• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.8
• /
• pp.3486-3491
• /
• 2011

This study aims to identify the effect of neurofeedback training by observing the pre and post brainwave measurement results of about 60(experimental group 30, control group 30) subjects who have shown self directed learning ability. The study took place at neuro-training center B, in between the months of Jan. 2010 and Jul. 2010. As the brainwaves are adjusted by timeseries linear analysis. The result confirmed the differences of both self regulation quotient, training protocol, and questionnaire. The result of the study suggest neurofeedback technique's possibility in positively affecting the subjects' self directed learning ability.

• Archives of design research
• /
• v.11 no.1
• /
• pp.99-108
• /
• 1998

The purpose of this study was to exanune the effects of learning training program on university students' creativity. In order to accomplish this purpJse of the study effectively, the following research hypotheses were posited: (Hypothesis 1) The treJltment group trained with the learning program will perform better in technic.al class. (Hypothesis 2) The treatment group trained with the learning program will show the higher degree of progress in diagram creativity than the pre-treatment group. The result of the study were summarized as follows: First, regarding the effects of training, there appeared a significant difference between the groups of post-treatment class and pre-treatment class in the use of learning strategies. Second. there appeared a significant difference between the group of post-treatment class and pre-treatment class in diagranl creativity.

• Journal of Digital Convergence
• /
• v.16 no.1
• /
• pp.63-72
• /
• 2018

This paper examined the learning transfer of job training participants and its influencing factors. A survey of 279 care workers in the city of Seoul and Kyeong Gi province who recently participated dementia job training was conducted. The results of multiple regression analysis indicated that the self-efficacy of the care workers, the capability of instructor, the training methods and the transfer opportunity positively influenced the level of learning transfer. The findings suggested increasing care workers' self-efficacy, enhancing practical skill-based training program, hiring instructors with high workplace experiences, fostering work environment with higher transfer opportunity are required.

• Journal of the Korea Society for Simulation
• /
• v.23 no.2
• /
• pp.73-84
• /
• 2014

Recently, researches on the application of IT technology to various fields including traditional industries are becoming more popular. One challenge in the field of education is to understand the way how technology may support learning, and research on self-directed learning has been accelerated by integrating education and IT technology. The process of self-directed learning in e-learning applications such as Car Maintenance Training is very difficult and complicated. Previous studies on car maintenance training applications provided simple training scenarios with predetermined action sequences. To incorporate self-directed learning in car maintenance training, however, trainees must be able to perform various maintenance operations himself and experience various situations. To provide such functionality, it is necessary to obtain an accurate response for various operations of trainees, but it requires complicated calculations with respect to varieties in the electrical and mechanical processes of a car. In this paper, we develop a logic simulation agent using JESS inference engine in which self-directed learning is achieved by capturing the behavior of trainees and simulating car operations without complicated physical simulations in car maintenance training.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.13 no.4
• /
• pp.35-48
• /
• 2018

This study aims to assess the training effect of QFD(Quality Functional Deployment) program for 3 years over startups, adopted from the conventional QFD widely used in the large companies to break up to a sluggish sales and growth, for employees working in startup whether the participants in startup and venture company taking this lessons into their real tasks or not. In particular, the focus of this study falls on figuring out whether individual characteristics of the participants play a role in moderating effect over transfer intension factors and its link path structure. The research results drive out two significant findings. First, in terms of relationship between the influence of transfer intension by self-efficacy and the validity of training content with the learner's readiness, the moderating effect of demographic features of the participants is effective partially by the sex and fully by their working position, but not statistically significant by age, education, and the prior startup career. This research deliver the following significant implication that the active participation of CEO level, decision-maker guarantee the higher performance of the training program like QFD program, more stresses falling on practical implementation in real business rather than just ending up with career training. This study gives significant policy implication to quasi-government organization running all public startup training projects.

