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

• Journal of Institute of Control, Robotics and Systems
• /
• v.4 no.4
• /
• pp.551-560
• /
• 1998

This paper presents a neural network model representing complex hydro-thermo-dynamic characteristics of a steam generator in nuclear power plants. The key modeling processes include training data gathering process, analysis of system dynamics and determining of the neural network structure, training process, and the final process for validation of the trained model. In this paper, we suggest a training data gathering method from an unstable steam generator so that the data sufficiently represent the dynamic characteristics of the plant over a wide operating range. In addition, we define the inputs and outputs of neural network model by analyzing the system dimension, relative degree, and inputs/outputs of the plant. Several types of neural networks are applied to the modeling and training process. The trained networks are verified by using a class of test data, and their performances are discussed.

• International Journal of Advanced Culture Technology
• /
• v.12 no.1
• /
• pp.220-226
• /
• 2024

Accounting is one of the fields greatly affected by the Industrial Revolution 4.0 in general and the digital transformation trend in particular. However, the digital transformation process will also be a weakness if domestic accounting and auditing training activities do not adapt promptly and keep up with the practical requirements of social needs. Job opportunities in the accounting industry will shrink due to increased labor productivity and increasing support technologies, leading to a decrease in the need for traditional accountants. This paper focuses on clarifying the shortcomings and difficulties in accounting training activities by surveying 120 accounting lecturers teaching at domestic universities. Research results show that there are six existing factors and difficulties in accounting training activities due to the digital transformation process, including: facilities, lecturer capacity, training programs, teaching methods. teaching, assessment methods and practice and practice activities. Based on the survey results, we propose recommendations for training activities due to the impact of digital transformation at universities in Vietnam.

• Phonetics and Speech Sciences
• /
• v.1 no.1
• /
• pp.77-86
• /
• 2009

This study observes how the combined intervention program effects on the acquisition reading pronunciation of Korean phonological process words and the acquisition aspects of each phonological process rules to four Korean learners whose first language is Chinese. The training program is the combination of multisensory Auditory, Visual and Kinethetic (AVK) approach, wholistic approach, and metalinguistic approach. The training purpose is to evaluate how accurately they read the words of the phonological process which have fortisization, nasalization, lateralization, intermediate sound /ㅅ/ (/${\int}iot"$/). We access how they read the untrained words which include the four factors above. The intervention effects are analyzed by the multiple probe across subjects design. The results indicate that the combined phonological process rule explanation and the words activity intervention affects the four Chinese subjects in every type of word. The implications of the study are these: First, it suggests the effect of Korean pronunciation intervention in a concrete way. Second, it offers how to evaluate the phonological process and how to train people who are learning Korean language.

• Korean Journal of Computational Design and Engineering
• /
• v.20 no.4
• /
• pp.420-430
• /
• 2015

Operator Training Simulators (OTSs) provide macroscopic training environment for plant operation. They are equipped with simulation systems for the emulation of remote monitoring and controlling operations. OTSs typically provide 2D block diagram-based graphic user interface (GUI) and connect to process simulation tools. However, process modeling for OTSs is a difficult task. Furthermore, conventional OTSs do not provide real plant field information since they are based on 2D human machine interface (HMI). In order to overcome the limitation of OTSs, we propose a new type of plant training system. This system has the capability required for collaborative training between operators and field workers. In addition, the system provides 3D virtual training environment such that field workers feel like they are in real plant site. For this, we designed system architecture and developed essential functions for the system. For the verification of the proposed system design, we implemented a prototype training system and performed experiments of collaborative training between one operator and two field workers with the prototype system.

