• Korean Journal of Culture and Social Issue
• /
• v.10 no.3
• /
• pp.83-101
• /
• 2004

This study investigated the effects of social presence as means of self-awareness and interpersonal-awareness on the cyber-aggressive behavior. The cyber-aggressive behavior (flaming and direct aggression use of character) should be differ from existence of social presence and type of social presence of internet users. To test hypothesis, an experiment was executed a field study on cyberspace, an on-line game, "fortress 2 blue forever". I made a chat-room in the game site to conduct an experiment to 107 person who entered the chat-room and blinded ignorance of this situation made by researchers. As the subjects enter the chat-room, he chats with 3 researchers who were waiting before he gets in. The social presence was operated with 3 phases by the contents of the chat (①control group; nothing, ②experimental group 1; reaction about other people ③experimental group 2; reaction about other people + self-exposure by an exchange information of their home region). The studies show that, subjects of the control group behaved more aggressively than other subjects of the experimental groups(both flaming and direct aggression use of character). Meantime, I compared experimental group 1 with experimental group 2 to investigate difference between the type of social presence. As the result, subjects of the experimental group 1 behaved more aggressively than experimental group 2 (only flaming, there's no difference in direct aggression use of character).

• Journal of the Korean Chemical Society
• /
• v.67 no.6
• /
• pp.441-461
• /
• 2023

This study explore characteristics of teaching orientation and pck of science teachers in online-offline mixed learning environment. Data consisted of open-ended survey, semi-structured interview, class observation, field notes from 12 science teachers. We categorized teaching orientation considering both science education goals and science teaching·learning orientation. There were 8 different teaching orientations such as 'understanding science concepts-lecture centered' 'constructing science concepts-inquiry based' 'applying science concepts and inquiry-inquiry based' 'applying science concepts and inquiry-lectured centered' 'analyzing and judging science information-inquiry based' 'developing scientific attitude-inquiry based' 'developing scientific attitude-lecture centered' and 'developing perception of interrelationships among science, technology, and society-inquiry based'. Teachers with inquiry based teaching·learning orientation seemed to have knowledge of science curriculum specific to online learning environment for student inquiry. While teachers with 'understanding science concepts-lecture centered' teaching orientation appeared to have questioning strategy of checking student understanding and strategy of repeating a lecture, teachers with 'constructing science concepts-inquiry based' teaching orientation appeared to have knowledge of instructional strategies to perform online group activities targeting student construction of knowledge and to replace face-to-face group activities with virtual experiments and individual experiments. While teachers with 'understanding science concepts-lecture centered' teaching orientation did not show knowledge of student science learning, teachers with 'constructing science concepts-inquiry based' teaching orientation appeared to have knowledge of student difficulties in inquiry based learning.

• Journal of Korea Water Resources Association
• /
• v.56 no.spc1
• /
• pp.1027-1036
• /
• 2023

Coastal topographic information is crucial in coastal management, but point measurment based approeaches, which are labor intensive, are generally applied to land and underwater, separately. This study introduces an efficient method enabling land and undetwater surveys using an unmanned aerial vehicle (UAV). This method involves applying two different algorithms to measure the topography on land and water depth, respectively, using UAV imagery and merge them to reconstruct whole coastal digital elevation model. Acquisition of the landside terrain is achieved using the Structure-from-Motion Multi-View Stereo technique with spatial scan imagery. Independently, underwater bathymetry is retrieved by employing a depth inversion technique with a drone-acquired wave field video. After merging the two digital elevation models into a local coordinate, interpolation is performed for areas where terrain measurement is not feasible, ultimately obtaining a continuous nearshore terrain. We applied the proposed survey technique to Jangsa Beach, South Korea, and verified that detailed terrain characteristics, such as berm, can be measured. The proposed UAV-based survey method has significant efficiency in terms of time, cost, and safety compared to existing methods.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.6
• /
• pp.1321-1330
• /
• 2023

This study attempts to address the problem of 3D pose estimation for multiple human objects through a single image generated during the character development process that can be used in augmented reality. In the existing top-down method, all objects in the image are first detected, and then each is reconstructed independently. The problem is that inconsistent results may occur due to overlap or depth order mismatch between the reconstructed objects. The goal of this study is to solve these problems and develop a single network that provides consistent 3D reconstruction of all humans in a scene. Integrating a human body model based on the SMPL parametric system into a top-down framework became an important choice. Through this, two types of collision loss based on distance field and loss that considers depth order were introduced. The first loss prevents overlap between reconstructed people, and the second loss adjusts the depth ordering of people to render occlusion inference and annotated instance segmentation consistently. This method allows depth information to be provided to the network without explicit 3D annotation of the image. Experimental results show that this study's methodology performs better than existing methods on standard 3D pose benchmarks, and the proposed losses enable more consistent reconstruction from natural images.

