• Journal of the Korean Society for information Management
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• 제37권3호
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• pp.221-252
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• 2020

According to the participants, the current K-MOOC (Korean Massive Open Online Course) has a few problems, such as too few courses, low content quality, and useless learner management system compared to MOOCs abroad. These problems caused diminished learner motivation. Consequently, the K-MOOC service has recorded a low course completion rate despite high expenses spent to develop the contents and thus requires remedies to fix the issues. This study drew research subjects from a pool of college and graduate students representing the primary users of the K-MOOC. This study limited the research scope to the four categories: motivation, learning experience, recognition, and performance of the Biggs' 3P Learning System Model. Based on the literature review, ten variables were selected and explored how the subjects perceived four categories using the survey questionnaire. This study also examined the relationship between ten variables and generated suggestions for the instructors, course managers, and platform developers to make the K-MOOC better.

• Journal of The Korean Association of Information Education
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• 제23권3호
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• pp.229-235
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• 2019

By combining the elements of the game or game in education, it improves the interest of the students and improves academic achievement by creating an environment where they can participate directly. We propose a curriculum that can learn the core principles of the elementary curriculum through fusion. The proposed curriculum helps students to understand the principles of the elementary curriculum by learning the artificial intelligence method in board game form. Learning methods that incorporate such elements of the game will enable learners to learn the principles of IT so that they can develop their ability to understand objects from various perspectives and enhance their thinking skills. It is expected that the elementary artificial intelligence curriculum that incorporates the proposed gamification will contribute to the development of the information science curriculum, which has been highlighted recently from the 2015 curriculum.

• Korean Management Science Review
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• 제30권1호
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• pp.103-124
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• 2013

This study aims to develop a framework to measure MOT competitiveness of enterprises while proposing a concept called management of technology competitiveness (MOTC). The framework of MOTC based on both resource-based view and competence-based view is consisted of technology competitiveness and management competitiveness. A variety of metrics to measure MOTC are extracted through substantial literature review. As technology competitiveness metric, this study examines R&D investment, R&D workforce, R&D facilities, intellectual property assets, and utilization of information and communication technology; as metric of management competitiveness, leadership competitiveness, maturity of the R&D systems, collaboration and partnership, learning and innovation, and commercialization are considered. We then confirm and derive the multi-dimensions of MOTC through its reliability and validity analysis. The study is expected to provide useful guidelines and references for enterprises' self-evaluation of technology and management competitiveness that is equally applicable to small, medium, and large enterprises that must compete in the global marketplace.

• Journal of Korean Society of Archives and Records Management
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• 제13권3호
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• pp.99-125
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• 2013

This study proposes an education program using presidential archives to develop the multiple intelligence of children and the youth based on the multiple intelligence theory and the resource-based learning theory. To accomplish this, we performed a literature review and interviews with an archivist working in the Presidential Archive in Korea. This study compared and analyzed the Presidential Archives' education programs between the U.S. and Korea. This study can be useful and valuable in developing education programs in two areas, with the first area being the fact that the proposed program could help learners improve academic abilities by developing multiple intelligence and the second area being the fact that the program could increase the awareness of the importance of presidential archives. With the proposed program, the utilization of presidential archives can be facilitated.

• Journal of Korean Institute of Industrial Engineers
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• 제39권1호
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• pp.30-45
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• 2013

Predicting monthly electricity price has been a significant factor of decision-making for plant resource management, fuel purchase plan, plans to plant, operating plan budget, and so on. In this paper, we propose a sophisticated prediction model in terms of the technique of modeling and the variety of the collected variables. The proposed model hybridizes the semi-supervised learning and the artificial neural network algorithms. The former is the most recent and a spotlighted algorithm in data mining and machine learning fields, and the latter is known as one of the well-established algorithms in the fields. Diverse economic/financial indexes such as the crude oil prices, LNG prices, exchange rates, composite indexes of representative global stock markets, etc. are collected and used for the semi-supervised learning which predicts the up-down movement of the price. Whereas various climatic indexes such as temperature, rainfall, sunlight, air pressure, etc, are used for the artificial neural network which predicts the real-values of the price. The resulting values are hybridized in the proposed model. The excellency of the model was empirically verified with the monthly data of electricity price provided by the Korea Energy Economics Institute.

• Journal of Distribution Science
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• 제20권5호
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• pp.1-11
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• 2022

Purpose: This study attemptsto investigate the moderating effects of environmental turbulence (ET) between learning orientation (LO) and SMEs' performance. Research design, data, and Methodology: To gain insights and provide implications for manufacturing SMEs in Pakistan, this study adopted simple random sampling to collect 379 valid responses. Data were collected through a self-administrative questionnaire from manufacturing SMEs owners/managers. Partial least squares of structural equation modeling have been used to test research hypotheses by using SmartPLS® 3.0 software. Results: The study's primary finding is that LO has a significantly positive effect on SMEs' performance and this relationship is strengthened under the moderating influence of environmental turbulence (ET). Conclusion: Environmental turbulence (ET) enables SMEs to focus on learning capability to get a more competitive advantage. Moreover, SMEs owner/managers ought to emphasize continuous learning that accentuates the capability to compete with environmental changes. Findings support notifying Pakistan's Small and Medium Enterprise Development Authority (SMEDA) in dealings with Manufacturing SMEs in terms of improving their internal capabilities. This research contributes to the literature as it provides a more detailed and in-depth explanation of distribution management-related issues faced by SMEs. This research carries a significant influence on literature and relevant Resource-based view and contingency theories.

