• Title/Summary/Keyword: Technology Education Model

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Higher-Order Conditional Random Field established with CNNs for Video Object Segmentation

  • Hao, Chuanyan;Wang, Yuqi;Jiang, Bo;Liu, Sijiang;Yang, Zhi-Xin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.9
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    • pp.3204-3220
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    • 2021
  • We perform the task of video object segmentation by incorporating a conditional random field (CRF) and convolutional neural networks (CNNs). Most methods employ a CRF to refine a coarse output from fully convolutional networks. Others treat the inference process of the CRF as a recurrent neural network and then combine CNNs and the CRF into an end-to-end model for video object segmentation. In contrast to these methods, we propose a novel higher-order CRF model to solve the problem of video object segmentation. Specifically, we use CNNs to establish a higher-order dependence among pixels, and this dependence can provide critical global information for a segmentation model to enhance the global consistency of segmentation. In general, the optimization of the higher-order energy is extremely difficult. To make the problem tractable, we decompose the higher-order energy into two parts by utilizing auxiliary variables and then solve it by using an iterative process. We conduct quantitative and qualitative analyses on multiple datasets, and the proposed method achieves competitive results.

An Instructional Design for the Converged English-Science Teaching Method using PBL Model in Elementary School (PBL 모형을 적용한 초등학교 영어·과학 융합 수업 모델 설계)

  • Park, In-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.66-72
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    • 2020
  • In order to cultivate talented people with national economic influence in the rapidly changing 21st- century modern society, STEM(Science Technology Engineering Mathematics) education has been emphasized in advanced countries such as America and England. In South Korea, STEAM(Science Technology Engineering Arts Mathematics) education is emphasized by adding Arts. The objective of STEAM education is to strengthen the interest and motivation of learners, to focus on experience, exploration, experimentation, to solve convergent thinking and real-life problems, rather than cramming method of teaching and memorization. This study identifiesan instructional design for converged English, the world's official language, and science which is found in nearly all disciplines. With the development of the 4th industrial revolution based on the PBL model, learners participate in their lessons voluntarily for problem-solving skills. The instructional design based on the ADDIE model consists of 5 procedures: Analysis, Design, Development, Implementation, and Evaluation. The goal of fostering talented people with national economic influence is also important, and the teacher in education must recognize the importance of STEAM education and an appropriate instructional design should be studied constantly.

Effect of Education about Blockchain Technology on Trust, Security, and Technology Acceptance Model of Virtual Assets (블록체인 기술에 대한 교육이 가상자산에 대한 신뢰, 보안성 및 기술수용모형에 미치는 영향)

  • Oh, SoYun;Han, KwangHee
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.675-683
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    • 2022
  • Blockchain, which is the basis of virtual assets such as cryptocurrency, is receiving great attention as one of the cornerstone technologies of the 4th industrial revolution. Blockchain is a technology that can fundamentally change our lives not only in finance, but also in politics, logistics, and culture. However, it shows lower-than-expected usability because it is complicated to learn and is continuously being developed. In this study, we tried to investigate whether the Technology Acceptance Model(TAM) of virtual assets can be changed through education on the underlying technology, blockchain. A video-based online experiment was conducted with a total of 103 participants and examined how the type of training(positive, negative) and measurement timing(before, after) affect perceived usefulness, perceived ease of use, acceptance, which are TAM variables, and trust and security, which are related to blockchain characteristics. As a result of the experiment, interactions were found in all dependent variables according to the type of education and measurement timing. Specifically, groups that received negative education had no difference in all variables before and after, but it was found that groups that received positive education showed an increase afterwards. Through this, it can be seen that the effect of education based on the anchoring effect is also shown in the intention to use virtual assets using block chain technology, suggesting that the intention to use blockchain related technology can be increased through positive education.

Factors influencing the Usage and Acceptance of Multimedia-based Digital Textbooks in Pilot School

  • Kim, Mi-Ryang;Choi, Mi-Ae;Kim, Jae-Hyoun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.6
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    • pp.1707-1717
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    • 2012
  • Digital textbooks, considered as core textbooks tailored to the abilities and interests of students, provide them with a combination of textbooks, reference books, workbooks, dictionaries and multimedia contents. In this paper, we employ a modified version of the Technology Acceptance Model(TAM), a model which has been widely used and empirically validated to explain why individuals use a particular information technology(IT). This paper proposes that additional variables, such as educational impacts, contents quality, interaction and enjoyment, enhance our understanding of behaviors of pilot school teachers in using multimedia-based digital textbooks as a substitute for traditional paper-version of textbooks. A structural equation model is employed with survey data from 157 pilot school teachers in pilot program supported by Korean government and KERIS(Korea Education & Research Information Service), to empirically assess the strength of the relationships in the proposed model. It is hoped that the results from this study provide meaningful insight into the development and delivery of high quality digital textbooks.

The Future of Flexible Learning and Emerging Technology in Medical Education: Reflections from the COVID-19 Pandemic (포스트 코로나 시대 플렉서블 러닝과 첨단기술 활용 중심의 의학교육 전망과 발전)

  • Park, Jennifer Jihae
    • Korean Medical Education Review
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    • v.23 no.3
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    • pp.147-153
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    • 2021
  • The coronavirus disease 2019 (COVID-19) pandemic made it necessary for medical schools to restructure their curriculum by switching from face-to-face instruction to various forms of flexible learning. Flexible learning is a student-centered approach to learning that has received interest in many educational sectors. It is a critical strategy for expanding access to higher education during the pandemic. As flexible learning includes online, blended, hybrid, and hyflex learning options, learners have the opportunity to select an instruction modality based on their needs and interests. The shift to flexible learning in medical education took place rapidly in response to the COVID-19 pandemic, and learners, instructors, and schools were not prepared for this instructional change. Through the lens of the technology acceptance model, human agency, and a social constructivist perspective, I examine students, instructors, and educational institutions' roles in successfully navigating the digital transformation era. The pandemic has also accelerated the use of advanced information and communication technologies, such as artificial intelligence and virtual reality, in learning. Through a review of the literature, this paper aimed to reflect on current flexible learning practices from the instructional design and educational technology perspective and explore emerging technologies that may be implemented in future medical education.

