• Journal of Information Processing Systems
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• v.20 no.3
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• pp.375-390
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• 2024

Edge computing architecture has effectively alleviated the computing pressure on cloud platforms, reduced network bandwidth consumption, and improved the quality of service for user experience; however, it has also introduced new security issues. Existing anomaly detection methods in big data scenarios with cloud-edge computing collaboration face several challenges, such as sample imbalance, difficulty in dealing with complex network traffic attacks, and difficulty in effectively training large-scale data or overly complex deep-learning network models. A lightweight deep-learning model was proposed to address these challenges. First, normalization on the user side was used to preprocess the traffic data. On the edge side, a trained Wasserstein generative adversarial network (WGAN) was used to supplement the data samples, which effectively alleviates the imbalance issue of a few types of samples while occupying a small amount of edge-computing resources. Finally, a trained lightweight deep learning network model is deployed on the edge side, and the preprocessed and expanded local data are used to fine-tune the trained model. This ensures that the data of each edge node are more consistent with the local characteristics, effectively improving the system's detection ability. In the designed lightweight deep learning network model, two sets of convolutional pooling layers of convolutional neural networks (CNN) were used to extract spatial features. The bidirectional long short-term memory network (BiLSTM) was used to collect time sequence features, and the weight of traffic features was adjusted through the attention mechanism, improving the model's ability to identify abnormal traffic features. The proposed model was experimentally demonstrated using the NSL-KDD, UNSW-NB15, and CIC-ISD2018 datasets. The accuracies of the proposed model on the three datasets were as high as 0.974, 0.925, and 0.953, respectively, showing superior accuracy to other comparative models. The proposed lightweight deep learning network model has good application prospects for anomaly traffic detection in cloud-edge collaborative computing architectures.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.399-405
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• 2020

This study examined the effect service learning combined with self-directed study had on transferring skills from the university classroom to their practical application in local community centers. The subjects of this study were students who took service learning classes from September 1, 2019 to December 28, 2019. The research question in this paper is 'What is the relationship between service learning-based general classes and self-directed learning?'. That is, how do service learning-based general classes affect sub-elements of self-directed learning? We then tried to determine how the variables of individual learners can affect self-directed learning ability. The results showed that autonomy and problem solving were the greatest at r=.66. Openness and self-assessment (r=.60), autonomy and self-assessment (r=.55) had significant correlation. Learner autonomy had a significant correlation with facilitation and collaboration of service learning (**p<.01). According to this result of the study, it is possible for learners to deepen what they have learned at school and to practice and gain experience through community service. Further, practical problem solving and self-assessment through reflection are possible. Learners were able to inspire responsibility as members of society and increase self-esteem as democratic citizens.

• Journal of The Korean Association For Science Education
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• v.37 no.6
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• pp.993-1003
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• 2017

Teachers expect team-based project learning to help students develop collaborative and real-world problem solving skills. In practice, however, students tend to solve problems with simple division of labor, and there is a tendency that learning transfer does not occur in solving problems. The purpose of this study is to develop a collaborative learning model based on the transactive memory system (TMS) and to verify its effectiveness. The collaborative learning model based on the TMS is composed of three stages. The first stage is developing TMS. In this stage, the students learn physics concepts and make knowledge about the expertise of group members through peer instruction. The second stage, activating TMS, is building trust through solving well-defined problems for developing near-transfer. And in the third stage, applying TMS, the students solve an ill-defined problem based on real-world context for practicing far-transfer. Based on this model, a 15-week program including two projects on geometric optics and sound waves was developed and applied to 60 college students. The data for five weeks of one project were collected and analyzed. As a result, the TMS of the experimental group with the TMS-based collaborative learning model improved stepwise. Whereas, the difference between the first week and the last week was statistically significant, while the TMS change of the comparison group using the general project learning model was not significant. Also, the experimental group showed that the learning transfer occurred better in the project than the comparison group. A collaborative learning model based on TMS can be used to learn how students gain synergy through collaboration and how students collaboratively transfer the learned concepts in problem solving.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.99-122
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• 2024

This study investigated librarians' awareness of and demand for the librarian learning community in order to successfully introduce and operate the librarian learning community. For this purpose, an online survey was conducted targeting current librarians and a total of 474 responses were collected. The main analysis results are as follows. Firstly, librarians showed a very low awareness of the librarian learning community, while they highly evaluated the purpose and significance of such a community. Secondly, the motivations for librarians to participate in the librarian learning community were primarily focused on professional growth, solidarity with colleagues, and satisfaction of intellectual curiosity, in that order. Thirdly, the ultimate values of the librarian learning community were identified as improving library services, enhancing professionalism, fostering collaborative group exploration, sharing values and visions. Fourthly, the success factors of the librarian-learning community were ranked as follows: member voluntarism, a culture of collaboration among members, dedicated time (once a week), and a supportive environment (budget, space, etc.). On the other hand, the failure factors were identified as a lack of time due to heavy workloads, lack of member voluntarism, indifference from superiors, and insufficient support environment (budget, space, etc.). Finally, the willingness to participate is also very high. Furthermore, it was observed that there is a wide range of interests in various topics among librarians. The results of this study are expected to be useful as basic data for determining practical operation methods or selecting topics when operating a librarian learning community in the future.

