• 공학교육연구
• /
• 제26권2호
• /
• pp.45-53
• /
• 2023

This study conducted and evaluated the PBL-based team activity classes in contact and untact learning. Appropriate subject (Engineering communication) was also selected and evaluation methods were improved. In the qualitative evaluation results, in contact learning, similar score ranges were formed for each task, and the variability of scores for each task was not large. In untact learning, the difference in scores for each task was rather large, and the variability of scores for each task was large, indicating a large difference between teams that performed well and teams that did not. In the quantitative evaluation, contact learning showed a little low grades, but untact learning showed relatively high grades, but there were limitations in showing the conclusion that the untact learning effect was very good. As a result of the survey, there were more positive responses to the degree of understanding of the class conducted online, the degree of help to improve competence, and the team activity. However, if untact learning continues, it was analyzed that it is necessary to prepare appropriate measures to enhance learning effects and efficiently conduct team activities.

• Journal of Information Processing Systems
• /
• 제17권3호
• /
• pp.505-517
• /
• 2021

This research presented an implementation of autostereoscopic virtual three-dimensional (3D) button device as non-contact style. The proposed device has several characteristics about visible feature, non-contact use and artificial intelligence (AI) engine. The device was designed to be contactless to prevent virus contamination and consists of 3D buttons in a virtual stereoscopic view. To specify the button pressed virtually by fingertip pointing, a simple deep learning network having two stages without convolution filters was designed. As confirmed in the experiment, if the input data composition is clearly designed, the deep learning network does not need to be configured so complexly. As the results of testing and evaluation by the certification institute, the proposed button device shows high reliability and stability.

• 한국응용과학기술학회지
• /
• 제40권1호
• /
• pp.113-122
• /
• 2023

본 연구는 미용 전공 대학생의 비대면 수업 경험이 학습몰입에 미치는 영향에 대해 알아보고 With Corona 시대에 맞는 미용 교육산업에 기초자료를 제공하기 위함에 목적이 있다. 미용 전공 대학생 300명을 대상으로 2022년 06월 07일부터 06월 21일까지 자가기입식 설문법을 실시하였으며 총 286부를 표본으로 실증 분석하였다. SPSS ver. 21.0 프로그램을 활용하여 빈도분석, 요인분석, 탐색적 요인분석, 기술통계분석, 상관관계분석, 다중회귀분석법을 사용하여 연구하였다. 그 결과, 비대면 학습경험을 요인 분석한 결과 수업만족 2개의 하위요인으로 분석되었으며 학습몰입을 요인 분석한 결과 학습 즐거움과 학습몰입의 2개의 하위요인으로 분석되었다. 수업 활동이 학습몰입의 하위요인인 학습 즐거움(𝛽=.279, p<.007)과 학습몰입(𝛽=.221, p<.031)에 통계적으로 유의미한 정(+)의 영향을 미치는 것으로 나타났다(p<.05). 수업 만족이 학습몰입의 하위요인인 학습몰입(𝛽=.223, p<.041)에 통계적으로 유의미한 정(+)의 영향을 미치는 것으로 나타났다(p<.05). 본 연구결과를 토대로 비대면 수업 경험이 학습몰입에 영향을 미친다는 사실을 알 수 있었으며 이를 통해 시대에 맞는 효율적 비대면 교육 방안이 활발히 모색되기를 기대하는 바이다.

• International Journal of Advanced Culture Technology
• /
• 제8권1호
• /
• pp.199-206
• /
• 2020

I suggested the design learning environment based on affordance concept approach for supporting and improving learners' behavior and outcome for convergent design education in this study. The design learning space should be applied teaching and learning activity, especially learners' behavior, physical space condition to support the design thinking process. The design learning space needs openness, individuality and connectivity to support the learners' behavioral to immerse, participate, cooperate, understand, think and fulfill the design thinking process. The composition principles of the learning environment for convergent design education supports communication and collaboration among members for independence and interaction. The spaces for design research and teaching needs high privacy while facilitating visual communications through special materials and wall structure design. Also, for connectivity to improve the learners' physical and visual contact, the environment of the classrooms requires flexibility and mobility by providing an open space integrating unit cells for realizing learning purpose. These are provided by formed of an open structure for inducing visual communication and physical contact to involve the design activities and the mutual interchange.