• 한국공간정보시스템학회:학술대회논문집
• /
• 2002.03a
• /
• pp.45-52
• /
• 2002

Artificial neural networks (ANN) have been successfully used for classifying remotely sensed imagery. However, ANN still is not the preferable choice for classification over the conventional classification methodology such as the maximum likelihood classifier commonly used in the industry production environment. This can be attributed to the ANN characteristic built-in stochastic process that creates difficulties in dealing with unequally represented training classes, and its training performance speed. In this paper we examined some practical aspects of training classes when using a back propagation neural network model for remotely sensed imagery. During the classification process of remotely sensed imagery, representative training patterns for each class are collected by polygons or by using a region-growing methodology over the imagery. The number of collected training patterns for each class may vary from several pixels to thousands. This unequally populated training data may cause the significant problems some neural network empirical models such as back-propagation have experienced. We investigate the effects of training over- or under- represented training patterns in classes and propose the pattern repopulation algorithm, and an adaptive alpha adjustment (AAA) algorithm to handle unequally represented classes. We also show the performance improvement when input patterns are presented in random fashion during the back-propagation training.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.28 no.3
• /
• pp.74-83
• /
• 2020

Securing excellent pilots is not only directly linked to the military's improved combat capabilities, but also a way to minimize human and property losses from aircraft accidents. Therefore, a scientific method is needed to diagnose pilot aptitude from the pilot selection process and select those with high accident potential, those who are dropped out of the flight training process, and those who are not suitable for pilot life in advance. Developed countries have implemented pilot aptitude tests to solve these problems early on, but so far, the Korean Army has not introduced a pilot aptitude test system that uses diagnostic tools in the helicopter pilot selection process. Therefore, in this study, scientific diagnostic tools are developed for selecting helicopter pilots, and through this, it is predicted that the number of people who are likely to be dropped out of the training course and who have the potential for accidents will be selected in advance and eliminated in the selection process. In this context, prior research examined the key factors involved in the pilot aptitude test. Through this, the aptitude test items were developed and aptitude tests were conducted on student pilots currently in flight training, and the results of flight training were analyzed.

• 한국경영정보학회:학술대회논문집
• /
• 2007.11a
• /
• pp.316-321
• /
• 2007

Effective Training has been recognized as one of the most important success factors for enterprise resource planning (ERP) system operations. However, both ERP system vendors and user companies have failed to provide an effective training method for users because practical business process cases cannot be formalized. Also, incomplete testing by ERP system vendors results in insufficient and ineffective user training. This paper suggests a scenario framework for ERP testing and training (SF-ETT). SF-ETT is constructed by expanding the practice-based ERP testing scenario construction framework designed for uniERPII. SF-ETT contains concrete business process entities that users understand actually and provides practice definition, notation, and architecture.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.20 no.4
• /
• pp.482-490
• /
• 2014

Purpose: This research compares self-leadership, team efficacy, problem solving processes and task satisfaction in response to teaching methods applied to nursing students, and determines whether variations exist. Method: This research experiments before and after the training of a nonequivalent group. The subjects were 36 learners of action learning methods and 39 learners of nursing course methods, and the research took place from October through December 2012. Results: Prior to the training, the general features and measurable variables of the two groups of subjects were similar, and self-leadership, team efficacy, problem solving process and task satisfaction in both groups were elevated compared to pre-training. In particular, in comparison with the nursing course, there was a notable difference in scores, the action learning method receiving high scores in the problem solving process (t=2.92, p=.005) and task satisfaction (t=2.54, p=.013) Conclusion: It is recommended that educators not only conduct the practice training course for teaching methods, but also incorporate action learning.

• Journal of Practical Engineering Education
• /
• v.15 no.2
• /
• pp.299-309
• /
• 2023

This study examines the paradigm shift in vocational training with the introduction of remote training, which has been conducted fragmentarily by project, to respond to the COVID-19 pandemic. It analyzes the operation's problems and limitations by dividing the remote training process from assessment to budget execution by subject, stage, and procedure. Additionally, it collects various stakeholders' opinions to propose improvement plans for the vocational training support system to effectively respond to the paradigm shift in vocational training in the digital and non-face-to-face era. The study assumes that the assessment of training institutions and the training process should be innovated in a way that can accommodate the direction of vocational training in the digital and non-face-to-face era instead of focusing on traditional collective training. Based on this premise, it suggests ways to enhance the pre-approval screening system and the training institution assessment system.