• Journal of The Korean Association For Science Education
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• v.21 no.2
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• pp.279-288
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• 2001

In this study, interaction patterns in peer small-group discussions with cognitive conflict strategy (CCS) and those with social consensus strategy (SCS) were compared. Verbal interactions of four small groups (16 students) in learning science concepts were analyzed at the levels of turns, interaction units, and episodes. The frequencies of total turns and knowledge construction turns per discussion for the SCS group were higher than those for the CCS group. Comparing and evaluating hypotheses and discussion worksheets provided were especially effective in increasing metacognitive utterances of the SCS group students. The frequencies of 'most students participating mode', 'elaborative interaction mode', and 'exploratory episode' for the SCS group were higher than those for the CCS group. These suggested that more students in the SCS group participated in small-group discussions and their discussions were more interactive and elaborative. The interactions and episodes of the SCS group were also superior in quality to those of the CCS group.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2496-2512
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• 2021

The requirements for powerful computing capability, high capacity, low latency and low energy consumption of emerging services, pose severe challenges to the fifth-generation (5G) network. As a promising paradigm, mobile edge networks can provide services in proximity to users by deploying computing components and cache at the edge, which can effectively decrease service delay. However, the coexistence of heterogeneous services and the sharing of limited resources lead to the competition between various services for multiple resources. This paper considers two typical heterogeneous services: computing services and content delivery services, in order to properly configure resources, it is crucial to develop an effective offloading and caching strategies. Considering the high energy consumption of 5G base stations, this paper considers the hybrid energy supply model of traditional power grid and green energy. Therefore, it is necessary to design a reasonable association mechanism which can allocate more service load to base stations rich in green energy to improve the utilization of green energy. This paper formed the joint optimization problem of computing offloading, caching and resource allocation for heterogeneous services with the objective of minimizing the on-grid power consumption under the constraints of limited resources and QoS guarantee. Since the joint optimization problem is a mixed integer nonlinear programming problem that is impossible to solve, this paper uses deep reinforcement learning method to learn the optimal strategy through a lot of training. Extensive simulation experiments show that compared with other schemes, the proposed scheme can allocate resources to heterogeneous service according to the green energy distribution which can effectively reduce the traditional energy consumption.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.19 no.2
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• pp.165-186
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• 2008

The purpose of this study is to indicate a case that applied forming a instructional community-establishing instructional strategies-developing learning and assessment toolkits as a connective strategy between information literacy and curricula to foster the Library-Assisted instruction(LAI). In this case a new instructional community consisted of a teacher librarian, a korean language teacher, a korean history teacher and a korean geography teacher of the 10th grade. The community developed integrated learning topics connected with subject-specific classes and designed LAI's instructional strategy. Finally learning and assessment toolkits containing information problem solving and resources using model were designed by this community. This method can provide students with enough time in using resources and teach information literacy systematically. Also it will help teacher librarians improve leadership and partnership in the school community.

• Journal of the Korea Institute of Building Construction
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• v.24 no.3
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• pp.355-362
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• 2024

The sustained upkeep of apartment buildings necessitates ongoing maintenance and timely repairs, particularly given their complex nature due to extensive areas, common facilities, and multiple residential and service structures. Additionally, the need for cost-effective maintenance is paramount for ensuring safety, preserving value, and maintaining economic efficiency. However, the multitude of external variables influencing apartment complex maintenance, coupled with the challenges in data collection, have resulted in limited research in this domain. To address this gap, the current study aims to develop a framework for predicting maintenance costs utilizing deep learning techniques, grounded in real-world apartment complex maintenance cost data. This study intends to provide a practical and valuable contribution to the field of apartment complex management, empowering stakeholders with enhanced predictive capabilities for optimizing maintenance strategies and resource allocation.

• Korean Journal of Remote Sensing
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• v.40 no.1
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• pp.33-43
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• 2024

This research assessed the applicability of the You Only Look Once (YOLO)v8 and DeepLabv3+ models for the effective detection of compost heaps, identified as a significant source of non-point source pollution. Utilizing high-resolution imagery acquired through Unmanned Aerial Vehicles(UAVs), the study conducted a comprehensive comparison and analysis of the quantitative and qualitative performances. In the quantitative evaluation, the YOLOv8 model demonstrated superior performance across various metrics, particularly in its ability to accurately distinguish the presence or absence of covers on compost heaps. These outcomes imply that the YOLOv8 model is highly effective in the precise detection and classification of compost heaps, thereby providing a novel approach for assessing the management grades of compost heaps and contributing to non-point source pollution management. This study suggests that utilizing UAVs and deep learning technologies for detecting and managing compost heaps can address the constraints linked to traditional field survey methods, thereby facilitating the establishment of accurate and effective non-point source pollution management strategies, and contributing to the safeguarding of aquatic environments.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.1-8
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• 2019