• Journal of Practical Engineering Education
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• 제13권2호
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• pp.283-292
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• 2021

As universities have operated non-face-to-face semesters due to COVID-19, although instructors applying flipped learning to their classes also have changed it into non-face-to-face ways, there is still a lack of exploratory research on effectiveness of the new form of flipped learning. In this study, we explored the effectiveness of the non-face-to-face flipped learning by analyzing students' learning experiences throughout FGI and survey. By doing so, we sought to provide in-depth insights for successful implications of non-face-to-face flipped learning classes ultimately. The findings showed that many learners positively evaluated non-face-to-face flipped learning in terms of interactions, including quizzes, team activities, and interpersonal interactions (e.g., Q&A, feedback) with professors in non-face-to-face flipped learning classes. The result of the survey also showed significant differences in the pre-post test regarding learner's perceived learning achievement. Based on these findings, the implications were discussed.

• Journal of the Korean BIBLIA Society for library and Information Science
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• 제28권4호
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• pp.321-340
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• 2017

The purpose of this study is to design a teaching model applying a problem-based learning model and to analyze the educational benefits that students felt. This study initiated a problem-based learning model from an analysis of existing studies. Through the consultation of experts, the scenario was modified. The problem was designed according to the design stage activity (problem analysis, PBL class suitability judgment, contents analysis, learner analysis, environment analysis, PBL operating environment decision, PBL class) and Strategic Design (problem situation design, learning resource design, Facilitation design, operational strategy design, evaluation design, PBL operating environment design). Based on the initial scenarios, the researcher analyzed the results of the problem - based learning through learners' reflective diaries. The researcher was able to confirm that the critical thinking and creativity were improved in the first PBL problem situation, and the method for smooth communication and cooperation was utilized. The results on analyzing the effects of education about the first problem-based learning and students' opinions about modification will be used for the second revision and supplement of the course design. This study introduces a case of PBL course development and expects further application and research.

• The Journal of Korean Academy of Sensory Integration
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• 제15권2호
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• pp.80-92
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• 2017

Objective : The purpose of this study is to investigate the meaning of students' experience participating in the flipped learning based instruction in sensory integration, and to understand the demand and introspection of participants. Methods : This study used a phenomenological approach of qualitative study. The participants were 10 students in 3rd year of the occupational therapy program in K Univeristy. Data information was collected by one-to-one interview and analyzed through phenomenological research method. Results : Through the interview, 20 units of meaning, 8 central meanings, and 3 themes were drew. The information collected were analyzed into three themes; Learning Experiences in Online and Offline Courses, Request and Introspection of Learners on Flipped Learning. The result showed that online courses brought learners convenience and satisfaction with repeatable learning in every time and space the learner want. However, the learners appealed issues of communication and concentration due to the absence of face-to-face instruction by their instructor. For the offline courses, students showed interest in various practical classwork of sensory integration and changes in their attitude to actively engage in the practical classes. Conclusion : Flipped learning based instruction was effective for the sensory integration classes which require practice in terms of time securement and immersion in practice. The learners requested for adopting flipped learning based instruction to other subjects in occupational therapy curriculum, and introspected that they needed to actively engage in classes through the experience of flipped learning-based classes of sensory integration. The results of this study can be used as a basic resource when flipped learning classes are planned in occupational therapy education.

• KIPS Transactions on Computer and Communication Systems
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• 제9권11호
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• pp.256-264
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• 2020

Industrial Wireless Sensor Networks (IWSNs) is exploited to achieve various objectives such as improving productivity and reducing cost in the diversity of industrial application, and it has requirements such as low-delay and high reliability packet transmission. To accomplish the requirement, the network manager performs graph construction and resource allocation about network topology, and determines the transmission cycle and path of each node in advance. However, this network management scheme cannot treat mobile devices that cause continuous topology changes because graph reconstruction and resource reallocation should be performed as network topology changes. That is, despite the growing need of mobile devices in many industries, existing scheme cannot adequately respond to path failure caused by movement of mobile device and packet loss in the process of path recovery. To solve this problem, a network management scheme is required to prevent packet loss caused by mobile devices. Thus, we analyse the location and movement cycle of mobile devices over time using machine learning for predicting the mobility pattern. In the proposed scheme, the network manager could prevent the problems caused by mobile devices through performing graph construction and resource allocation for the predicted network topology based on the movement pattern. Performance evaluation results show a prediction rate of about 86% compared with actual movement pattern, and a higher packet delivery ratio and a lower resource share compared to existing scheme.