Improved Statistical Grey-Level Models for PCB Inspection (PCB 검사를 위한 개선된 통계적 그레이레벨 모델)

  • Bok, Jin Seop;Cho, Tai-Hoon
    • Journal of the Semiconductor & Display Technology
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    • v.12 no.1
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    • pp.1-7
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    • 2013
  • Grey-level statistical models have been widely used in many applications for object location and identification. However, conventional models yield some problems in model refinement when training images are not properly aligned, and have difficulties for real-time recognition of arbitrarily rotated models. This paper presents improved grey-level statistical models that align training images using image or feature matching to overcome problems in model refinement of conventional models, and that enable real-time recognition of arbitrarily rotated objects using efficient hierarchical search methods. Edges or features extracted from a mean training image are used for accurate alignment of models in the search image. On the aligned position and orientation, fitness measure based on grey-level statistical models is computed for object recognition. It is demonstrated in various experiments in PCB inspection that proposed methods are superior to conventional methods in recognition accuracy and speed.

A Study on Prediction Model of Scaffold Appearance Defect Using Machine Learning (기계 학습을 이용한 인공지지체 외형 불량 예측 모델에 관한 연구)

  • Lee, Song-Yeon;Huh, Yong Jeong
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.2
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    • pp.26-30
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    • 2020
  • In this paper, we studied the problem if the experiment number occurring in order to identify defect in scaffold. We need to change each of the 5 print factor to predict defect when printing disk type scaffold using FDM 3d printer. So then the number of scaffold print will be more than 100,000 times. This experiment number is difficult to perform in the field. In order to solve this problem, we have produced a prediction model based on machine learning multiple linear regression using print conditions and defect scaffold data for print conditions. The prediction model produced was verified through experiments. The verification confirmed that the error was less than 0.5 %. We have confirmed that satisfied within the target margin of error 5 %.

A Study on Prediction Model of Scaffold Pore Size Using Machine Learning (머신 러닝을 이용한 인공지지체 기공 크기 예측 모델에 관한 연구)

  • Lee, Song-Yeon;Huh, Yong Jeong
    • Journal of the Semiconductor & Display Technology
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    • v.18 no.4
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    • pp.46-50
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    • 2019
  • In this paper, We used the regression model of machine learning for improve the print quantity problem when which print scaffold with 400 ㎛ pore using FDM 3d printer. We have difficult to experiment with changing all factors in the field. So we reduced print quantity by selected two factors that most impact the pore size. We printed and measured scaffold 5 times under same conditions. We created regression model using scaffold pore size and print conditions. We predicted pore size of untested print condition using the regression model. After print scaffold with 400 ㎛ pore, we printed scaffold 5 times under same conditions. We compare the predicted scaffold pore size and the measured scaffold pore size. We confirmed that error is less than 1 % and we verified the results quantitatively.

A Study on Instructional Design Model of Music Education Applying Flipped Learning in Elementary School (플립러닝(Flipped Learning)을 적용한 초등학교 음악과 교수설계 방안 연구)

  • Park, Jeong Hye;Lee, Dong Yub
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.307-312
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    • 2022
  • In line with the 4th industrial revolution and the innovative changes of the 21st century knowledge and information society, the education field where the 2015 revised curriculum is applied is facing a situation where it is necessary to consider various teaching and learning methods. Among them, interest in instructional design applying flipped learning suitable for future education is growing, but studies on classes using flipped learning in actual music and education are rare. In general music classes currently conducted in the elementary education field, it is insufficient to learn the musical function targeted in the class. Therefore, this study developed and validated an instructional design model for elementary school music and classes that applied flipped learning based on the ADDIE model, which is a systematic instructional design model, using the design and development research methodology. Based on the developed instructional design model, major issues for each stage were presented, and major educational implications in the development process were discussed.

Convergence Reconstruction of Transition Education Model for Korean Students with Disabilities: A Feasibility View on the Development of Support System for Lifelong Education for the Disabled through the Linkage between Schools and Community (한국 장애학생 전환교육(transition education) 모델 융합 재구성: 학교-지역사회 연계 장애인평생교육지원체제 개발 타당성 관점)

  • Kim, Young-Jun;Kim, Wha-Soo;Kwon, Ryang-Hee
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.95-104
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    • 2021
  • This study was conducted for the purpose of convergence reconstruction of the transition education model for students with disabilities in Korea. Ultimately, this study was also conducted with the aim of enhancing the perspective of the development of a lifelong education support system for the disabled in connection with schools and communities. The research method consisted of a procedure with a meeting of experts based on the procedure of analyzing the previous research literature that tried to materialize the transition education model for students with disabilities from the viewpoint of connection between school age and adulthood. The contents of this study were reflected in the dimension of ensuring consistent connectivity validity based on the viewpoint of school-centered, community-centered, education, and welfare between special education and lifelong education for the disabled in order to reconstruct the conversion transition education model constructed in the current special education field. Accordingly, the transition education model for students with disabilities built in the field of special education centered on school age minimizes the tendency of a fragmented approach between school age and adulthood, and presents a standard basis and structure that can be linked to the entire adulthood. The transition education model was reconstructed convergence in terms of content.