Virtual Training is an educational exercise in which the environment or the situation is virtually implemented for specific training and proceed like a real situation. In recent years, the virtual reality technology has developed rapidly, and the demand for experiencing situation that are not directly experienced in the real world is increasing more and more in virtual reality. Particularly, there is an increasing demand of contents for hands-on training and virtual training for equipment training that replaces high-risk and high-cost industry training. The virtual training contents have been developed and utilized for the purpose of technical training. However, it is known that virtual training is more effective when it is used as a supplementary training material or combined with e-learning contents rather than replacing one training course with virtual training contents because purpose and effect are different from general technical training course. In this study, we explored the development method for effective utilization of electrohydraulic servo control process, which is the virtual reality contents developed in 2017 in combination with e-learning contents. In addition, in order to establish a teaching and learning strategy, we actually develop and operate a case studies using virtual training contents. Surveys and case studies are conducted to investigate the effects of teaching and learning strategies applied in the classroom on students and their educational usefulness.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.926-932
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• 2009

Recently many research reports on effective use of mobile devices for museums to provide information on displayed artifacts providing individualized learning space, collaborative learning, and discovery learning, Such devices have many possibilities to support learning as a participatory media and social network. Mobile devices are used, however, limited for its usability and lack in providing expected learning experiences. It offers one-way interaction and they are often limited in providing customized services for different patrons to experience learning and entertainment. In this research, we have adopted user centered design approach to identify the needs and possible usage of PDA system in the museum. Research methods include contextual observation and inquiry with symbolic interactionism for qualitative research and its epistemology. We have developed conceptual model with scenario and storyboard method, and developed vertical prototype with Flash.

• Journal of the Korean Society of Earth Science Education
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• v.10 no.1
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• pp.26-37
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• 2017

The purpose of this study was to investigate secondary pre-service science teachers' misconceptions of tide and to develop a learning module that can change misconceptions into scientific concepts and to examine the effect of the learning module for conceptual change. In order to achieve the purpose of the study, the researcher developed the test tool of tidal phenomena and the learning module using cognitive conflict strategy. The subjects of this study were 40 first year students who majored science education at a college of education in G metropolitan city. The results of this study are as follows. First, secondary pre-service science teachers had various misconceptions about tidal phenomena. Second, the developed learning module was effective in changing misconceptions about tide of pre-service science teachers into scientific concepts. However, some students had misconceptions about tidal phenomena after learning the developed module. The typical misconception was that they could not distinguish the centrifugal force generated when the earth and the moon revolve about the center of common mass as the center of rotation and the centrifugal force generated by the earth's rotation. And they did not know that they should not consider the earth's rotation while the earth was revolving around the center of common mass.

• Journal of The Korean Association For Science Education
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• v.30 no.5
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• pp.621-635
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• 2010

Problem-based Learning (PBL) has been known as an effective strategy for dealing with various aspects of education such as the enhancement of students' motivation, interest in subjects, academic achievement, and cooperative abilities. However, PBL has not been widely implemented in secondary schools. The purpose of this study is to investigate secondary school teachers' perception of problem-based learning and their way of applying it. Data was collected through semi-structured interviews with nine secondary school teachers. Five of them had experience in implementing PBL, while four of them had interest in using PBL but had not yet had the experience. Different concepts were extracted and categorized. Nvivo 2.0 was used for analysis. The results were as follows: Changes in student attitude toward class, improvement on cooperation with others, self-regulated learning skills, and satisfaction from students' positive comments on PBL enabled teachers to become more enthusiastic and positive toward PBL. The stress of developing proper problems and the enormous amounts of time and efforts required in using PBL were shown as barriers for teachers in implementing PBL. However, some negative perspectives about PBL changed into positive after teachers experience PBL. By examining each teacher's way of implementing PBL, several teaching strategies suitable to their school systems were suggested.

• Journal of The Korean Association For Science Education
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• v.39 no.3
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• pp.321-335
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• 2019

This study aims to explore the influencing factors and the process of enhancing science self-efficacy (SSE) and to lay the foundation in understanding science self-efficacy of students. The ten categories related to the science self-efficacy were derived through the coding of the interview data based on the grounded theory and paradigm analysis to develop a process model of science self-efficacy improvement. Through the process analysis, four cyclical phases were found in the process of enhancing SSE: 'Entering into learning science' phase, 'enhancing SSE' phase, 'adjustment' phase, and 'result' phase. More specifically, the phase of 'entering into learning science' is where students choose science track and stimulated to construct SSE. The phase of 'enhancing SSE' is where students taking a science track actively learn science and perform science activities. In the phase of 'adjustment', students come to have successful performance about learning science and performing science activities by using diverse strategies. Finally, 'result' phase indicates different appearances of students depending on SSE levels. The phases were non-linear and periodically repeat depending on situation. The core category in the selective coding was indicated to be 'enhancing science self-efficacy.' Students' SSE form by learning science and performing science activities. These finding may help better understand the behavior of students who are taking a science track by facilitating effective science learning through the increase of their SSE levels.