• The Journal of Information Systems
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• v.29 no.2
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• pp.27-50
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• 2020

Purpose The research on the effective use of IS needs to embrace the alignment to organization learning process, which expands the limited focus on dynamic capability of IS use. In addition, it should be done in multi-level analysis with system, user, task, and organization. The current study suggests the inclusion of multi-level analysis of effective use of IS in the perspective of exploration and exploitation. Design/methodology/approach This review selected the representative studies in IS discipline which have investigated the effective use of IS, dynamic capability, operational capability, exploration, exploitation, or organizational learning. In the search of academic archives with those keywords, seventeen papers which have been most cited were chosen and validated whether the focus constructs are directly theorized or validated the suggested keywords. In addition, the level of analysis was verified whether it includes one or more levels of system, individual, task, or organization. Based on the initial analysis of dynamic capability, the further review of research on explorational and exploitational capabilities was implemented. Findings The present review study on previous literature on effective use of IS presented that it is largely implemented in the level of individual but few of them has included organization level. Similarly, the direct investigation of explorational and exploitational use of IS has not been done so much. The needs of study on effective use of IS in depth have been inquired for a decade. However, the review presented that it still lacks profound theories and empirical validations compared to those of adoption stage of IS. Based on the review, future research on the transition between explorational and exploitational use of IS is suggested.

• School Mathematics
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• v.5 no.3
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• pp.361-384
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• 2003

The purpose of this study was to investigate students' problem solving process based on the model of IDEAL if they learn to solve word problems of simultaneous linear equations through structure-representation instruction. The problem solving model of IDEAL is followed by stages; identifying problems(I), defining problems(D), exploring alternative approaches(E), acting on a plan(A). 160 second-grade students of middle schools participated in a study was classified into those of (a) a control group receiving no explicit instruction of structure-representation in word problem solving, and (b) a group receiving structure-representation instruction followed by IDEAL. As a result of this study, a structure-representation instruction improved word-problem solving performance and the students taught by the structure-representation approach discriminate more sharply equivalent problem, isomorphic problem and similar problem than the students of a control group. Also, students of the group instructed by structure-representation approach have less errors in understanding contexts and using data, in transferring mathematical symbol from internal learning relation of word problem and in setting up an equation than the students of a control group. Especially, this study shows that the model of direct transformation and the model of structure-schema in students' problem solving process of I and D stages.

• Journal of Practical Engineering Education
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• v.8 no.2
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• pp.103-109
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• 2016

In order to get the maintenance work for the normal operation of rail vehicles made safe maintenance training, which looked suffered direct physical train maintenance environment, gain experience to get out foster the practical skills, but experience the real maintenance in operational problems the maintenance procedures followed are difficult to be. So it can gain experience and knowledge of the actual maintenance work in safe conditions if you apply a simulation experience in a similar environment as possible to the actual train maintenance training can also reduce operational training costs. For a description of the current domestic and simulation programs of the railway sector it has been operating in overseas and is designed to train intensive training, maintenance and maintenance-related information is scarce situation. In this study, the contents of the theory of educational technology for effective training of train maintenance elements exhibit theory, theory of learning situations, designed to train maintenance training simulation through a previous study that investigated the problem-based learning theory.

• Journal of the Korean Society of School Health
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• v.9 no.1
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• pp.31-41
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• 1996

School health promotion is related to reinforce on various roles of school health teachers including health instruction, health services, healthful school living. In this aspects, there would be necessory for qualified continous education proceed to activate roles of school health teachers. So the objectives of this study are first, to develop curriculum framework for inservice training of health school nurses, second, to descrive of curriculum objectives, third, to state of curriculum objectives and learning methods. There were used study methods as literature review, expert conferencing and workshop. Major results are as follows; 1. Curriculum framework for inservice training of health school nurses was constitute of major variables of health care model and direct services role of school health teacher such as health service, health instruction and healthful environment area. 2. The curriculum for health instruction were different from elementary school and middle school. 3. Time distribution for curriculum was composed of that health service is 12hours, health instruction is 96 hours and healthful environment is 12 hours. 4. The learning methods for inservice training were suggested to intensify positive attitude through the discussion and practical exercise. 5. The curriculum objectives were classified by total, area and a course of study and time summary table was suggested. In conclusion, the developed curriculum would be contribute to improve of practical ability for school health teachers. And to increase of inservice training effect, there should be operate in order to participate trainees activately and to be educate concurrently. Also, there are necessary for execute in series of the program such as standized text developing by course, evaluation index developing and instructor education etc.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3917-3941
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• 2019

The recent interest in artificial intelligence and machine learning has partly contributed to an interest in the use of such approaches for hyperspectral remote sensing (HRS) imagery classification, as evidenced by the increasing number of deep framework with deep convolutional neural networks (CNN) structures proposed in the literature. In these approaches, the assumption of obtaining high quality deep features by using CNN is not always easy and efficient because of the complex data distribution and the limited sample size. In this paper, conventional handcrafted learning-based multi features based on expert knowledge are introduced as the input of a special designed CNN to improve the pixel description and classification performance of HRS imagery. The introduction of these handcrafted features can reduce the complexity of the original HRS data and reduce the sample requirements by eliminating redundant information and improving the starting point of deep feature training. It also provides some concise and effective features that are not readily available from direct training with CNN. Evaluations using three public HRS datasets demonstrate the utility of our proposed method in HRS classification.

