• Title/Summary/Keyword: Low-Interaction

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Interaction Patterns in Distance Only Mode e-Learning

  • SUNG, Eunmo
    • Educational Technology International
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    • v.10 no.2
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    • pp.127-143
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    • 2009
  • The purpose of this study was to identify the interaction patterns in distance only mode e-Learning. In order to investigate this study, messages shown in the electronic notice board were analyzed to see how interaction occurs between teacher and learner or learner and learner under the e-learning of cyber university. To analyze messages was applied according to the framework by Henri's contents analysis model. As a result of contents analysis on electronic board, the participative dimension was 399 messages. A learner put on 7~8 messages a day. The number of messages was low compared to the number of learners, but the number of inquiries was about 140. That means that each learner contacts and checks messages at least once a day. The meaning dimension was 600 units. The main interaction patterns were Interactive-social-cognitive-metacognitive. This means that e-Learning in distance only mode leads a positive attitude of learners as a self-directed learning, and needs teacher's well-structured instructional strategies for increasing interaction. In conclusion, social dimension and interactive dimension of messages support learners psychologically in the process of learning though they directly guide learning under the circumstances of e-learning lacking face-to-face element. It can be interpreted that the teacher's role is significantly important in order to attract learners' positive participation and cognitive and meta-cognitive dimension of messages and activities

Comparison Study on Stress Sharing Characteristics of Sand or Gravel Compaction Piles with Low Replacement Area Ratio (모래와 쇄석을 이용한 저치환율 다짐말뚝공법의 응력분담특성에 관한 비교)

  • You, Seung-Kyong;Cho, Sung-Min;Kim, Ji-Yong;Shim, Min-Bo
    • Proceedings of the Korean Geotechical Society Conference
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    • 2005.10a
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    • pp.443-452
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    • 2005
  • The compaction pile methods with low replacement area ratio used sand(SCP) or gravel(GCP) has been usually applied to improvement of soft clay deposits. In order to design accurately compaction pile method with low replacement area ratio, it is important to understand the mechanical interaction between sand piles and clays and its mechanism during consolidation process of the composition ground. In this paper, a series of numerical analyses on composition ground improved by SCP and GCP with low replacement area ratio were carried out, in order to investigate the mechanical interaction between sand piles and clays. The applicability of numerical analyses, in which and elasto-viscoplastic consolidation finite element method was applied, could be confirmed comparing with results of a series of model tests on consolidation behaviors of composition ground improved by SCP. And,through the results of the numerical analyses, each mechanical behaviors of compaction piles and clays in the composition ground during consolidation was elucidated, together with stress sharing mechanism between compaction piles and clays.

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How does the Ambassador's Expertise and Attractiveness Affect on the Perception of Non Profit Organizations? (유명인 홍보대사의 전문성과 매력도가 비영리조직 인식에 미치는 연구)

  • Kim, Da Hye;Jo, Sam Sup
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.209-220
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    • 2021
  • The purpose of this study is to examine the effect of donation campaigns ambassador model in non-profit organizations. To analyze the research hypothesis, the independent variables (high awareness-high expertise, high awareness-low expertise, low awareness-expertise, low awareness-low expertise) and the dependent variables (source credibility, message credibility, attitude toward the organization, and donation intention) were measured. Interaction effect was found on the source credibility, message credibility, and donation intention. The interaction effect showed that public perceived positively if the ambassador has high cognition level on the condition of low expertise. However, the attitude toward the organization according to the PR ambassador type was not significant. The study suggested that the non profit organization would better use the ambassador of high cognition rather than expertise.