• Journal of Digital Contents Society
• /
• v.18 no.3
• /
• pp.499-508
• /
• 2017

With the recent advance of IT technology and the change of education paradigm, vocational training has been also evolved. In the background of mobilization of learning, increase of bite-size contents, and the agility of just-in-time learning, this study surveyed the online learners' motivation, perceptions, and learning behaviour. Total 4,021 learners from 6 distance learning institutions revealed that learners take the e-learning courses due to more for their self-development than the company's supports and policy. Also, they perceived the subject matter in contents are the most important. The results from this study suggest that the development of contents should focus on the subject matter that can be utilized for their jobs immediately. Lastly, the study confirms that learning space and time has been changed in the flexible way to use their spare time between work and life. Irregularity of learning and hasty preparations were one of major characteristics in the aspect of learning behaviour.

• Fire Science and Engineering
• /
• v.30 no.3
• /
• pp.117-123
• /
• 2016

To accomplish the purpose, the current study drew factors affecting the transfer of education and training through a review of domestic and overseas literature, and aimed to empirically investigate whether these factors actually affect the transfer of education and training of fire officers. The results showed that significant variables affecting the degree of perception on the transfer of education and training were in the order of work relationship, learning culture, peer support, self-efficacy, learning motivation, learning ability, and teaching method.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.9
• /
• pp.3959-3966
• /
• 2011

The purpose of this study was to investigate the effect of self-regulated learning ability on English learning achievement. A survey was conducted to the students majoring different fields of study in order to measure their self-regulated learning ability from March 10, 2010 to June 10, 2010. The result indicates a strong correlation between students' English achievement and self-regulated learning factors such as cognitive, affective, and behavior regulation. The results revealed that instructional, and training interventions should be needed to have significant goal-orientation, to maintain motivation, and to have self confidence from On-line and Off-line blended teaching for the successful English learning.

• Journal of radiological science and technology
• /
• v.44 no.6
• /
• pp.655-661
• /
• 2021

Positron emission tomography (PET) images is affected by acquisition time, short acquisition times results in low gamma counts leading to degradation of image quality by statistical noise. Noise2Void(N2V) is self supervised denoising model that is convolutional neural network (CNN) based deep learning. The purpose of this study is to evaluate denoising performance of N2V for PET image with a short acquisition time. The phantom was scanned as a list mode for 10 min using Biograph mCT40 of PET/CT (Siemens Healthcare, Erlangen, Germany). We compared PET images using NEMA image-quality phantom for standard acquisition time (10 min), short acquisition time (2min) and simulated PET image (S2 min). To evaluate performance of N2V, the peak signal to noise ratio (PSNR), normalized root mean square error (NRMSE), structural similarity index (SSIM) and radio-activity recovery coefficient (RC) were used. The PSNR, NRMSE and SSIM for 2 min and S2 min PET images compared to 10min PET image were 30.983, 33.936, 9.954, 7.609 and 0.916, 0.934 respectively. The RC for spheres with S2 min PET image also met European Association of Nuclear Medicine Research Ltd. (EARL) FDG PET accreditation program. We confirmed generated S2 min PET image from N2V deep learning showed improvement results compared to 2 min PET image and The PET images on visual analysis were also comparable between 10 min and S2 min PET images. In conclusion, noisy PET image by means of short acquisition time using N2V denoising network model can be improved image quality without underestimation of radioactivity.

• Journal of Practical Engineering Education
• /
• v.12 no.1
• /
• pp.73-83
• /
• 2020

Recently, the importance of self-directed learning has emerged in the fields of public education, private education, lifelong education, and vocational training education, in which learners can actively cope with knowledge in an infusion-oriented way. However, there are various theoretical knowledge such as concepts and strategies for self-directed learning, but the situation is insufficient for a system where learners can easily receive content in the academic field they want, depending on the actual self-directed learning operation plan or learning area. Therefore, since it is important to provide various learning content in this paper, we utilize text mining techniques to obtain appropriate information and refine and categorize the meaning. On-line, they want to study a system that provides a variety of content in the academic field that learners are trying to acquire.