• Asia pacific journal of information systems
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• v.22 no.2
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• pp.39-69
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• 2012

With the advent of communication technologies including electronic collaborative tools and conferencing systems provided over the Internet, virtual collaboration is becoming increasingly common in organizations. Virtual collaboration refers to an environment in which the people working together are interdependent in their tasks, share responsibility for outcomes, are geographically dispersed, and rely on mediated rather than face-to face, communication to produce an outcome. Research suggests that new sets of individual skill, knowledge, and ability (SKAs) are required to perform effectively in today's virtualized workplace, which is labeled as individual virtual competence. It is also argued that use of online social networking sites may influence not only individuals' daily lives but also their capability to manage their work-related relationships in organizations, which in turn leads to better performance. The existing research regarding (1) the relationship between virtual competence and task performance and (2) the relationship between online networking and task performance has been conducted based on different theoretical perspectives so that little is known about how online social networking and virtual competence interplay to predict individuals' task performance. To fill this gap, this study raises the following research questions: (1) What is the individual virtual competence required for better adjustment to the virtual collaboration environment? (2) How does online networking via diverse social network service sites influence individuals' task performance in organizations? (3) How do the joint effects of individual virtual competence and online networking influence task performance? To address these research questions, we first draw on the prior literature and derive four dimensions of individual virtual competence that are related with an individual's self-concept, knowledge and ability. Computer self-efficacy is defined as the extent to which an individual beliefs in his or her ability to use computer technology broadly. Remotework self-efficacy is defined as the extent to which an individual beliefs in his or her ability to work and perform joint tasks with others in virtual settings. Virtual media skill is defined as the degree of confidence of individuals to function in their work role without face-to-face interactions. Virtual social skill is an individual's skill level in using technologies to communicate in virtual settings to their full potential. It should be noted that the concept of virtual social skill is different from the self-efficacy and captures an individual's cognition-based ability to build social relationships with others in virtual settings. Next, we discuss how online networking influences both individual virtual competence and task performance based on the social network theory and the social learning theory. We argue that online networking may enhance individuals' capability in expanding their social networks with low costs. We also argue that online networking may enable individuals to learn the necessary skills regarding how they use technological functions, communicate with others, and share information and make social relations using the technical functions provided by electronic media, consequently increasing individual virtual competence. To examine the relationships among online networking, virtual competence, and task performance, we developed research models (the mediation, interaction, and additive models, respectively) by integrating the social network theory and the social learning theory. Using data from 112 employees of a virtualized company, we tested the proposed research models. The results of analysis partly support the mediation model in that online social networking positively influences individuals' computer self-efficacy, virtual social skill, and virtual media skill, which are key predictors of individuals' task performance. Furthermore, the results of the analysis partly support the interaction model in that the level of remotework self-efficacy moderates the relationship between online social networking and task performance. The results paint a picture of people adjusting to virtual collaboration that constrains and enables their task performance. This study contributes to research and practice. First, we suggest a shift of research focus to the individual level when examining virtual phenomena and theorize that online social networking can enhance individual virtual competence in some aspects. Second, we replicate and advance the prior competence literature by linking each component of virtual competence and objective task performance. The results of this study provide useful insights into how human resource responsibilities assess employees' weakness and strength when they organize virtualized groups or projects. Furthermore, it provides managers with insights into the kinds of development or training programs that they can engage in with their employees to advance their ability to undertake virtual work.

• Journal of The Korean Association For Science Education
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• v.41 no.2
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• pp.133-144
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• 2021

The purpose of this study is to explore the teaching and learning experiences to improve the positive experiences about science (PES) of scientifically-gifted elementary school students. For this study, 36 students in grades 5~6 at a gifted science education institutes in Seoul were selected and conducted pre-test and post-test for 'Test for Indicators of Positive Experiences about Science (TIPES).' After the weekly science classes of the institutions were over, individual in-depth interviews were also conducted with some students to explore the teaching and learning experiences for improving their PES. The analysis of the results reveals that the science classes for scientifically-gifted students have been shown to improve PES of scientifically-gifted elementary school students. The teaching and learning experiences to improve their PES included eight teaching and learning experiences that appeared in general elementary school students of previous study such as 'practice-centered exploratory activities,' 'student-led class,' 'positive and professional feedback,' 'construction of knowledge through exploration,' 'class considering student's interest and aptitude,' 'use of materials related to real life,' 'smooth communication and collaboration in group activities,' and 'appropriate difficulty in learning content.' There were also six teaching and learning experiences that newly emerged from science-gifted students: 'Learning experience through the strategies for improving scientific creativity,' 'inquiry experience as a little scientist,' 'advanced or accelerated learning experience,' 'learning experience with excellent students,' 'experience helping other students,' and 'experience with high or low achievement'. Based on these results, the practical implications for improving the student's PES are suggested.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.206-218
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• 2015

