• Journal of Engineering Education Research
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• v.10 no.3
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• pp.38-63
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• 2007

This study was aimed at the development of a standard model for vocational training course for the unemployed based on entrepreneurial skill system. The model reviewed the definition of skill-related concepts and skill system through the set-up of skill system in the first place, and developed job capacity system by coming up with the direction and the method in the development of the model for the job capacity system and training courses. Skill boundaries, core capacities, performances, capacity units and levels, and unit criteria were derived from it. And, training courses were composed and the structure was built in accordance with skill capacity system on the basis of it. As the result, the training model which drew to the development model of training courses, the structure of training courses and the model of training curriculum was finally developed.

• Journal of information and communication convergence engineering
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• v.6 no.4
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• pp.448-453
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• 2008

This study describes design and development techniques of estimation models for process modeling. One case study is undertaken to design a model using standard gas furnace data. Neural networks (NN) and genetic programming (GP) are each employed to model the crucial relationships between input factors and output responses. In the case study, two models were generated by using 70% training data and evaluated by using 30% testing data for genetic programming and neural network modeling. The model performance was compared by using RMSE values, which were calculated based on the model outputs. The average RMSE for training and testing were 0.8925 (training) and 0.9951 (testing) for the NN model, and 0.707227 (training) and 0.673150 (testing) for the GP model, respectively. As concern the results, the NN model has a strong advantage in model training (using the all data for training), and the GP model appears to have an advantage in model testing (using the separated data for training and testing). The performance reproducibility of the GP model is good, so this approach appears suitable for modeling physical fabrication processes.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.273-283
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• 2023

Education has recently witnessed a rapid increase in the use of edutech worldwide. This study focuses on Korean workers and explores an edutech-based learning model for vocational education and training. Based on analyses of edutech cases and interviews with edutech experts, a draft edutech model was designed and the validity was evaluated based on two Delphi surveys with a panel of experts in the field. The study's findings suggest that edutech-based employee education and training should prioritize LXP orientation (last CVR=1, last Mean=4.70) , implement adaptive learning through learning analytics (last CVR=1, last Mean=4.90), enhance the human touch effect using edutech (last CVR=1, last Mean=4.90), and emphasize the importance of designing curricula that apply edutech in a step-by-step learning process while incorporating suitable instructional design for the key technologies involved in vocational training programs. In addition, it was revealed that there is a strong need to implement a method that makes each stage of the learning process more effective (before, during, and after). Edutech-based vocational training program should consider the interests of all stakeholders, including learners, instructors, vocational training institutions, and government agencies. Given the promotion of government-sponsored vocational training projects in Korea, the findings of this research are likely to have significant implications for the future of Korea's education and training policies.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.21-30
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• 2021

Economic transformations have led to an increase in the role of creative assets and their central role in public life. Changes in creative activity have led to a change in the organization of the work of institutes engaged in the training of specialists, in particular teachers of labor education. Methods and approaches to training determine the development of creative industries, being the basis for models of professional training of future teachers of labor training. The purpose of an article was to develop a modern model of professional training of future teachers of labor training based on the concept of creative economy. The methodology is based on the concepts of holistic craft and creative economy. Based on the integration of pedagogical learning models "Craft as design and problem-solving", "Craft as skill and knowledge building", "Craft as product-making" and "Craft as self-expression" developed and experimentally confirmed the conceptual model of professional training of future teachers of labor training. The proposed model forms a practitioner with professional, technical, digital and creative skills who is able to transfer the experience to students. The training course "Creativity and creative thinking" has been developed. The model provided for the development of a course based on the strategy of developing professional creativity, flexibility, improvisation, openness, student activity, joint practice, student-oriented approach. The practical value implies the adaptation of the developed model of professional training of future teachers of labor education during the training of teachers in higher education, which is confirmed in the experiment.

