• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.3
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• pp.135-144
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• 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 Korea Society of Computer and Information
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• v.24 no.2
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• pp.9-16
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• 2019

Computer-Assisted Pronunciation Training system is considered to be a useful tool for pronunciation learning for students who received elementary level English pronunciation education, especially for students who have difficulty in correcting their pronunciation in front of others or who are not able to receive face-to-face training. The conventional Computer-Assisted Pronunciation Training system shows the word to the user, the user pronounces the word, and then the system provides phoneme or audio feedback according to the pronunciation of the user. In this paper, we propose a Computer-Assisted Pronunciation Training system that can practice on the varying pronunciation according to positions of adjacent phonemes. To achieve this, the proposed system is implemented by recommending a series of words by focusing on adjacent phonemes for simplicity and clarity. Experimental results showed that word recommendation considering adjacent phonemes leads to improvement of pronunciation accuracy.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1901-1904
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• 2002

A good performance on communication systems is obtained by decreasing the length of training sequence In the initial stage of adaptive equalization. This paper presents a new approach to accomplish this, with the use of a training adaptive equalizer. The approach is based on combining the training and tracking modes, in which the training equalizer is updated by the LMS algorithm with the training sequence and then updated by a blind algorithm. By computer simulations, it is shown that a class of the proposed equalizers provides better performance than the conventional training equalizer.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.169-175
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• 2017

In this paper, we propose the elementary school teacher's training direction for effective SW education. In an effort to better understand the efficient SW training contents and methods for teachers, 200 of elementary teachers had been selected from different places in South Korea. The results showed that 1)it should be operated by focusing on the training of female teachers, especially, strengthening the contents of SW ethics. 2)It will need to actively operate the teacher training program to foster the necessary computational thinking and programing for elementary school teacher who work in big cities. 3)It need to create a training program for expanding the SW studying groups. 4)In order to improve the effectiveness of training courses in the development of in-service training programs, the SW ethics contents need to be coordinated with the link the computational thinking and programing. These results are expected to provide the efficient methods to design the future SW training programs.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.3
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• pp.302-310
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• 2014

Purpose: The purpose of this study was to compare the effectiveness of training using an intravenous (IV) arm model versus a computer simulator for IV injections. Method: Study was a quasi-experimental study conducted with 106 nursing students. Participants were divided into two groups: the IV Arm Group using a mannequin arm model (control group) and the Computer Simulator Group using the Virtual IV demonstration (experimental group). Theoretical lectures and video presentations on IV injections were given to both groups. Each group went through the training practice using the IV arm or computer simulator. After the completion of training, questionnaires were given to the students to evaluate their learning attitudes and experiences, self-confidence in IV injection, and satisfaction with the training materials. Results: Student satisfaction with the training materials including the reality, usefulness, and educational effects showed notable differences between the two groups with the Computer Simulator group reporting more positive effects that the IV Arm group. However, there was no statistical difference between the two groups in the categories of learning attitude, learning experience, or self-confidence. Conclusion: While there was a differences in strengths and weaknesses of the two methods, both methods should be considered for practice and further study needs to be done on educational effectiveness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3172-3193
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• 2018

Recently, several studies have shown that linear representation based approaches are very effective and efficient for image classification. One of these linear-representation-based approaches is the Collaborative representation (CR) method. The existing algorithms based on CR have two major problems that degrade their classification performance. First problem arises due to the limited number of available training samples. The large variations, caused by illumintion and expression changes, among query and training samples leads to poor classification performance. Second problem occurs when an image is partially noised (contiguous occlusion), as some part of the given image become corrupt the classification performance also degrades. We aim to extend the collaborative representation framework under limited training samples face recognition problem. Our proposed solution will generate virtual samples and intra-class variations from training data to model the variations effectively between query and training samples. For robust classification, the image patches have been utilized to compute representation to address partial occlusion as it leads to more accurate classification results. The proposed method computes representation based on local regions in the images as opposed to CR, which computes representation based on global solution involving entire images. Furthermore, the proposed solution also integrates the locality structure into CR, using Euclidian distance between the query and training samples. Intuitively, if the query sample can be represented by selecting its nearest neighbours, lie on a same linear subspace then the resulting representation will be more discriminate and accurately classify the query sample. Hence our proposed framework model the limited sample face recognition problem into sufficient training samples problem using virtual samples and intra-class variations, generated from training samples that will result in improved classification accuracy as evident from experimental results. Moreover, it compute representation based on local image patches for robust classification and is expected to greatly increase the classification performance for face recognition task.

