• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.301-311
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• 2020

A model of cooperative learning, Pair Programming was applied to regular class for middle school students. Algorithm and programming skill were taught through the pair programming for two week and the achievement was analyzed based on 4Cs(Critical thinking, Communication, Collaboration, Creativity) proposed by the NEA(National Education Association). The control group was statistically significant on Critical Thinking between pre-test and post-test1, while the experimental group was statistically significant on all measurements of 4Cs. Between pre-test and post-test2, the control group showed overall little difference in range of 0.2 points on the 4Cs average scores. while the experimental group was statistically significant on all measurements of 4Cs. Between post-test1 and post-test2, there was no significant difference on 4Cs average scores in both groups. The experimental group showed higher score results on all 4Cs than the control group. This study verifies that the benefits of Pair Programming on 4Cs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1951-1975
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• 2023

Recent advances in Cognitive Radio Networks (CRN) have elevated them to the status of a critical instrument for overcoming spectrum limits and achieving severe future wireless communication requirements. Collaborative spectrum sensing is presented for efficient channel selection because spectrum sensing is an essential part of CRNs. This study presents an innovative cooperative spectrum sensing (CSS) model that is built on the Firefly Algorithm (FA), as well as machine learning artificial neural networks (ANN). This system makes use of user grouping strategies to improve detection performance dramatically while lowering collaboration costs. Cooperative sensing wasn't used until after cognitive radio users had been correctly identified using energy data samples and an ANN model. Cooperative sensing strategies produce a user base that is either secure, requires less effort, or is faultless. The suggested method's purpose is to choose the best transmission channel. Clustering is utilized by the suggested ANN-FA model to reduce spectrum sensing inaccuracy. The transmission channel that has the highest weight is chosen by employing the method that has been provided for computing channel weight. The proposed ANN-FA model computes channel weight based on three sets of input parameters: PU utilization, CR count, and channel capacity. Using an improved evolutionary algorithm, the key principles of the ANN-FA scheme are optimized to boost the overall efficiency of the CRN channel selection technique. This study proposes the Artificial Neural Network with Firefly Algorithm (ANN-FA) for cognitive radio networks to overcome the obstacles. This proposed work focuses primarily on sensing the optimal secondary user channel and reducing the spectrum handoff delay in wireless networks. Several benchmark functions are utilized We analyze the efficacy of this innovative strategy by evaluating its performance. The performance of ANN-FA is 22.72 percent more robust and effective than that of the other metaheuristic algorithm, according to experimental findings. The proposed ANN-FA model is simulated using the NS2 simulator, The results are evaluated in terms of average interference ratio, spectrum opportunity utilization, three metrics are measured: packet delivery ratio (PDR), end-to-end delay, and end-to-average throughput for a variety of different CRs found in the network.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.510-521
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• 2020

The university is attempting educational innovation to cultivate talents required by society. The purpose of this study was to prove the educational effect by applying the PBL to on a fashion theoretical course. The research methods are theatrical research and model development research to guide to utilizing PBL. As a result of this study, the learners' satisfaction with the subject applying PBL was evaluated quite positively. In general, it has been shown to have a very effective effect on improving the learner's problem-solving capability, cooperative learning capability, and self-directed learning capability. In particular, the problem-solving capability is relatively high compared to other factors. The result is consistent with the educational goal of the PBL for improving the learner's problem-solving capability. Perceivable correlation analysis on the relationship between the factors to grasp the educational effect of the PBL revealed the factors with a static correlation. In particular, the problem solving capability and cooperative learning capability developed a significant correlation with self-directed learning capability. This is a testament to their ability to exert greater influence when the competencies that each learner develops are combined.

• Convergence Security Journal
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• v.16 no.5
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• pp.17-22
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• 2016

This study examined the current state of ICT utilization in physical education and presented the available physical education ICT contents configuration model. Using ICT in physical education is expected to be an alternative of overcome the bad physical education facilities and environment, also highly utilized as a valuable material that can provide specific feedback in learning motor skill. The types of ICT use in physical education classes are being utilized divided by web-use learning and application program-use learning. In composing physical education ICT contents, the server presents a problem to be solved by each student and encourage cooperative learning. If one team determines the solving idea about learning problem through team discussion, they solve the problem by repeating the process of giving teacher and other team's feedback on determining opinion. On the other hand, the class begins after learning the principle of specific movement utilizing the VTR or computer S/W in the practical training lesson of physical education. If the good hardware and software environment combine with the transformation of the recognition on physical education which has been away from the ICT, it will be able expected a broad using of ICT in physical education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.209-219
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• 2011

Most of the computer-based distance learning systems are asynchronous ones that allow students to download from the server the lecture previously given by a lecturer. While these asynchronous systems has the advantage that enable students to view the lecture with no time restriction, the study may not be effective due to the lack of support for real-time interaction between students and lecturers. Based on the student-lecturer-collaboration session model, this paper presents a collaboration session-centric synchronous distance learning system that supports real-time interaction between students and teachers, awareness information during lecture, and feedback from students. Basic feature of the proposed system include audio and video conferencing, text-based chat, and shared slide with annotation support.

