• The Journal of Korean Institute for Practical Engineering Education
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• v.5 no.1
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• pp.28-33
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• 2013

In this paper, we proposed a smart learning model that reflects the environment of information and communication that rapidly changing with the advent of smart devices. There are varieties of screen size and performance of smart devices, but they can be classified smart phones, smart pads, personal computer(PC) and Smart TV. In this paper, we look for appropriate services model with method of interaction and educational content as per each device type, then present the development direction of smart learning that reflects the information communication environment and future smart learning service model according to the characteristics of each device.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.3
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• pp.747-756
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• 2019

Students studying interpretation perform additional study and training in addition to regular class. In simultaneous interpreting and consecutive interpreting, interpreter should memorize speaker's announcement because of different language structure. To improve short-term memory, students perform memory training that requires a pair of students. Therefore, they can not perform self-learning, and therefore, efficiency of studying decreases. To resolve this problem, computer based short-term memory training system has been proposed. Student can perform self-learning by changing words in text to special character in the training system. However, efficiency of studying decreases because computer has low portability. Since the number of words is larger than the number of words to be switched into special character, learning difficulty decreases. To resolve this problem, smart device based short-term memory training system has been proposed. Student can perform smart device based training system without space constraints. Since the proposed training system increases the number of words to be changed into special character, learning difficulty increases. We implemented and evaluated the functionalities of the proposed training system.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.177-186
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• 2020

The purpose of this study is to view the current status of the smart manufacturing ecosystem and to use it as an objective basis for establishing a sustainable manpower training policy support plans for smart manufacturing suppliers. Therefore, questionnaires were constructed and distributed to 2,200 domestic smart manufacturing supply firms and 6,000 demand firms, which received responses from 259 supply firms and 155 demand firms. The results showed that both supply and demand firms needed digital converged workforce with comprehensive expertise and field-oriented digital transformation workforce. In the method of securing professional manpower, the demand for in-service training and post-management training was high. Based on the results of this study, this study suggests the manpower training policy support plans for smart manufacturing supply firms and contributes to strengthening the global market competitiveness of smart manufacturing supply firms in Korea.

• Journal of the Korean Society of Systems Engineering
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• v.14 no.1
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• pp.28-35
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• 2018

Front End Engineering Design (FEED), currently dominated by a few advanced countries, creates the highest added-value in the in plant construction industry. In the domestic plant engineering industry, it is difficult to acquire its own technology capability and experience due to lack of experience and shortage of experts in advanced design fields such as basic design and FEED. To achieve competitiveness with the advanced countries, it is necessary to establish smart training system for advanced plant design and FEED engineers. This study aims to design an integrated training framework for plant engineering and FEED using system engineering to build a smart plant engineering education system that learns design knowledge based on educational content and experience based on design stage for chemical plant.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.23-31
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• 2011

The cognitive abilities are functions in human brain. They are closely with the real life. The cognitive abilities are likely to be decreased when human gets older and older. Fortunately, due to the plasticity of human brain, it is possible to help recover and rehabilitate brain function. Those efforts are called brain training and cognitive ability training. The cognitive ability training needs continuous trials and efforts. But many users feel boring because of simple repetitive works. This paper proposes a cognitive training system implemented in a smart device. The proposed system is designed to make users to focus on the repetitive training by using game-based tasks on the smart device. It shows that the proposed system is effective to attention and flexible on cognitive training game.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.28 no.2
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• pp.106-114
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• 2017

