• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.621-632
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• 2021

This study is about development and application of a curriculum to implement physical computing education in an online environment for pre-service teachers. First, a 15-week software and physical computing curriculum was designed according to the ADDIE instructional design model. As a tool that can be used online, education was conducted on a program using various sensors using Pocket Code, an EPL based on a smartphone. As a result of the application of the program, Personal efficacy, Pedagogical knowledge, Technology teaching content knowledge, Result expectation, and Student belief were all significantly improved. In the software attitude part, Software interest and Software value part increased significantly, and the Perception of software engineers did not change. In general, in the case of physical computing, it is difficult to execute in an online environment because it involves a lot of manipulation activity. Through various studies that can continue education in a non-face-to-face environment or a blended environment in the post-corona era, it is hoped that it will be possible to provide a high-quality curriculum to pre-service teachers in charge of future education.

• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.613-628
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• 2018

The purpose of this study is to analyze the teaching and learning process of physical computing using coding block for elementary gifted students in science. In order to obtain implications for teaching physical computing, we set the learning objectives from the Computer and Information Literacy Evaluation Standards developed by the International Association for the Evaluation of Educational Achievement(IEA) and developed a teaching and learning program for physical computing through collaboration between science education and computer education experts according to learning objectives. The developed program was related to the use of the coding block MODI(TM) and 32 classes of physical computing instruction were conducted for 15 students of the 4th to 6th grade who belong to an education institute for the gifted in science affiliated to the University. In the physical computing class, the teaching and learning process was analyzed by collecting data such as classroom videos, class observation logs, teacher and student questionnaires, and interviews. Based on the results of the study, the implications of the teaching and learning process of physical computing using the coded blocks in the school education field were suggested. And we also explored the strategy of expanding the computational thinking through the activities of coding instruction to realize creative ideas.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.141-148
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• 2023

As the direction of education in the fourth industry in the 21st century, convergence talent education that emphasizes the connection and convergence between core competency-based education and academia is emerging to foster creative talent. The purpose of this paper is to present the criteria for evaluating the competency of learning outcomes in order to develop a strategic model for innovation in engineering teaching-learning. In this paper, as a study to establish the direction of implementation of convergence talent education, a creative innovation teaching method support system was established to improve the quality of convergence talent education. Firstly, a plan to develop a teaching-learning model based on computing thinking. Secondly, it presented the development of a teaching-learning model based on linkage and convergence learning. Thirdly, we would like to present educational appropriateness and ease based on convergence learning in connection with curriculum improvement strategies based on computing thinking skills. Finally, we would like to present a strategic model development plan for innovation in engineering teaching-learning that applies the convergence talent education program.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.61-70
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• 2024

Cloud Computing is internet-based computing, where the users are provided with whatever service they need from the resources, software, and information. Recently, the security of cloud computing is considered as one of the major issues for both cloud service providers CSP and end-users. Privacy and highly confidential data make many users refuse to store their data within cloud computing, since data on cloud computing is not dully secured. The cryptographic algorithm is a technique which is used to maintain the security and privacy of the data on the cloud. In this research, we applied eight different cryptographic algorithms on Xen and KVM as hypervisors on cloud computing, to be able to measure and compare the performance of the two hypervisors. Response time and CPU utilization while encryption and decryption have been our aspects to measure the performance. In terms of response time and CPU utilization, results show that KVM is more efficient than Xen on average at 11.5% and 11% respectively. While TripleDES cryptographic algorithm shows a more efficient time response at Xen hypervisor than KVM.

• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.31-38
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• 2011

This study proposed a new education program for the information science gifted talent using unplugged computing and EPL that are new teaching approach of computer science. We analyzed unplugged computing contents and developed the advanced educational program for the information science gifted talent. We also made up a curriculum and teaching strategy and applied the elementary information science gifted talents the developed program with unplugged computing. In order to verify an effectiveness of new program, we tested t-test and found the positive results between before and after the program as well as an experimental group and the comparison group. In interview and observation about the gifted talents, we also saw that the students evaluated an unplugged computing lesson to the positive responses. We expect the proposed unplugged computing program will give many help for teaching the information science gifted talent.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.167-173
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• 2017