• Korean Journal of Computational Design and Engineering
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• v.13 no.5
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• pp.362-371
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• 2008

Generally, a PLM education program in university consists of lectures of theory, software lab and software development raining as an advanced subject. Most industries want more than these, such as practical problem solving capabilities, teamwork skills and engineering communications including human relationship, rhetoric, technical writing, presentation and etc. Problem-Based Learning is a problem-stimulated and student-centered teaming method, and an innovative education strategy for collaborative and self-directed learning by applying real world problems. Education paradigm changes from "teaching" to "learning" accomplished by team working, and students are encouraged to develop, present, explain and defense their ideas, suggestions or solutions of a problem, and the "cooperative teaming" proceeds spontaneously during team operations. Co-operative education program is an into-grated academic model and a structured educational program combining classroom learning with productive work experience in a field related to a student's academic or career goals. Based on the partnership between academic institutions and industries, students are engaged in real and productive "work" in the industry, in contrast with merely observing. In this paper, PBL with Co-op program is suggested as an effective approach for PLM education, and we made and operated a PBL-based education course with industry co-op program. The Co-op education in industry accompanied with the PBL course in university can improve practical problem solving capabilities of students, including modeling and management of P3R(Product, Process, resource and Plant) using commercial PLM software tools. By the result, we found this to be an effective strategy for helping students, professors and industries succeed in engineering education, especially PLM area.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.9
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• pp.765-774
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• 2013

In this paper, we present a cooperative compressed spectrum sensing scheme for correlated signals in decentralized wideband cognitive radio networks. Compressed sensing is a signal processing technique that can recover signals which are sampled below the Nyquist rate with high probability, and can solve the necessity of high-speed analog-to-digital converter problem for wideband spectrum sensing. In compressed sensing, one of the main issues is to design recovery algorithms which accurately recover original signals from compressed signals. In this paper, in order to achieve high recovery performance, we consider the multiple measurement vector model which has a sequence of compressed signals, and propose a cooperative sparse Bayesian recovery algorithm which models the temporal correlation of the input signals.

• 대한공업교육학회지
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• v.31 no.2
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• pp.1-40
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• 2006

The purpose of this study was to development a model of the practical skill instruction of the special subject using the problem-based learning in the technical high schools For the study, various literature researches were reviewed intensively about problem solving process, problem -based learning, and learning principals. The process of the practical skill instruction using the problem-based learning was composed with planning, executing, testing and evaluating. In this practical skill instruction using the problem-based learning, the teacher serves as a coach or guide for students' learning. As a facilitator, the teacher challenges, questions, and stimulates the students in their thinking, problem solving and self-directed study. In this process, students represent problem by thinking aloud, assuming responsibility for their own learning, having self-directed study as well as doing cooperative study, and as a result, education changes move from teacher-centered to student-centered.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.163-171
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• 2021

In this paper, the energy transaction system was optimized by applying a resource allocation algorithm and deep reinforcement learning in the distributed power system. The power demand and supply environment were predicted by deep reinforcement learning. We propose a system that pursues common interests in power trading and increases the efficiency of long-term power transactions in the paradigm shift from conventional centralized to distributed power systems in the power trading system. For a realistic energy simulation model and environment, we construct the energy market by learning weather and monthly patterns adding Gaussian noise. In simulation results, we confirm that the proposed power trading systems are cooperative with each other, seek common interests, and increase profits in the prolonged energy transaction.

• Journal of Korean society of Dental Hygiene
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• v.23 no.4
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• pp.277-286
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• 2023

Objectives: In this study, we aimed to develop a systematic tool that can evaluate the effects of interprofessional education (IPE) by applying four core competencies (values/ethics for interprofessional practice, roles/responsibilities, interprofessional communication, and teams and teamwork) and an educational evaluation model to evaluate the learning, behavior of learners, and results step by step. Methods: Previous studies on IPE evaluation tools were analyzed, and an evaluation tool (draft) was developed by modifying questions suitable for evaluation according to the Kirkpatrick model's stages and core competencies. The evaluation tool was completed by conducting a Delphi survey twice with 4-6 experts. To analyze the Delphi survey, the content validity index (CVI) was calculated, and the reliability coefficient (Cronbach's alpha coefficient) was used to measure reliability. Results: 29 questions on pre-education, consisting of learning and behavior stages, and 54 questions on post-education, consisting of reaction, learning, behavior, and results stages, were developed. The CVI and Cronbach's alpha coefficient values were >0.8 and >0.6, respectively. Conclusions: The IPE evaluation tool developed in this study is expected to contribute to the evaluation of the educational level of IPE and the identification of points for improvement when applied to various educational settings.