Effects of Interaction Range on the Behavior of Opinion Consensus

  • Lee, Seungjae;Cho, Young Sul;Hong, Hyunsuk
    • Journal of the Korean Physical Society
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    • v.73 no.10
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    • pp.1406-1409
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    • 2018
  • We have frequently encountered the rapid changes that prevalent opinion of the social community is toppled by a new and opposite opinion against the pre-exiting one. To understand this interesting process, mean-field model with infinite-interaction range has been mostly considered in previous studies S. A. Marvel et al., Phys. Rev. Lett. 110, 118702 (2012). However, the mean-field interaction range is lack of reality in the sense that any individual cannot interact with all of the others in the community. Based on it, in the present work, we consider a simple model of opinion consensus so-called basic model on the low-dimensional lattices (d = 1, 2) with finite interaction range. The model consists of four types of subpopulations with different opinions: A, B, AB, and the zealot of A denoted by $A_c$, following the basic model shown in the work by S. A. Marvel et al.. Comparing with their work, we consider the finite range of the interaction, and particularly reconstruct the lattice structure by adding new links when the two individuals have the distance < ${\sigma}$. We explore how the interaction range ${\sigma}$ affects the opinion consensus process on the reconstructed lattice structure. We find that the critical fraction of population for $A_c$ required for the opinion consensus on A shows different behaviors in the small and large interaction ranges. Especially, the critical fraction for $A_c$ increases with the size of ${\sigma}$ in the region of small interaction range, which is counter-intuitive: When the interaction range is increased, not only the number of nodes affected by $A_c$ but also that affected by B grows, which is believed to cause the increasing behavior of the critical fraction for $A_c$. We also present the difference of dynamic process to the opinion consensus between the regions of small and large interaction ranges.

A New Experiment on Interaction of Normal Shock Wave and Turbulent Boundary Layer in a Supersonic Diffuser (초음속디퓨져에서 발생하는 수직충격파의 난류경계층의 간섭에 관한 실험)

  • 김희동;홍종우
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.9
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    • pp.2283-2296
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    • 1995
  • Experiments of normal shock wave/turbulent boundary layer interaction were conducted in a supersonic diffuser. The flow Mach number just upstream of the normal shock wave was in the range of 1.10 to 1.70 and Reynolds number based upon the turbulent boundary layer thickness was varied in the range of 2.2*10$^{[-994]}$ -4.4*10$^{[-994]}$ . The wall pressures in streamwise and spanwise directions were measured for two test cases, in which the turbulent boundary layer thickness incoming into the supersonic diffuser was changed. The results show that the interactions of normal shock wave with turbulent boundary layer in the supersonic diffuser can be divided into three patterns, i.e., transonic interaction, weak interaction and strong interaction, depending on Mach number. The weak interactions generate the post-shock expansion which its strength is strong as the Mach number increases and the strong interactions form the pseudo-shock waves. From the spanwise measurements of wall pressure, it is known that if the flow Mach number is low, the interacting flow fields essentially appear two-dimensional, but they have an apparent 3-dimensionality for the higher Mach numbers.

Response of the Wave Spectrum to Turning Winds (풍향 변화에 대한 파랑 스펙트럼의 반응)

  • 윤종태
    • Journal of Ocean Engineering and Technology
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    • v.11 no.4
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    • pp.111-121
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    • 1997
  • The spectral energy balance model is composed and the nonlinear interaction is approximated by the discrete interaction parameterization as in WAM model. The numerical results of durational limited growth test agree very well with those of the exact model, EXACT-NL. The response of a wave spectrum to a change in wind direction is investigated numerically for a sequence of direction changes 30$^{\circ}$ , 45$^{\circ}$ , 60$^{\circ}$ , 90$^{\circ}$ . The high frequency components relax more repidly to the new wind direction than the low frequency components and the relaxation process also depends on the wave age. For wind direction changes less than 60$^{\circ}$ , the coupling by nonlinear interaction is so strong that the secondary peak in input source distribution is counteracted by the negative lobe of the nonlinear interaction. For wind direction changes grater than 60$^{\circ}$ , a second independent wind-sea spectrum is generated in the new wind direction, while the old spectrum gradually decays as swell.

