence and creative attempts to facilitate class communication and discussion appeared to have influence on successful IBL. Lastly, the participants' physical learning environments seemed to impact their online learning in terms of their level of alertness and motivation for study. Implications and suggestions were discussed.

• 국제물리치료학회지
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• 제12권1호
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• pp.2261-2266
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• 2021

Background: Deep learning related research works on website medical images have been actively conducted in the field of health care, however, articles related to the musculoskeletal system have been introduced insufficiently, deep learning-based studies on classifying orthopedic manual therapy images would also just be entered. Objectives: To create a deep learning model that categorizes cervical mobilization images and establish a web application to find out its clinical utility. Design: Research and development. Methods: Three types of cervical mobilization images (central posteroanterior (CPA) mobilization, unilateral posteroanterior (UPA) mobilization, and anteroposterior (AP) mobilization) were obtained using functions of 'Download All Images' and a web crawler. Unnecessary images were filtered from 'Auslogics Duplicate File Finder' to obtain the final 144 data (CPA=62, UPA=46, AP=36). Training classified into 3 classes was conducted in Teachable Machine. The next procedures, the trained model source was uploaded to the web application cloud integrated development environment (https://ide.goorm.io/) and the frame was built. The trained model was tested in three environments: Teachable Machine File Upload (TMFU), Teachable Machine Webcam (TMW), and Web Service webcam (WSW). Results: In three environments (TMFU, TMW, WSW), the accuracy of CPA mobilization images was 81-96%. The accuracy of the UPA mobilization image was 43~94%, and the accuracy deviation was greater than that of CPA. The accuracy of the AP mobilization image was 65-75%, and the deviation was not large compared to the other groups. In the three environments, the average accuracy of CPA was 92%, and the accuracy of UPA and AP was similar up to 70%. Conclusion: This study suggests that training of images of orthopedic manual therapy using machine learning open software is possible, and that web applications made using this training model can be used clinically.

• 융합정보논문지
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• 제10권8호
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• pp.161-172
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• 2020

본 연구는 학습자의 능동적인 학습활동을 촉진하여 학습의 질을 제고하기 위해 설계된 ALC(Active learning classroom) 수업에 대한 학습자의 인식을 살펴보는 것을 목적으로 한다. 본 연구의 목적을 달성하기 위해 수도권 소재 A대학 71명의 학생(ALC 수업 43명, 일반교실 수업 28명)을 대상으로 설문조사를 실시하고, 교실 구성요소 간의 관계, 교수자의 수업전문성, 교실의 사회·문화적 환경, 심리·정서적 환경에 대한 인식을 비교하였다. 주요 연구 결과로는 첫째, ALC 수업 학생들은 교수·학습과 물리적 학습환경의 관계를 보다 긍정적으로 인식하는 것으로 나타났다. 둘째, ACL 수업 학생들은 ALC 환경을 능숙하게 다루는 측면에서의 교수자의 전문성을 긍정적으로 인식하는 것으로 나타났다. 셋째, ALC 수업 학생들은 교수자와의 비형식적 관계가 보다 촉진되었다고 인식하였으나 심리·정서적 측면에서의 만족도 및 몰입은 차이가 없는 것으로 나타났다. 본 연구는 새로운 학습공간 설계에 있어 교수·학습활동 운영을 위한 실제적인 시사점을 제공할 것으로 기대한다.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.55-61
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• 2021

In this study, a learning environment based on STEAM theory was proposed to support and improve learners' activities and achievements for convergent design education. The learning environment design influence STEAM education with intentional design and schedule coordination, schools can create informal environments that are crucial to STEAM education. The physical surroundings of the learning space should be applied to teaching methods and learning activity, especially for STEAM-based education, physical space conditions should support the learner's design thinking and process. Furthermore, STEAM-based education environment should support a vast array of experiences that allow students to learn the context around ideas and skills. For spaces for learning environment based on STEAM, common design principles should be considered such as technology integration, safety and security, transparency, multipurpose space, and outdoor learning. Therefore, the learning environment based on STEAM needs flexible and mobile, connected, integrated, organized, flipped, and team-focused surroundings to support the learners understand, participate, cooperate, and accomplish the design process.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.167-174
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• 2023

Electronic educational environments in the conditions of quarantine restrictions of COVID-19 have become a common phenomenon for the organization of distance educational activities. Under the conditions of Russian aggression, Ukrainian proof of their use is unique. The purpose of the article is to analyze the role of electronic educational environments in the process of training applicants for higher education in Ukraine in the realities of a large-scale war. General scientific methods (analysis, synthesis, deduction, and induction) and special pedagogical prognostic methods, modeling, and SWOT analysis methods were used. In the results, the general properties of the Internet educational platforms common in Ukraine, the peculiarities of using the Moodle and Prometheus platforms, and an approximate model of the electronic learning environment were discussed. The reasons for the popularity of Moodle among Ukrainian universities are analyzed, but vulnerable elements related to security are emphasized. It was also determined that the high cost of Prometheus software and less functionality made this learning environment less relevant. The conclusions state that the military actions drew the attention of universities in Ukraine to the formation of their own educational platforms. This is especially relevant for technical and military institutions of higher education.

• 로봇학회논문지
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• 제17권1호
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• pp.1-7
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• 2022

Robots are widely used in industries and services. Traditional robots have been used to perform repetitive tasks in a fixed environment, and it is very difficult to solve a problem in which the physical interaction of the surrounding environment or other objects is complicated with the existing control method. Reinforcement learning has been actively studied as a method of machine learning to solve such problems, and provides answers to problems that robots have not solved in the conventional way. Studies on the learning of all physical robots are commonly affected by noise. Complex noises, such as control errors of robots, limitations in performance of measurement equipment, and complexity of physical interactions with surrounding environments and objects, can act as factors that degrade learning. A learning method that works well in a virtual environment may not very effective in a real robot. Therefore, this paper proposes a weighted sum method and a linear regression method as an effective and accurate learning method in a noisy environment. In addition, the bottle flipping was trained on a robot and compared with the existing learning method, the validity of the proposed method was verified.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.1105-1108
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• 2003

Adaptation in dynamic environments gains a significant advantage by combining evolution and learning. We propose an on-line, realtime evolutionary learning mechanism to determine the structure and the synaptic weights of a neural network controller for mobile robot navigations. We support our method, based on (1+1) evolutionary strategy, which produces changes during the lifetime of an individual to increase the adaptability of the individual itself, with a set of experiments on evolutionary neural controller for physical robots behaviors.