• Journal of Wetlands Research
• /
• v.26 no.1
• /
• pp.32-40
• /
• 2024

The purpose of this study is to collect basic information about Narrow-mouthed Toad (Kaloula borealis) by analyzing the morphological characteristics of Narrow-mouthed Toad (Kaloula borealis) caught in pitfall traps. The study site is in Godeok-dong, Gangdong-gu, Seoul, and a total of 1,063 individuals were captured using pitfall traps for a total of four years from July 2016 to November 2020. Narrow-mouthed Toad (Kaloula borealis) were classified into adult and immature individuals based on length (SVL), and differences in sex ratio and shape were confirmed for adults. As a result, all adult males had a pair of white bands observed in the abdomen, and females had eggs identified in the abdomen. Through previous studies, a pair of white bands on the abdomen were determined to be male gonads, and were also confirmed in some immature individuals. The sex of the Narrow-mouthed Toad (Kaloula borealis) could be distinguished by the presence or absence of a pair of white bands located on the abdomen, and it is believed that this can be used as a sex classification method that can be confirmed in the field. During the study period, the adult sex ratio was confirmed to be 697 male (65.57%) and 366 female (34.43%), with more males. It is expected that this method of sex ratio and male/female sex ratio will be used not only for species restoration and monitoring of migration and alternative habitats due to development, but also as basic data for various ecological studies.

• Knowledge Management Research
• /
• v.24 no.4
• /
• pp.219-235
• /
• 2023

The advancement of digital technology and the impact of COVID-19 have brought about changes in corporate innovation and organizational culture, thereby highlighting the significance of Smart Learning in the field of HRD (Human Resource Development). This trend has led to an increased interest in personalized Smart Learning among employees due to the growth of hybrid work and the widespread adoption of smart work practices. This study aimed to illuminate the relative importance of the factors that constitute Smart Learning from the perspective of HRD practitioners. Through a review of prior literature, Smart Learning hierarchy and factors most fitting to the current context were identified, and their relative importance was determined using the AHP method. Consequently, in the first-tier factors, importance was confirmed in the order of 'Learning Activities', 'Teaching Activities', 'Learning Content', 'Assessment and Evaluations', and 'Learning Time and Space'. At the second-tier encompassing all factors, 'Pedagogical Strategy', 'Learning Results', 'Learning Tasks', 'Learning Goal', and 'Learning Support' emerged within the top five factors. These findings are significant in that they redefine the concept of smart learning and propose an academic framework for future research. Additionally, from a practical perspective, it is anticipated that this study will contribute valuable insights for HRD practitioners, aiding them in focusing on which factors to prioritize for enhancing and advancing Smart Learning initiatives.

• Journal of the Korea Institute of Construction Safety
• /
• v.6 no.1
• /
• pp.19-26
• /
• 2024

In this study, we analyzed the status of safety management in industrial sites and fatal accident statistics to identify problems and suggest directions for increasing the utilization of convergence engineering. Current industrial site safety management is passive, formal, and unsystematic, and at the same time, the delivery of information on site safety management is very insufficient. In addition, domestic occupational safety and health education was not systematic and could not be considered effective as it was repeating past education forms. Recently, ICT technology has been introduced throughout the industry, and this study suggests several directions for the introduction of convergence safety engineering. Keke is the organization and operation of school curriculum in a convergent manner. In addition, we proposed a plan to apply VR content and experiential education so that safety management education can be conducted in a practical and realistic manner. Lastly, it was proposed to provide differentiated education by industry and type of work, taking into account the characteristics of various industrial sites. It is expected that the results of this study will be able to emphasize the need for convergence and integrated safety education for those involved in the field of domestic industrial safety management and education.