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The Structural Relationship among Internal Locus of Control, Interaction, Satisfaction and Learning Persistence in Corporate e-Learning (기업 사이버교육 학습자들의 내적통제소재, 상호작용, 만족도, 학습지속의향 간의 구조적관계)

  • Joo, Young Ju;Shim, Woo Jin;Kim, Eun Kyung;Park, Su Yeong
    • Knowledge Management Research
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    • v.10 no.4
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    • pp.31-42
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    • 2009
  • With the rapid development of information technology, e-learning is growing in corporate. However, there are still problems in learning, such as low learning persistence rate. Learning outcomes are complex phenomenon influenced by a multitude of factors, it is need to considering the direct and indirect causal relationship among various factors. Therefore, the purpose of this study was to develop the causal model that explains the learning outcomes (satisfaction learning persistence) in corporate e-learning. This study was also intended to examine the causal relationship between the interaction and learning persistence through satisfaction mediators. For this, online survey was conducted with a sample of 270 learners who enrolled in cyber training course at A company. The major findings of this study are as follows: First, internality (internal locus of control, ${\beta}=.154$), interaction (${\beta}=.489$), satisfaction (${\beta}=.304$) have direct effect on learning persistence. Second, the interaction has direct effect on the satisfaction (${\beta}=.320$). Third, the satisfaction has direct effect on the learning persistence, and mediating the interaction and learning persistence. This result will contribute to build a learning strategy to improve learning outcomes.

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Factors affecting satisfaction with online lectures for real-time learning

  • Lee, Seung-Hun
    • Journal of Korean society of Dental Hygiene
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    • v.20 no.5
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    • pp.561-569
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    • 2020
  • Objectives: The purpose of this study is to investigate the interaction and satisfaction of with web-based lectures. In addition, it seeks identify their correlations as well as the factors that influence satisfaction. Methods: The study subjects consisted of 139 college students taking up dental hygiene from Suncheon. ANOVA, correlation analysis, and regression analysis were used on the data collected. The Cronbach's alpha for interaction and satisfaction were 0.949 and 0.921, respectively. Results: The interaction recorded was moderate compared to face-to-face lectures. In particular, interaction between students was higher among 3rd grade students compared to those in the 1st grade (p=0.002). Satisfaction with the appropriateness of lecture content and duration was high, but relatively low in terms of the quality of the lecture and the desire to broaden its scope. In particular, satisfaction was higher among students in higher grade levels than their more junior counterparts (p<0.05). It was also found to be positively correlated with interaction (p<0.01). Their respective presence on the educational platform had the greatest impact on satisfaction (β=0.495, p<0.001). Conclusions: Increased interaction results in greater levels of satisfaction. Furthermore, an improvement in the quality of the lectures and the students' perception of them would enable lectures to be conducted more effectively in situations wherein face-to-face lectures cannot be done.

Design of Contactless Gesture-based Rhythm Action Game Interface for Smart Mobile Devices

  • Ju, Da-Young
    • Journal of the Ergonomics Society of Korea
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    • v.31 no.4
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    • pp.585-591
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    • 2012
  • Objective: The aim of this study is to propose the contactless gesture-based interface on smart mobile devices for especially rhythm action games. Background: Most existing approaches about interactions of smart mobile games are tab on the touch screen. However that way is such undesirable for someone or for sometimes, because of the disabled person, or the inconvenience that users need to touch/tab specific devices. Moreover more importantly, new interaction can derive new possibilities from stranded game genre. Method: In this paper, I present a smart mobile game with contactless gesture-based interaction and the interfaces using computer vision technology. Discovering the gestures which are easy to recognize and research of interaction system that fits to game on smart mobile device are conducted as previous studies. A combination between augmented reality technique and contactless gesture interaction is also tried. Results: The rhythm game allows a user to interact with smart mobile devices using hand gestures, without touching or tabbing the screen. Moreover users can feel fun in the game as other games. Conclusion: Evaluation results show that users make low failure numbers, and the game is able to recognize gestures with quite high precision in real time. Therefore the contactless gesture-based interaction has potentials to smart mobile game. Application: The results are applied to the commercial game application.

Identifying Influential People Based on Interaction Strength

  • Zia, Muhammad Azam;Zhang, Zhongbao;Chen, Liutong;Ahmad, Haseeb;Su, Sen
    • Journal of Information Processing Systems
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    • v.13 no.4
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    • pp.987-999
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    • 2017
  • Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.