• International journal of advanced smart convergence
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• v.7 no.2
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• pp.73-85
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• 2018

The purpose of this study is to develop a short-term ICT training course that helps teachers from non-computing disciplines in developing countries acquire flipped-learning content creation skills. A field application is performed by applying the developed ICT training course to secondary school teachers of non-ICT subject specialisms in Laos. In the field study, participating teachers' teaching efficacy on ICT and satisfaction toward the training course are measured. The result of t-test on ICT teaching efficacy showed statistically significant increases in teachers' self-efficacy related to ICT use, both personal efficacy and outcome expectancy. The satisfaction survey performed after training showed that trainees were highly satisfied with the training course. The results of this field study could be used to propose a short-term teacher education model that could be applicable to teachers in other developing countries.

• Journal of Agricultural Extension & Community Development
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• v.8 no.1
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• pp.107-119
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• 2001

As the information gap between rural and urban area, and between men and women has been widening, the Rural Development Administration(RDA) has initiated the women farmers information project from 2000. The aims of this project are; 1) to facilitate women farmers' computer and information application in agriculture and income generating activities, and 2) to make them to be leaders to popularize computer application in rural area and agricultural sector. For these, RDA has provided not only PC, software, computer training but also the post support of extension educator to target group. This paper focused on evaluating the effect of the project, clarifying the related variables with the effect, and providing suggestions to enhance the effect. The data were gathered from 310 target women farmers and 166 extension educators in charge of the project all over the country by mailing survey with questionnaire. The main findings of this study were as follows; 1) The level of computer application of the target group was improved drastically, 2) As their self-assessment, they could improve psychological fear on the computer, recognition about information, and attitude to seek information, 3) This project was helpful for them in terms of information gathering and farm(or income generating activities) management, 4) They tried to disseminate the benefit of computer application to neighbors, so that the neighbors' interest in computer and attendance of computer training were improved, 5) Variables such as the computer training hours, the number of interaction with extension educator, formal schooling and farming history were significantly related to the project's effect. To enhance the project's effect the following strategies should be carried out; 1) The period of the computer training course should be standardized and the subjects should attend to the computer training course for the standardized period. 2) Through continuous interaction with the subjects, the extension educator should support them to use computer well and to overcome some difficulties as a beginner. 3) In selecting the subjects, the priority should be given to the person who graduated high school at least. 4) The subjects should focus on using management software, gathering useful information for their business, and selling their products directly to the consumer. 5) So as to enhance the abilities mentioned above, RDA should strengthen learning opportunities through on-line training and providing educational software, besides of existing off-line training.

• Journal of Construction Engineering and Project Management
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• v.9 no.4
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• pp.16-33
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• 2019

The increasing size and complexity of modern construction projects demands mature capabilities of onsite personnel with regard to recognizing unsafe situations. Construction safety training is paper or computer-based and suffers from a distinct gap between the classroom training environment and real-world construction sites; even trained personnel can find it difficult to recognize many of the potential safety hazards at their jobsites even after receiving construction safety training. Immersive technologies can overcome the current limitations in construction safety training by reducing the gap between the classroom and a real construction environment. This research developed and tested a new Augmented Reality (AR)-based assessment tool to evaluate the hazard recognition skills of students majoring in construction management as part of a construction safety course. The quantitative and qualitative results of this research confirmed that AR-based assessment can become a very effective assessment tool to evaluate safety knowledge and skills in a construction safety course, outperforming both paper and computer-based assessment methods. The students preferred AR-based assessment because it provides a realistic visual context for real world safety hazards.

• Journal of the Korea Computer Graphics Society
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• v.14 no.2
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• pp.1-8
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• 2008

This paper presents a design of a situation training system supporting mixed-reality for the developmental disabled. The training scenario is developed for the disabled to improve the sense of sight and perception. The user sticks a virtual pin into a hole in the working board according to the direction and the appropriate feedback is delivered based on the FSM(Finite State Machine). In order to improve the reality and the training effect, the user's hand is inserted in the virtual training environments and the tactile sensation is provided using the haptic device.