This single-blinded, nonequivalent control group pretest-posttest study was undertaken to evaluate the effectiveness of simulation education on clinical judgement, collaboration, communication skills, and perceived education practices and simulation design characteristics among student nurses in Korea. Participants were 47 students (19 in the experimental group and 28 in the control group) recruited by convenience sampling. The simulation based clinical reasoning education consisted of seven weekly, 120-minute high fidelity simulations. All participants completed the pretest and 7-week post measurements of a clinical judgment, collaboration, and communication skills with 4-week post measurement of collaboration, and participants in the experimental group provided a measurements of perceived education practices and simulation design characteristics. Data were analyzed using repeated measured ANOVA, and mixed linear model with SAS 9.2. Significant improvements were found in the experimental group for clinical judgment, collaboration, communication skill, and perceived education practices and simulation design characteristics. The study results show the impact of the perceived education practices and simulation design characteristics on facilitating the effectiveness of simulation education. The findings suggest a feasible and sound teaching method for student nurses and the need for further studies with a larger sample.

• Journal of The Korean Association For Science Education
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• v.37 no.1
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• pp.169-179
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• 2017

The aim of this study is to see school science education from the perspective of CoP (Community of Practice) and to explore the possibility of strategic CoP in Korean school settings. To do this, we conducted a survey using SCaCoP instrument with more than 1600 students from 14 science core schools (SCSs), which were selected across the country, and analyzed their school curriculum, which can be summarized as follows: First, compared to other tracks in SCSs, like the Nature and the Humanity Classes, students of the Science Core Class (SCC) showed significantly higher scores of CoP features for all five factors of SCaCoP (i.e. responsibility of learning, common interest, mutual relationship, open participation, and practice). Second, students of SCC considered activities that require interaction and collaboration among community members (like experiments, hands-on activities, club activities, project works, R&E) to be very positive. Third, SCC students thought that the educational activities of SCSs were not only effective to CoP aims (i.e. self-driven learning, sharing learning outcomes, peer collaboration) but also positive to general aims of science education (i.e. acquiring knowledge, understanding scientific concepts, science-related attitudes). In other words, it appears that educational activities that were effective in vitalizing the CoP have positive effects on ordinary science education, too. These features of SCSs illustrate its possibility of forming strategic COPs in the context of often government-driven Korean education and of bringing in the innovations of school science education.

• (The) Korean Journal of Educational Psychology
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• v.22 no.2
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• pp.461-478
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• 2008

This study attempted to test whether or not students' collaborative argumentation and explanation activity while using concept mapping did improve understanding on texts. Total of 52 college students participated in this study. They were randomly assigned to one of four experimental conditions. The experiment lasted for two or three weeks and students were tested on comprehension level of a text material that they have studied over the period. As a result, with two independent factors of explanation and collaboration, there was a significant interaction effect without main effects. That is, individual did better when they did have to explain what they were doing. However, this is not the case when students collaborate. Students in the paired condition, they did better when they do not have to explain what they were doing with concept maps. This study showed efficiency with using computerized software does not always guarantee higher understanding on text materials. Instructional contexts and variables, collaboration and explanation, needs to be considered. Collaborating with others and explaining their own learning processes should be carefully designed when they are combined with concept mapping contexts. How to minimize learning obstacles from discussing ideas with others are a critical issue for future research.

• Journal of Science Education
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• v.42 no.2
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• pp.182-197
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• 2018

The purpose of this study is to identify the difficulties that elementary school teachers face and the atmosphere of school fields in depth in the course of conducting science experiential learning. For this study, we conducted focus group interviews with five elementary school teachers who have had rich experiences in science field studies. Through interviews, the actual state of experiential learning operation, the operation of science experiential learning including planning, progress and evaluation of experiential learning operation. The main results of this study are as follows: Teachers were most concerned about budget, and were burdened with curriculum reconstruction for science experiential learning. In addition, teachers expressed their lack of expert scientific knowledge with science experiential learning, and difficulties with collaboration with science-specialized teachers. In sum, teachers consider budget, site, and administrative convenience first, rather than effects of science experiential learning. The significance of this study is identifying the selection of topics, methods, educational expectations, and problems of science experiential learning topics, which were difficult to identify in previous studies.