• 실천공학교육논문지
• /
• 제13권2호
• /
• pp.305-320
• /
• 2021

코로나19는 직업능력개발 분야의 교육훈련 환경을 크게 변화시켰다. 상대적으로 집체훈련 비중이 큰 직업능력개발훈련은 일부 훈련과정을 온라인 방식으로 전환하여 온라인과 오프라인을 병행하는 학습 방식이 직업능력개발훈련 현장에 실현되고 있다. 본 연구는 이러한 상황에 주목하여 기존의 집체 방식의 직업능력개발훈련을 대체할 수 있는 비대면 원격훈련시스템을 구축하기 위한 방안을 모색하는 데 그 목적이 있다. 이를 위해 대학, 공공 고등직업훈련기관, 민간 직업훈련기관 등의 학습자들을 대상으로 비대면 교육 경험을 조사하여 교육환경과 교육목적이 상이한 학습자들의 비대면 학습경험을 분석하였다. 이를 토대로 비대면 교육을 위한 원격훈련시스템 구축 방안의 초안을 구성하여, 비대면 원격훈련시스템 초안에 대한 델파이 조사를 통해 비대면 교수학습 전략, 학습 및 운영 지원 방안 등 원격훈련시스템 구축안을 제안하였다.

• 한국산학기술학회논문지
• /
• 제22권3호
• /
• pp.339-351
• /
• 2021

본 연구에서는 초, 중, 고 학생의 부모-자녀 간 대화 빈도에 대한 인식 차이에 따른 차별적인 특징을 갖는 유형을 탐색하고, 탐색된 유형에 따라 초, 중, 고 학생의 진로개발역량과 학업적 특성에 차이가 있는지 검증하였다. 이를 위해 초·중등 진로 교육 현황조사(2018) 자료를 활용하였으며, 잠재프로파일분석 방법을 사용하였다. 분석 결과, 초, 중, 고 학생의 부모-자녀 간 대화 빈도에 대한 인식 차이는 초등학생 6개 잠재계층(자녀 학교생활 대화 상, 자녀 상-부모 학교 생활 대화 상, 자녀 하-부모 하, 자녀 상-부모 상, 자녀-부모 학교생활 대화 상, 자녀 하-부모 중), 중학생 6개 잠재계층(자녀 하-부모 하, 자녀 중-부모 중, 자녀 상-부모 하, 자녀 상-부모 중상, 자녀 하-부모 상, 자녀 최상-부모 최상), 고등학생 7개 잠재계층(자녀-부모 학교생활 대화 상, 자녀 상-부모 하, 자녀 중-부모 중, 자녀 중-부모 상, 자녀 하-부모 하, 자녀 상-부모 중상, 자녀 최상-부모 최상)이 존재하는 것으로 확인되었다. 그리고 초, 중, 고 모두 잠재계층에 따라 진로개발역량(자기이해와 사회성, 직업이해, 진로탐색, 진로설계와준비도)과 학업적 특성(자율적 학습 동기, 자기주도학습)에 차이가 있는 것으로 나타났으며, 대체로 부모-자녀 모두 대화 빈도가 높다고 인식한 집단과 부모보다 자녀가 인식한 대화 빈도 수준이 높은 집단의 진로개발역량과 학업적 특성 점수가 높은 것으로 확인되었다. 본 연구는 초, 중, 고 학생은 부모와의 대화 빈도를 부모와 다르게 인식할 수 있으며, 이와 같은 인식의 차이가 진로개발역량과 학업적 특성에 영향을 미칠 수 있음을 시사한다.

