• Journal of Practical Engineering Education
• /
• v.11 no.1
• /
• pp.1-8
• /
• 2019

Virtual Training is an educational exercise in which the environment or the situation is virtually implemented for specific training and proceed like a real situation. In recent years, the virtual reality technology has developed rapidly, and the demand for experiencing situation that are not directly experienced in the real world is increasing more and more in virtual reality. Particularly, there is an increasing demand of contents for hands-on training and virtual training for equipment training that replaces high-risk and high-cost industry training. The virtual training contents have been developed and utilized for the purpose of technical training. However, it is known that virtual training is more effective when it is used as a supplementary training material or combined with e-learning contents rather than replacing one training course with virtual training contents because purpose and effect are different from general technical training course. In this study, we explored the development method for effective utilization of electrohydraulic servo control process, which is the virtual reality contents developed in 2017 in combination with e-learning contents. In addition, in order to establish a teaching and learning strategy, we actually develop and operate a case studies using virtual training contents. Surveys and case studies are conducted to investigate the effects of teaching and learning strategies applied in the classroom on students and their educational usefulness.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.27 no.3
• /
• pp.135-144
• /
• 2002

The purpose of this study is to examine the effects of computer-based creativity training. Four groups of vocational high school students totaling 151 were used as experimental subjects. Two dimensions of treatment were designed. One treatment dimension is the use of computer medium in education： computer based vs. paper-pencil setting of education. The second treatment dimension is the method of creativity training: technique-oriented training program vs. factor-oriented training program. Both a pretest and a post-test were administered to all participated students. The tests were composed of a Creative Figural Test and a Creative Product Test. After the pretest 8 sessions of creative training were delivered as intended in the design of the experiment. The Dost-test was arranged a week after the completion of the training sessions. The results of the study include： First, all the 4 groups showed certain amount of improvements in their scores of Creative Figural Test, while no improvements was observed in the creative product test score. Second, the technique-oriented creativity training was more effective than the factor-oriented under the context of computer-based education, and the factor-oriented training was more effective in the paper-pencil setting. The results suggest that different pedagogical approaches should be employed for computer-based training as compared to the paper-pencil education.

• Journal of the Korean Data and Information Science Society
• /
• v.17 no.2
• /
• pp.345-353
• /
• 2006

Over the past few years, training professionals have become more pragmatic in their approach to technology-based media by using it to augment traditional forms of training delivery, such as classroom instruction and text-based materials. This trend has led to the rise of the term blended learning. Blended learning, an environment of e-learning, is a powerful learning solution created through a mixture of face-to-face and online learning delivered through a mix of media and superior learning experiences. In this article we design and implement an e-learning environment for blended learning. The environment focused on following factors: learning activity and participation of learners, and real time feedback of instructor.

• International Journal of Computer Science & Network Security
• /
• v.21 no.6
• /
• pp.200-206
• /
• 2021

Fraud in e-commerce transaction increased in the last decade especially with the increasing number of online stores and the lockdown that forced more people to pay for services and groceries online using their credit card. Several machine learning methods were proposed to detect fraudulent transaction. Neural networks showed promising results, but it has some few drawbacks that can be overcome using optimization methods. There are two categories of learning optimization methods, first-order methods which utilizes gradient information to construct the next training iteration whereas, and second-order methods which derivatives use Hessian to calculate the iteration based on the optimization trajectory. There also some training refinements procedures that aims to potentially enhance the original accuracy while possibly reduce the model size. This paper investigate the performance of several NN models in detecting fraud in e-commerce transaction. The backpropagation model which is classified as first learning algorithm achieved the best accuracy 96% among all the models.

• Journal of Multimedia Information System
• /
• v.8 no.1
• /
• pp.31-34
• /
• 2021

The classical HMM is defined by a parameter triple �� = (��, A, B), where each parameter represents a collection of probability distributions: initial state, state transition and output distributions in order. This paper proposes a new stationary parameter e = (e1, e2, …, eN) where N is the number of states and et = P(|xt = i, y) for describing how an input pattern y ends in state xt = i at time t followed by nothing. It is often said that all is well that ends well. We argue here that all should end well. The paper sets the framework for the theory and presents an efficient inference and training algorithms based on dynamic programming and expectation-maximization. The proposed model is applicable to analyzing any sequential data with two or more finite segmental patterns are concatenated, each forming a context to its neighbors. Experiments on online Hangul handwriting characters have proven the effect of the proposed augmentation in terms of highly intuitive segmentation as well as recognition performance and 13.2% error rate reduction.

