• Journal of Engineering Education Research
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• v.14 no.1
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• pp.3-10
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• 2011

The purpose of this study is to analyze the effectiveness of applying e-learning in industrial technology practical retraining. We have conducted a questionnaire survey for 177 subjects in 23 courses of four types of industry. Also, we have performed focus group interviews to analyze the problem and the reason for taking e-learning classes. A satisfaction measurements of the contents area(average 3.78 out of 5.0) and system area(average 3.70) were relatively high. However, the satisfaction measurement of the management area(average 3.0) was relatively low. The satisfaction measurement of learning area(average 3.68) was relatively high, but that of the behavior area(average 3.51) was on a normal level. In conclusion, an application of e-learning showed the effect on extending educational chances and spreading the technology in highly technological fields. We suggest that e-learning should be consistently and specifically expanded.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.163-168
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• 2013

In this study, we investigated the effect of the modification of the system for vocational education and training support in 2009 has on the e-learning industry in South Korea, and diagnosed the problems associated with it. And we proposed on the direction of policy promotion that can contribute to the realization of creative economy by presenting improvement alternatives of the legal system on the vocational education and training that smart learning and creative convergence HRD are included.

• Perspectives in Nursing Science
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• v.9 no.1
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• pp.51-60
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• 2012

Purpose: The purpose of this study was to develop a self-directed e-learning program for ICU nurses and to evaluate how the proposed e-learning program affects the level of knowledge, nursing performance and job satisfaction of ICU nurses. Methods: The e-learning program was developed with the Computer Assisted Instruction Design Model using sources of self-efficacy which included the inactive attainment, vicarious experience, and verbal persuasion of ICU nurses. The program was evaluated by experts. Following the revision of the program, it was applied to a total of 59 ICU nurses (experimental group n=29, control group n=30) from three hospitals. Four weeks later, we measured the level of knowledge, nursing performance and job satisfaction. Results: The level of knowledge significantly improved in the experimental group (t=5.691, p<.001). Moreover, the level of nursing performance significantly increased in the areas of circulatory diagnostic test (t=2.143, p=.039), EKG (t=2.911, p=.006), aortic balloon pump (t=2.491, p=.017), and nebulizer therapy (t=2.085, p=.044). Overall, job satisfaction did not significantly increase (t=1.664, p=.105); however, job satisfaction in terms of relationships with coworkers (t=2.371, p=.023) and the needs of nursing performance (t=2.940, p=.006) were significantly increased. Conclusion: The results showed that the proposed e-learning program using sources of self-efficacy from ICU nurses was an effective learning method to increase the level of knowledge and nursing performance. The propose de-learning program would be a useful teaching tool for ICU nurses improving the quality of ICU patient care.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.187-196
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• 2011

This study found the power analysis and increase plan of Smart work industry out. We did the internet survey with 117 experts of Smart work and analyzed International competitive power and Smart work marketability. The results was as follows: First, Experts recognized the growth about Cloud computing industry so that they were most high. Second, The thing which the earning of Smart work industry is high appeared a Security industry, Cloud computing industry, and Mobile office industry etc sequence. Third, The Smart work industry which an international technique power level is high appeared in a Smart e-learning industry, Mobile office industry, and Security industry etc sequence. Lastly, An Smart work industry which the concentration supports in the government dimension Security industry, Cloud computing industry, Smart work user SW industry, and Smart e-learning industry etc sequence. This research products will use for there even though it prepares a concentration support industry in the government dimension an activation policy.

• Journal of the Korean Society for Heat Treatment
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• v.36 no.6
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• pp.396-401
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• 2023

Aus-tempering heat treatment is suitable for thin and small-sized in precision parts. However, the heat treatment process relies on the experience and skill of the operator, making it challenging to produce precision parts due to the cold forging process. The aims of this study is to explore suitable machine learning models using data from the aus-tempering heat treatment process and analyze the factors that significantly impact the mechanic properties (e.g. hardness). As a result, the study analyzed, from a machine learning perspective, how hardness prediction varies based on the quenching temperature, carbon (C), and copper (Cu) contents.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.1146-1151
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• 2006

The railway industry came at specialization of railway, high speedization and internationalization age recently. For this national railway technology competitive power of improve and need human strength training through special and expansive railway education that can meet in change. Also, request about professional manpower of other wide field by internationalization beside existing railway major person, pointed end anger is judged to be increased. Will present education system improvement way that can grope activation of education for specialization and internationalization of railway human strength through research of railway e-learning education in this research.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.11-19
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• 2013

In this study, we analyze how the difficulties of e-learning firms' management affect to the maturity of the practical use of e-learning research & development (R&D) policies. And we explore the method that can enhance the effectiveness of policy. In the pursuit of this purpose, we use the 2012 South Korea e-learning industry survey data. Using variables of recognition of policy, experience of policy, and intention to use of policy, we find the maturity model of six stages. And we analyze the impact of the difficulties of operation, technology development, marketing to the maturity model. As a result, the more e-learning firms have problems of fund management and technology commercialization, they are located the higher maturity of the use of policy. Based on the results of these studies, we discuss the implication for how can enhance the effectiveness of policies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.3
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• pp.105-113
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• 2017

Considered as the "new normal" mode of learning, BL has become popular in recent years especially in University education. BL is defined as a learning approach that combines e-learning and face-to-face classroom learning. BL allows for more interactive and reflective learning environment resulting in enhancing learner-directed learning. The adoption of BL in university has made it significant to probe the crucial determinants that would entice instructors and learners to use BL and enhance learning satisfaction. The primary purpose of this study is to investigate the affecting factors of the satisfaction of BL in universities in terms of leaner's aspects. Learner's role is very important in BL, because learner should self-directed study for effective performance and satisfaction in BL environment. Based on prior studies motivation, self-efficacy, and educational expectancy were identified as affecting factors of satisfaction in BL. According to the result of multiple regression, all factors(motivation, self-efficacy, and educational expectancy) were found to be significantly related to the learner's satisfaction in BL. It can provide practical guideline on effective operation strategy for BL in universities.

• Proceedings of KHEA Conference
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• 1997.07a
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• pp.68-68
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• 1997

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.125-132
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• 2021

At a time when non-face-to-face classes are being held for a long time due to Corona (COVD-19), research on non-face-to-face teaching and learning methods is needed. Existing teaching and learning methods are limited in their application to non-face-to-face classes as they present face-to-face practical and experiential teaching methods. In this study, we present a method of utilizing the extended reality (XR: eXtended Reality) technology for the 5AL (5 Activity Learning) teaching method, which is a teaching and learning method selected by the Institute for University Education Innovation. The 5AL teaching method consists of PBL Learning, Havruta Learning, Flipped Learning, Smart Activity Learning, and Gamification Learning. In this study, a method of combining the released extended reality contents with 5AL was presented. In addition, we developed content that integrates the 5 learning methods of 5AL and confirmed the learning effect through testing.