As the increasing use of the cloud computing, virtualization technology have been combined and applied a variety of requirements. Cloud computing has the advantage that the support computing resource by a flexible and scalable to users as they want and it utilized in a variety of distributed computing. To do this, it is especially important to ensure the stability of the cloud computing. In this paper, we analyzed a variety of component measurement using open-source tools for ensuring the performance of the system on the education system to build cloud testbed environment. And we extract the performance that may affect the virtualization environment from processor, memory, cache, network, etc on each of the host machine(Host Machine) and a virtual machine (Virtual Machine). Using this result, we can clearly grasp the state of the system and also it is possible to quickly diagnose the problem. Furthermore, the cloud computing can be guaranteed the SLA(Service Level Agreement).

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.49-56
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• 2018

Various types of SW education are being operated by universities for non-major undergraduates. And most of them focus on educating computational thinking. Following this computing education, there is a need for an educational method that implements and evaluates creative computing outcomes for each student. In this paper, we propose a method to realize SW education based on creative computing artifacts. To do this, we propose an educational method for students to implement digital logic circuit devices creatively and design SW algorithms that implement the functions of their devices. The proposed training method teaches a simple LED logic circuit using an Arduino board as an example. Students creatively design and implement two pairs of two input logic circuit devices, and design algorithms that represent patterns of implemented devices in various forms. And they design the functional extension and extended algorithm using the input device. By applying the proposed method, non-major students can gain the concept and necessity of algorithm design through creative computing artifacts.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.2
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• pp.1-22
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• 2016

While many organizations believe that cloud computing has the potential to reduce operational cost by abstracting capital assets like data storage center and processing systems into a readily on demand available and affordable operating expenses, still many of these organizations are not aware of the factors determining the performance of cloud computing technology. This paper provides a systematic literature review focusing on the factors determining the performance of cloud computing. In trying to come up with this review, the following sources were searched for relevant articles: ScienceDirect, Scientific.Net, ACMDigital Library, IEEE Xplore, Springer, World Scientific Journal, Wiley Online Library, Academic Search Premier (via EBSCOHost) and EdITLib (Education & Information Technology Digital Library). In first search strategy, approximately 100 keywords related to the research domain like; "Cloud Computing" and "Cloud Services" were used. In second search strategy, 65 keywords more related to the research domain were selected. In the third search strategy, the primary materials were identified and classified according to the paper types (Journal or Conference), year of publication and so on. Based on this study, twenty (20) factors were found that determine the performance of cloud computing. The IT organization needs to consider these twenty (20) factors in order to adopt cloud computing.

• Journal of The Korean Association of Information Education
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• v.17 no.2
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• pp.147-156
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• 2013

Computer Science has been developed thru the study of information processing, the study of what can be automated, the study of computation, and the study of information processes both natural and artificial. As developing the computer science, the aspect of informatics education was changed. Recently we focus on computational thinking education. In this paper, I review the progress of informatics education and research the applying of unplugged computing as a method of computational thinking education. I also research the considerations about applying of unplugged computing in aspects of teacher preparation, educational content, and teaching resources. As result I found that teachers change their perceptions about computer education, understand the computer science contents, and understand the promotion of students thinking skills in point of view at teacher preparation, that teachers can set the levels of abstraction and can enrich and integrate of contents, and that teacher can manage class time and educational resources preparation in point of view at educational resources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.9
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• pp.3126-3145
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• 2014

Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. A spot instance in cloud computing helps a user to obtain resources at a lower cost. However, a crucial weakness of spot instances is that the resources can be unreliable anytime due to the fluctuation of instance prices, resulting in increasing the failure time of users' job. In this paper, we propose a Genetic Algorithm (GA)-based workflow scheduling scheme that can find the optimal task size of each instance in a spot instance-based cloud computing environment without increasing users' budgets. Our scheme reduces total task execution time even if an out-of-bid situation occurs in an instance. The simulation results, based on a before-and-after GA comparison, reveal that our scheme achieves performance improvements in terms of reducing the task execution time on average by 7.06%. Additionally, the cost in our scheme is similar to that when GA is not applied. Therefore, our scheme can achieve better performance than the existing scheme, by optimizing the task size allocated to each available instance throughout the evolutionary process of GA.