• Nutrition Research and Practice
• /
• v.5 no.4
• /
• pp.294-300
• /
• 2011

Takju is a Korean alcoholic beverage made from rice, and is brewed with the yeast Saccharomyces cerevisiae. This study was conducted to evaluate the effects of exercise training and moderate Takju consumption on learning ability in 6-week old Sprague-Dawley male rats. The rats were treated with exercise and alcohol for 4 weeks in six separate groups as follows: non-exercised control (CC), exercised control (EC), non-exercised consuming ethanol (CA), exercised consuming ethanol (EA), non-exercised consuming Takju (CT), and exercised consuming Takju (ET). An AIN-93M diet was provided ad libitum. Exercise training was performed at a speed of 10 m/min for 15 minutes per day. Ethanol and Takju were administered daily for 6-7 hours to achieve an intake of about 10 ml after 12 hours of deprivation, and, thereafter, the animals were allowed free access to deionized water. A Y-shaped water maze was used from the third week to understand the effects of exercise and alcohol consumption on learning and memory. After sacrifice, brain acetylcholinesterase (AChE) activity was analyzed. Total caloric intake and body weight changes during the experiment were not significantly different among the groups. AChE activity was not significantly different among the groups. The number of errors for position reversal training in the maze was significantly smaller in the EA group than that in the CA and ET groups, and latency times were shorter in the EA group than those in the CC, EC, CT, and ET groups. The latency difference from the first to the fifth day was shortest in the ET group. The exercised groups showed more errors and latency than those of the non-exercised groups on the first day, but the data became equivalent from the second day. The results indicate that moderate exercise can increase memory and learning and that the combination of exercise and Takju ingestion may enhance learning ability.

• Knowledge Management Research
• /
• v.21 no.2
• /
• pp.137-157
• /
• 2020

The medical tourism industry, a convergence of medical services and tourism, has been getting more and more popularity as a new value-added industry in the 21st century. Accordingly, the number of professional workers within this industry has been increasing, and the role of educational institutions to cultivate well-equipped human resources has also become critical. However, compared to practically activated medical tourism-related education programs, studies investigating the effectiveness of these education programs are relatively rare. Therefore, this study attempts to examine the effect of five dimensions of medical tourism education service quality (i.e., tangibles, reliability, responsiveness, assurance, and empathy) on learners' education satisfaction and transfer of education training. In addition, the moderating roles of national relations as well as organizational characteristics (i.e., transfer climate and support of supervisors and colleagues) in the relationship between education satisfaction and transfer of education training are further verified. The results of the structural equation model (SEM) using 151 samples from respondents with experience in completing medical tourism education programs reveal that tangibles, reliability, and assurance are found to have a significant impact on education satisfaction, which in turn leads to a high level of transfer of education training. Moreover, it is found that national relations and support of supervisors and colleagues play a moderating role. This study would provide guidelines for improving the efficiency of educational institutions, creating outcomes for learners' affiliated firms (e.g., hospitals), and promoting medical tourism at the national level from the perspective of medical tourism education.

• Journal of East-West Nursing Research
• /
• v.23 no.2
• /
• pp.115-123
• /
• 2017

Purpose: The purpose of this study was to determine the effects of teaching communication training using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip on communication competency and interpersonal relations of nursing students. Methods: The participants were 79 nursing students (41 in the intervention group, 38 in the control group). A nonequivalent control group design was used. The research was carried out from September 7 to November 20, 2015. Teaching communication skills using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip were provided to the intervention group 180 minutes/session once a week for 9 weeks. Data were analyzed using chi-square test, independent t-test and ANCOVA with SPSS/PC version 21.0. Results: The intervention group reported significantly higher scores of communication competency(F=8.41, p=.005) and interpersonal relations(F=8.97 p=.004) compared to those of the control group at the completion of the intervention. Conclusion: The findings of this study show that $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip is an effective communication training for improving communication competency and interpersonal relations in nursing students. A randomized clinical trial is needed to confirm the value of communication training using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip for nursing students.

• The Journal of Society for e-Business Studies
• /
• v.26 no.1
• /
• pp.107-126
• /
• 2021

In e-commerce, rapid and accurate automatic product classification according to product information is important. Recent developments in deep learning technology have been actively applied to automatic product classification. In order to develop a deep learning model with good performance, the quality of training data and data preprocessing suitable for the model are crucial. In this study, when categories are inferred based on text product data using a deep learning model, both effects of the data preprocessing and of the selection of training data are extensively compared and analyzed. We employ our CNN model as an example of deep learning model. In the experimental analysis, we use a real e-commerce data to ensure the verification of the study results. The empirical analysis and results shown in this study may be meaningful as a reference study for improving performance when developing a deep learning product classification model.

• Journal of Engineering Education Research
• /
• v.13 no.1
• /
• pp.78-86
• /
• 2010

Training Curriculum Integrated Information Network is allowed to searching the all curriculums and courses related with training but also is a one stop handling integrated learning system to cover a course registration, learning and analysis of learning performance. Through developing and managing the Training Curriculum Integrated Information Network, it is available to get the various curriculum thus it is for trainers able to enforce the self oriented course choice and then high quality of training could be proposed by the diverse training curriculums and competitions. To manage Training Curriculum Integrated Information Network more effectively, active public relations marketing activities, high reliable correct information service and rich contents are required. It is essential to manage the learner and learning contents supplier, stable financial resources, personal security issue and protecting a copyright of training curriculum to be a successful network system.