• The Mathematical Education
• /
• v.63 no.2
• /
• pp.165-186
• /
• 2024

Despite the growing attention on artificial intelligence-based automated scoring technology as a support method for the introduction of descriptive items in school environments and large-scale assessments, there is a noticeable lack of foundational research in mathematics compared to other subjects. This study developed an automated scoring model for two descriptive items in first-year middle school mathematics using the Random Forest algorithm, evaluated its performance, and explored ways to enhance this performance. The accuracy of the final models for the two items was found to be between 0.95 to 1.00 and 0.73 to 0.89, respectively, which is relatively high compared to automated scoring models in other subjects. We discovered that the strategic selection of the number of evaluation categories, taking into account the amount of data, is crucial for the effective development and performance of automated scoring models. Additionally, text preprocessing by mathematics education experts proved effective in improving both the performance and interpretability of the automated scoring model. Selecting a vectorization method that matches the characteristics of the items and data was identified as one way to enhance model performance. Furthermore, we confirmed that oversampling is a useful method to supplement performance in situations where practical limitations hinder balanced data collection. To enhance educational utility, further research is needed on how to utilize feature importance derived from the Random Forest-based automated scoring model to generate useful information for teaching and learning, such as feedback. This study is significant as foundational research in the field of mathematics descriptive automatic scoring, and there is a need for various subsequent studies through close collaboration between AI experts and math education experts.

• IMMUNE NETWORK
• /
• v.22 no.3
• /
• pp.22.1-22.25
• /
• 2022

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndromecoronavirus-2 (SARS-CoV-2), has spread over the world causing a pandemic which is still ongoing since its emergence in late 2019. A great amount of effort has been devoted to understanding the pathogenesis of COVID-19 with the hope of developing better therapeutic strategies. Transcriptome analysis using technologies such as RNA sequencing became a commonly used approach in study of host immune responses to SARS-CoV-2. Although substantial amount of information can be gathered from transcriptome analysis, different analysis tools used in these studies may lead to conclusions that differ dramatically from each other. Here, we re-analyzed four RNA-sequencing datasets of COVID-19 samples including human bronchoalveolar lavage fluid, nasopharyngeal swabs, lung biopsy and hACE2 transgenic mice using the same standardized method. The results showed that common features of COVID-19 include upregulation of chemokines including CCL2, CXCL1, and CXCL10, inflammatory cytokine IL-1β and alarmin S100A8/S100A9, which are associated with dysregulated innate immunity marked by abundant neutrophil and mast cell accumulation. Downregulation of chemokine receptor genes that are associated with impaired adaptive immunity such as lymphopenia is another common feather of COVID-19 observed. In addition, a few interferon-stimulated genes but no type I IFN genes were identified to be enriched in COVID-19 samples compared to their respective control in these datasets. These features are in line with results from single-cell RNA sequencing studies in the field. Therefore, our re-analysis of the RNA-seq datasets revealed common features of dysregulated immune responses to SARS-CoV-2 and shed light to the pathogenesis of COVID-19.

• Analyses & Alternatives
• /
• v.8 no.1
• /
• pp.137-167
• /
• 2024

This study sought to explain the reasons why the civic education bill failed to be enacted as many as 13 times. What we discovered as a result of our research is, first, the absence of a legislative strategy by the minority member of the national assembly on this bills. The Citizenship Education Bill was a controversial bill with great potential for ideological conflict, and after the 19th National Assembly, this bill was promoted by a minority of a specific political party. The Democratic Party's sponsoring lawmakers did not use active legislative strategies, such as exerting influence within the party to have these bills adopted as the party's platform, or developing them into major pledges for the general and presidential elections. Second, there is a consistent passive response from civic groups as well as lawmakers who signed the bill in an unfavorable public opinion environment. During the legislative process, opposing opinions were overwhelming, including concerns about the spread of leftist ideology, waste of budget and organization, and violation of neutrality and fairness in education. In addition, the passive attitude of field teachers and civic groups, who should be in charge of civic education, also served as a background for the legislative failure. Third, due to a lack of sharing of reliable information on recent theoretical research and global policy trends among stakeholders, legislation through an agreement between the ruling and opposition parties failed.