• Title/Summary/Keyword: background learning

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A Framework of Cross-Language Social Learning System (교차언어의 사회적 학습 시스템 프레임 워크)

  • Hao, Fei;Park, Doo-Soon;Lee, Hye-Jung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1736-1739
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    • 2015
  • Social learning encourages and enables learners with common interests to communicate and share knowledge with others through social networks. However, social learning suffers a barrier on communication among learners with various la nguage and culture background. Aiming to avoid this barrier, this paper proposes a framework of cross-language s ocial learning system which can involve more learners' participation on the web. With this framework, an illustrati ve example of task-oriented collaborative learning paradigm is elaborated. It is expected that our proposed system can stimulate more learners to share the learning resource for deep discussions as well as to promote the knowled ge innovation.

Saliency Attention Method for Salient Object Detection Based on Deep Learning (딥러닝 기반의 돌출 객체 검출을 위한 Saliency Attention 방법)

  • Kim, Hoi-Jun;Lee, Sang-Hun;Han, Hyun Ho;Kim, Jin-Soo
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.39-47
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    • 2020
  • In this paper, we proposed a deep learning-based detection method using Saliency Attention to detect salient objects in images. The salient object detection separates the object where the human eye is focused from the background, and determines the highly relevant part of the image. It is usefully used in various fields such as object tracking, detection, and recognition. Existing deep learning-based methods are mostly Autoencoder structures, and many feature losses occur in encoders that compress and extract features and decoders that decompress and extend the extracted features. These losses cause the salient object area to be lost or detect the background as an object. In the proposed method, Saliency Attention is proposed to reduce the feature loss and suppress the background region in the Autoencoder structure. The influence of the feature values was determined using the ELU activation function, and Attention was performed on the feature values in the normalized negative and positive regions, respectively. Through this Attention method, the background area was suppressed and the projected object area was emphasized. Experimental results showed improved detection results compared to existing deep learning methods.

A Study on Characteristics of Digital Learning Contents Space and Suggestion on Design Directions (디지털 학습콘텐츠 공간특성 분석과 디자인 방향 제시)

  • Kim, Mi-Shil;Moon, Jeong-Min
    • Korean Institute of Interior Design Journal
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    • v.19 no.6
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    • pp.11-19
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    • 2010
  • Technological development of information and communication have brought sharp changes to every sector such as society, culture, economy and education because of knowledge and information-oriented society. The number of classes has decreased, and some schools are closed or incorporated due to decrease of the population. Such phenomenon has brought changes to learning using digital technology and space. A change called digital innovation is characterized by interactive communication centering on the internet network. Therefore, it is very important to predict educational environment to be changed according to digital environment and to note how real learning space is changed. The development of digital technology in society in general presents two concepts of digital and contents, digitalized information. Such technology is recognized as a new paradigm in education sector and a new space is created through participation of instructors and learners in learning space. This study analysed cases of learning space of elementary schools based on bibliographical examination and related bibliography including data from academic presentations and news release to present developed leaning space. To present healthy and creative learning environment which can lead knowledge and information-based society in the future, the preface described the background, purpose, methods and range of the study, and analysed transitional processes of society and culture, digital learning contents, and learning space in education of elementary schools. Finally the study identified trends and cases of research on learning space and suggested digital learning contents space.

A Study on Problem-based Learning Model of Orthopedic Manual Physical Therapy (정형도수물리치료의 문제중심학습 모형에 관한 고찰)

  • Kim, Ho-Bong;Bang, Sang-Bun
    • The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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    • v.18 no.2
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    • pp.31-39
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    • 2012
  • Background: The purpose of this study was to develop a problem-based learning model for orthopedic manual physical therapy. A problem-based learning (PBL) model for orthopedic manual physical therapy developed from PBL module of Jeju C university (Halla-Newcastle PBL Center). A summary of this study is as follows: 1) PBL model is comprised of a class of 30 students, operated small group as of 4~5 students. 2) PBL is suggested a scenario of clinical case, induced variety reaction through group discussion and presentation. 3) PBL is occurred wide variety learning through group work activity and self-directed learning. 4) The tutor as a facilitator is played a guide for group discussion, work activity and team learning. 5) The evaluation for PBL is performed such as student self-evaluation, group activity evaluation, individual presentation, and practice. This model is considered wide variety learning through team learning and self-directed learning by clinical reasoning and problem solving for musculoskeletal clinical case. We suggest problem based learning for the education of orthopedic manual physical therapy in which the learners are very interested in and has the effective outcome.

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The Study of social factors toward Academic Satisfaction in E-Learning Education

  • Kim, Kyung-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.11
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    • pp.135-139
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    • 2016
  • This paper investigates the empirical implications. The research question of this study is to verify the influences of psychological and environmental factors toward performance satisfaction and durability of learning in E-Learning University. For empirical verification, a survey was conducted targeting 500 students in E-learning Universities. The results show that actional environment on academic satisfaction in learning is the most important factor followed by physical environment, internal motivation, and academic burnout. The effect of psychological factors on learning persistence was important in the order of academic vision, internal motivation, actional environment and physical environment. The effect of academic satisfaction on learning durability proved to be statistically significant. The results suggest that actional environment should be considered with top priority to increase the academic satisfaction. learning satisfaction, academic vision, and academic satisfaction to enhance students' intention to continue studies are important. Academic burnout has a negative effect on both academic satisfaction and learning persistence, suggesting that this aspect should be properly addresses. The effects of student background variables in E-learning were explored.