• 로봇학회논문지
• /
• 제17권4호
• /
• pp.455-462
• /
• 2022

Since electric connectors such as power connectors have a small assembly tolerance and have a complex shape, the assembly process is performed manually by workers. Especially, it is difficult to overcome the assembly error, and the assembly takes a long time due to the error correction process, which makes it difficult to automate the assembly task. To deal with this problem, a reinforcement learning-based assembly strategy using contact states was proposed to quickly perform the assembly process in an unstructured environment. This method learns to generate a search trajectory to quickly find a hole based on the contact state obtained from the force/torque data. It can also learn the stiffness needed to avoid excessive contact forces during assembly. To verify this proposed method, power connector assembly process was performed 200 times, and it was shown to have an assembly success rate of 100% in a translation error within ±4 mm and a rotation error within ±3.5°. Furthermore, it was verified that the assembly time was about 2.3 sec, including the search time of about 1 sec, which is faster than the previous methods.

• 공학교육연구
• /
• 제26권6호
• /
• pp.19-29
• /
• 2023

This study aims to develop and apply a metaverse-based instructional design model for the education in science and technology. It analyzed the concept and characteristics of metaverse, existing non-contact education models, and major teaching strategies systematically. Based on the prior researches, an instructional design model using metaverse is developed that presents metaverse-related teaching strategies and design principles for the before-, during-, and after-lesson phases. Then, this model was applied to a project-based learning program, conducted a perception survey on instructors and learners, and revised the metaverse instructional design model based on the results of the survey. In the Metaverse Instructional Design Model, before-lesson phase is a physical and psychological preparation stage for class participation, which includes familiarization with the Metaverse learning environment, formation of expectations for education, and self-directed pre-learning. During the lesson, to effectively deliver the lesson content, it is necessary to build confidence in the learning environment, promote learning participation, provide reference materials, perform team projects and provide feedback, digest learning content, and transfer learning content. The after-lesson phase provides strategies for ongoing interaction between learners and mentors. This study introduces a new instructional design model that utilizes metaverse and shows the potential of metaverse-based education in science and technology. It also has important implications in that it provides practical guidelines for the effective design and implementation of metaverse-based education.

• Steel and Composite Structures
• /
• 제43권4호
• /
• pp.501-509
• /
• 2022

Cracks are common defects in concrete structures. Thus far, crack inspection has been manually performed using the contact inspection method. This manpower-dependent method inevitably increases the cost and work hours. Various non-contact studies have been conducted to overcome such difficulties. However, previous studies have focused on developing a methodology for non-contact inspection or local quantitative detection of crack width or length on concrete surfaces. However, crack depth can affect the safety of concrete structures. In particular, although macrocrack depth is structurally fatal, it is difficult to find it with the existing method. Therefore, an experimental investigation based on non-contact infrared thermography and multivariate machine learning was performed in this study to estimate the hidden macrocrack depth. To consider practical applications for inspection, an experiment was conducted that considered the simulated piloting of an unmanned aerial vehicle equipped with infrared thermography equipment. The crack depths (10-60 mm) were comparatively evaluated using linear regression, gradient boosting, and random forest (AI regression methods).

• 한국공작기계학회논문집
• /
• 제10권6호
• /
• pp.95-101
• /
• 2001

This work is concerned with construction of the intelligence stress predictor far compression strength evaluation using neural network-ultrasonic waves. The contact pressure in jointed plates was measured by using ultrasonic technique. Neural network is used to evaluate and predict contact pressure from the results of the calibration curves. The organized neural system was leaned with the accuracy of 99%, as a result of learning the ultrasonic echo ratio to the contact pressure measurement between SM45C and STS410 materials. And it could be evaluated and predicted with the accuracy of 90% in the evaluation of ultrasonic echo ratio difference in the same surface roughness and contact pressure, and 85% in the prediction of virtual ultrasonic echo ratio. Thus the proposed stress predictor is very useful for the evaluation and prediction of the contact pressure between SM45C and STS410 materials.