• Journal of the Korea Computer Graphics Society
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• v.25 no.4
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• pp.9-16
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• 2019

In this paper, we propose a hydrodynamic scene separation method for wave propagation from video imagery using autoencoder. In the coastal area, image analysis methods such as particle tracking and optical flow with video imagery are usually applied to measure ocean waves owing to some difficulties of direct wave observation using sensors. However, external factors such as ambient light and weather conditions considerably hamper accurate wave analysis in coastal video imagery. The proposed method extracts hydrodynamic scenes by separating only the wave motions through minimizing the effect of ambient light during wave propagation. We have visually confirmed that the separation of hydrodynamic scenes is reasonably well extracted from the ambient light and backgrounds in the two videos datasets acquired from real beach and wave flume experiments. In addition, the latent representation of the original video imagery obtained through the latent representation learning by the variational autoencoder was dominantly determined by ambient light and backgrounds, while the hydrodynamic scenes of wave propagation independently expressed well regardless of the external factors.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.43-53
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• 2019

This study has explored the trajectory of the development and diffusion of the CTLs in the Korean universities by using isomorphism theory of neo-institutionalism. Neo-institutional theorists believe that organizational structure and behavior reflects the norms and values recognized in the society rather than the organization's autonomous and rational choices. Based on the isomorphism framework, the introduction and diffusion of the CTLs in the Korean universities have been led by the government. In addition, the CTLS(Korean Association of Center for Teaching & Learning) has served as a direct basis for the normative pressures. In other words, the CTLs have been securing devices for the universities to acquire external justification by the environment, and they have been able to confirm that the system was isomorphed, in particular by meeting and agreeing with the government-set university evaluation criteria. Efforts should be made to develop unique values and strategies that enable CTLs to become engines of the development of university education in response to rapid changes in the academic environment.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.401-411
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• 2022

This study tests a model for the effect of low self-control on cyber crime and its mediating process. Intervening variables include smartphone addiction, social learning and opportunity variables. Analyzing a data from college students in Seoul, it is shown that the effect of low self-control has a significant effect on smartphone addiction. Results also show that smartphone addiction has a positive significant effect on differential association with illegal peers, illegal definition, and illegal opportunity, and in turn cybercrime. In addition, it is found that low self-control has also a direct effect on differential association with illegal peers, illegal definitions, and illegal opportunity without mediating by smartphone addiction. As a result, it is reveal that the effect of low self-control on cybercrime is indirect and its effect is mediated by smartphone addiction, differential association with illegal peers, illegal definitions, and illegal opportunity.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.133-139
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• 2024

In response to the challenges posed by a super-aged society, local authorities are conducting educational programs on smartphone usage tailored for the elderly. However, obstacles such as the limitations of one-to-many education and suboptimal learning outcomes for the elderly have hindered the efficacy of smartphone education. This study suggests an educational service intended for direct application in offline settings, considering the identified problems. Through the utilization of generative AI, the proposed app identifies specific challenges encountered by users during actual smartphone use, offering personalized exercises to facilitate customized and repetitive learning experiences for individual users. When integrated with existing local government education initiatives, this app is anticipated to enhance the efficiency of smartphone education by providing personalized, one-on-one training that is efficient in terms of time and content.

• Journal of Information Technology Applications and Management
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• v.30 no.1
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• pp.21-32
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• 2023

This study presents a way to design picture books that allow children to experience indirectly through realistic media at home and educational institutions for children whose direct experiences and activities are reduced offline in the post-COVID-19 era. The development and popularization of realistic media such as AR continues to be grafted and developed in the picture book field, and the advantage of this picture book is that children at the stage before learning letters can feel the story and character situation of the book through the experience of AR and QR animation in the picture book. In this process, you can get access to imaginary areas that can not be experienced in flat-panel illustrations with spatial animation to help improve the scalability and literacy of the story contained on the page. Children's education through realistic animation can increase the learning effect and needs to continue after COVID-19. Therefore, by presenting the process of viewing and experiencing picture books using AR and QR, the result of the study suggests that the design process of realistic picture books is not just a combination of technology, but a process of expanding children's perception and imagination. This study aims to find out how visual perception is designed differently by analyzing the differences and characteristics of each animation design, focusing on the AR and QR picture book "Where am I?" published by the researcher, and to contribute to the active introduction and development of realistic animation in the field of children's picture books and education.