Comparison of Two Methods for Stationary Incident Detection Based on Background Image

  • Ghimire, Deepak;Lee, Joonwhoan
    • Smart Media Journal
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    • v.1 no.3
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    • pp.48-55
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    • 2012
  • In general, background subtraction based methods are used to detect the moving objects in visual tracking applications. In this paper we employed background subtraction based scheme to detect the temporarily stationary objects. We proposed two schemes for stationary object detection and we compare those in terms of detection performance and computational complexity. In the first approach we used single background and in the second approach we used dual backgrounds, generated with different learning rates, in order to detect temporarily stopped object. Finally, we used normalized cross correlation (NCC) based image comparison to monitor and track the detected stationary object in a video scene. The proposed method is robust with partial occlusion, short time fully occlusion and illumination changes, as well as it can operate in real time.

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The Effect of Background on Object Recognition of Vision AI (비전 AI의 객체 인식에 배경이 미치는 영향)

  • Wang, In-Gook;Yu, Jung-Ho
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.127-128
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    • 2023
  • The construction industry is increasingly adopting vision AI technologies to improve efficiency and safety management. However, the complex and dynamic nature of construction sites can pose challenges to the accuracy of vision AI models trained on datasets that do not consider the background. This study investigates the effect of background on object recognition for vision AI in construction sites by constructing a learning dataset and a test dataset with varying backgrounds. Frame scaffolding was chosen as the object of recognition due to its wide use, potential safety hazards, and difficulty in recognition. The experimental results showed that considering the background during model training significantly improved the accuracy of object recognition.

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University Students' Perception on the Flipped-learning-based Introductory Physics Course in which Class Hour are Divided into Lectures and Group Problem Solving (강의와 그룹문제풀이가 균형을 이루는 플립러닝 기반 일반물리학 강좌에 대한 대학생의 인식)

  • Lee, Hai-Woong;Yi, Sangyong;Cheong, Yong Wook
    • Journal of Science Education
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    • v.42 no.2
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    • pp.242-255
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    • 2018
  • Recently, flipped learning has been paid much attention as one of the improvement methods of teaching and learning at university level. Few studies investigated the effects of flipped learning in general physics classes. However, in order to be successfully established and spread new attempts such as flipped learning, it is necessary to investigate in detail the effect of flipped learning and the way it is perceived by students in accordance with other variables such as student's background and characteristic. In this study, we investigated differences in students' perception on the flipped learning and their achievement according to their background and characteristic in flipped-learning-based introductory physics course in which class hours are divided into lecture and group problem solving equally. Students' achievement was more influenced by their readiness before the beginning of the semester than their time consuming for learning during the semester. Students generally had a very positive perception of the new way of flipped-learning-based physics teaching. However, students of insufficient prior learning, or relatively not-hard learner agreed with careful selection of subjects rather than the overall expansion of flipped learning.

The mediating effect of learning flow in the relationship between blended learning achievement and learning satisfaction among dental hygiene students (치위생과 재학생의 블렌디드 러닝 수업의 학습성취도와 학습만족도간의 학습몰입 매개효과)

  • Kim, Hae-Kyeong;Cho, Myung-Sook;Oh, Na-Rae
    • Journal of Korean Dental Hygiene Science
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    • v.4 no.2
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    • pp.31-41
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    • 2021
  • Background: To investigate the mediating effect of learning flow in the relationship between blended learning achievement and learning satisfaction in dental hygiene students, and to identify whether face-to-face studies should be substituted with non-face-to-face studies. Methods: Total 134 dental hygiene students, who underwent blended learning in the dental hygiene class during the first semester of 2021, were recruited. The research tools were blended learning achievement, learning flow, and learning satisfaction, comprising 15 questions in total. Mediation regression analysis was used to analyze the mediating effect of learning flow in the relationship between learning achievement and learning satisfaction, and that between each variable. Results: Learning flow and learning satisfaction (r=0.490, p<0.001) were positively interrelated, and the interrelation between variables was statistically significant. Class environment had the biggest effect as a subfactor of class achievement, and it appeared to have an effect on class attitude and learning motive. The effect of learning flow on learning satisfaction was statistically significant. Learning flow was partially mediated by both blended learning achievement and learning satisfaction. Learning flow was directly related to blended learning satisfaction and learning achievement. Conclusion: The results showed the possible use of blended learning in dental hygiene theory and practical subjects.

A survey on the Attitudes of the Middle School Students Toward Science Using Klopfers Classification of Science Education (Klopfer의 과학 교육 목표 분류 방법에 의한 중학교 학생들의 과학에 대한 태도 조사연구)

  • Ahn, Byung-Gyun;Kim, Ik-Gyun;Soe, Kwang-Rok
    • Journal of The Korean Association For Science Education
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    • v.5 no.2
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    • pp.89-97
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    • 1985
  • The measurement tad of student's attitudes towards secondary school science had been developed according to the scheme of categories of science education object by Klopfer. Sixteen background factors of student had been chosen in order to find out a difference in student's attitudes towards secondary school science for each background factor. The twenty-eighth grade student's attitudes towards secondary school science in the Province of Chung Cheong Buk Do had been investigated by the developed tool. The findings were as follow: 1. On the whole the investigated students had favorable attitudes towards secondary school science. 2. The adoption of scientific attitudes and favorable attitudes towards science and scientists were the best affirmative attitudes. 3. The correlation between enjoyment of science learning experiences and development of interest in pursuing a career in science was the highest level. 4. The seven of sixteen background factors-sex, interest in science, science mark, location of residence, sat sifaction level at science learning, familiarity level with the name of scientific instruments and intended job-affected studentss attitudes towards secondary school science.

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