Objectives: This study was to examine the effectiveness of computerized cognitive ability enhancement program (CCAEP) using Smarttoy. The CCAEP using Smart-toy which can interact with children via bluetooth is a kids-friendly and convenient method for improving children's cognitive abilities by increasing their motivation for performing the program. We developed the CCAEP which designed to train auditory-verbal memory, visual-spatial memory, auditory-verbal working memory, and visual-spatial working memory. Methods: Eighteen children aged 8 to 10 participated in CCAEP individual training composed of 8 sessions of 40 minutes each for 4 weeks. The effect of the training was measured with Smart Toyweb's cognitive assessment tasks (smart device based assessment) as well as traditional neuropsychological tests before and after the training. Results: Children showed significant improvement in auditory-verbal memory, visual-spatial memory, auditory-verbal working memory and visual-spatial working memory abilities after the training. Conclusion: This study demonstrated promising results suggesting the effectiveness of CCAEP using Smart-Toy in clinical settings as well as school and home situations. Further controlled study with larger sample size including various clinical groups is needed to confirm the present results.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.325-333
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• 2016

The development of smart technology has brought the conversion of closed traditional e-learning contents into open flexible smart learning contents consisting of learner-centered modules, without the constraints of time and space by use of smart devices from the uniformed and passive classroom between teachers and learners. It has been demanded an open, personalized and customized teaching and learning contents of smart education and training systems according to wide supply of various smart devices. In this paper, we discuss about the status of the smart teaching and learning systems and analyze the characteristics and structure of the web contents for smart education and training systems by use of smart devices. And we propose a method how to block web contents, to extract them, and adapt personalized segments of web contents by adaptive algorithm into smart learning devices. We extract blocks from the web contents based on the smart device information and the preference information of the learners from existing web contents without the hassle of learners environment. After specifying a block priority from the extracted web contents by the adaptive segment algorithm, it can be displayed directly to the screen to fit the individual learning progress of the learners.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.647-663
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• 2011

Company's interest in the work place training and investment has been growing continuously because the talent of human resource is the competitiveness itself in the knowledge based society. However, corporate training programs mainly have focused on large companies and SMEs despite the economic business volume have been treated too lightly so far. This paper regards corporate training programs with one of the methods for SMEs innovation and proposes the smart learning in the smart device diffusion. Concretely, this paper analyzes the utilization intention, each attribute and level in smart learning characteristics using conjoint analysis. The result shows that SMEs have positive response for smart learning acceptance and SMEs consider significantly the usage fee type and location with the difference between regular employee and administrator. Specially, interactive communication and customized contents are preferred in the training type. Smart learning can be used as strategic means in supporting the value innovation and enhancing the absorptive capacity in SMEs innovation process.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.7
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• pp.759-768
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• 2018

As the number of exchange in various fields between countries increases, the number of international conference increases. Many students study simultaneous interpretation due to the increased demand of simultaneous interpretation. Since simultaneous interpretation requires a lot of learning time, students majoring in translation perform the self learning. The paper based sight translation training system is a representative self learning method, but backtracking decreases the efficiency of self learning and it requires the help of the partner. To improve the learning efficiency, computer based sight translation training system has been proposed. However, since students uses the computer based sight translation training system only in a fixed area due to low mobility of computer, the utilization of the system decreases. In this paper, smart device based sight translation training system has been proposed to increase the utilization of the proposed system. Since smart device has lower computing capabilities than the computer, we have proposed algorithms to deal with the low performance. We implement and evaluate the functionalities of the proposed training system.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.117-125
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• 2020

According to the government's smart factory promotion project for small and medium-sized enterprises, more than 10,000 intelligent factories are scheduled or already built in the country and the government-led goal is to nurture 100,000 skilled workers by 2022. Smart Factory introduces numerous types of education and training courses from the supplier's point of view, such as training institutions belonging to local governments, some universities, and public organizations, in the form of an efficient resource management system and ICT technology convergence in the automated manufacturing equipment. The lack of linkage with the NCS, the standard for training, seems to have room for rethinking and direction. Results of survey is provided for the family companies of K-University in the metropolitan area and Chungnam area, and analyzes job demands by identifying whether or not they want to introduce smart factories. Defining the practitioners who will serve as a window for the introduction of smart factory technology within the company, setting up a training goal in consideration of the career path, and including the level of training required competency units, optional competency units, and training time suitable for introducing and operating smart factories. Author would like to present an NCS-based qualification design plan.