• Journal of the Korean Institute of Navigation
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• v.14 no.4
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• pp.53-70
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• 1990

Much efforts have been made to improve the training education system for last decades. however, it still leaves much room form improving the system. The reason for this is that the have been many changes in given educational conditions, national and international, and that there existed the lack of training facilities on shore and the limits of capacity on the training ship. The existing program adopts a straight-through system of which the course has to be completed at same time, and also forces students to study the course, disregarding their aptitude for sea life. Consequently, the program resulted in frustrating the learning desire of some students and, as a consequence, in deteriorating the quality of the entire training education. This paper aims to develop an efficient training program including curriculla by the literature survey and the teaching and sea experiences on the training ship "HANBADA" and merchant ships, where the authors have been for many years. Compared with the existing one, the new training model suggested in this paper has some advantages as follows : First, the new model adopts multi-state system which consists of various short-term training courses according to each purpose. This system will be helpful for student to find their aptitude for sea life earlier and to understand classes of major subjection shore. Second, the model includes new curriculla which consist of core subjects (for example, navigation, marine operation, marine transportation, watch keeping and nautical English for deck cadets and internal and external combustion engine, auxiliary machinery, electric and electronics and engine maintenance for engine cadets), by incorporating existing 20 subjects in 5 subjects. These curriculla may contribute to embodying the characteristics of training education where the above mentioned subjects must be linked with each other. In order to implement this new training model efficiently and effectively, the following prerequisties must be prepared : $\circled1$ The contents of each subject included in the new model should be systematically developed. $\circled2$ The educational schedule should be adjusted according to the new model.new model.

• Journal of information and communication convergence engineering
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• v.11 no.4
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• pp.268-273
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• 2013

In this paper, we propose a document classification model using Web documents as a part of the training corpus in order to resolve the imbalance of the training corpus size per category. For the purpose of retrieving the Web documents closely related to each category, the proposed document classification model calculates the matching score between word features and each category, and generates a Web search query by combining the higher-ranked word features and the category title. Then, the proposed document classification model sends each combined query to the open application programming interface of the Web search engine, and receives the snippet results retrieved from the Web search engine. Finally, the proposed document classification model adds these snippet results as Web documents to the training corpus. Experimental results show that the method that considers the balance of the training corpus size per category exhibits better performance in some categories with small training sets.

• Proceedings of the KAIS Fall Conference
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• 2011.12a
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• pp.227-230
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• 2011

In this research, new conceptual model is being established to advocate a hypothesis during the hands-on to guarantee an effectiveness of the training with a scientific procedures and techniques under the management of KCTC training system. From this, current requirements of facilitator's qualifications and technical standards can be correspond with educate and their individual characteristics. Establishing education model basis will increase facilitator's training and conservatism in the representative KCTC training operative as the actual fight; contribute to effective training procedures. Like this model, it can be flexibly applied to the units in armies' actual training in circumstantial situations other than KCTC training; also can be applicable in many quarters.

• Journal of Radiation Industry
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• v.9 no.1
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• pp.21-27
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• 2015

The domestic Radiation Technology is integrated into and utilized in various areas and is closely related to the industrial growth in Korea. The domestic use of radiation and RI (Radioisotope) increases in quantity every year, however the level of technology is poor when compared to other developed countries. Manpower training is essential for the development of Radiation Technology. Therefore, this study aimed to propose a methodology for designing systemic education and training model in the field of measurement and analysis of radiation. A survey was conducted to design education and training model and the training program for measurement and analysis of radiation was developed based on the survey results. The education and training program designed in this study will be utilized as a model for evaluating the professional development and effective recruitment of the professional workforce, and can be further applied to other radiation-related fields.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.3
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• pp.767-777
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• 2017

The purpose of this paper is to develope a training model and to make a syllabus for electro-technical officers(ETOs) on ship. In order to complete the purpose, firstly we study on qualification for electro-technical officers and also examine the foreign, domestic cases. Secondly, through the STCW convention and the IMO Model Course 7.08, we have compared the standards of competence for officers in charge of an engineering watch and ETO, and analyze the additional standards of competence to acquire the ETO's licenses. Finally, based on the results of this, we will suggest the development of a training model that officers in charge of an engineering watch must complete in order to obtain an ETO's license. This paper is expected to be useful in the educational institution preparing for training course.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.3
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• pp.346-354
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• 2024

Deep learning models require high computing power due to a substantial amount of computation. It is difficult to use them in devices with limited computing environments, such as coastal surveillance equipments. In this study, a lightweight model is constructed by analyzing the weight changes of the convolutional layers during the training process based on MobileNet and then pruning the layers that affects the model less. The performance comparison results show that the lightweight model maintains performance while reducing computational load, parameters, model size, and data processing speed. As a result of this study, an effective pruning method for constructing lightweight deep learning models and the possibility of using equipment resources efficiently through lightweight models in limited computing environments such as coastal surveillance equipments are presented.