• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.125-138
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• 2022

Companies want organizational members who take e-learning courses to enjoy the advantages of transcending time and space that e-learning has, but also want what they have learned to help the organization, the work they perform, or their future careers. In addition, while enjoying the effect of reducing education costs compared to offline education through e-learning, it is expected that executives and employees will apply the knowledge and skills learned to the field and perform tasks to achieve results. As COVID-19 continues, many education programs that have been conducted offline at corporate sites have been converted to e-learning, with a larger number of e-learning operations than in the past. This study was conducted based on the perception that learners' learning satisfaction is important for the successful operation of e-learning education, and that learners' own self-directed learning ability and self-determination are important as well as corporate efforts. As a result of the study, hypotheses 1-1, 1-2, 1-3-1, and 1-3-2 that the better the self-determination (autonomy, competence, full-time support, and peer support) is, the higher the learning satisfaction will be. Both Hypothesis 2-1 and Hypothesis 2-2 were adopted that the better self-directed learning (subjectivity, execution ability) is, the higher the learning satisfaction will increase. In conclusion, it is necessary to properly introduce the concepts of self-determination and self-directed learning in corporate education while operating with the corporate education system.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.197-204
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• 2018

One of the hottest issues in our 21st century is AI. Just as the automation of manual labor has been achieved through the Industrial Revolution in the agricultural society, the intelligence information society has come through the SW Revolution in the information society. With the advent of Google 'Alpha Go', the computer has learned and predicted its own machine learning, and now the time has come for the computer to surpass the human, even to the world of Baduk, in other words, the computer. Machine learning ML (machine learning) is a field of artificial intelligence. Machine learning ML (machine learning) is a field of artificial intelligence, which means that AI technology is developed to allow the computer to learn by itself. The time has come when computers are beyond human beings. Many companies use machine learning, for example, to keep learning images on Facebook, and then telling them who they are. We also used a neural network to build an efficient energy usage model for Google's data center optimization. As another example, Microsoft's real-time interpretation model is a more sophisticated translation model as the language-related input data increases through translation learning. As machine learning has been increasingly used in many fields, we have to jump into the AI industry to move forward in our 21st century society.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.309-318
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• 2005

e-learning has been recently introduced in all educational domains and it has expanded rapidly in educational field. Blended learning, which has emerged with e-learning nowadays, is an exact example of a new paradigm. It has not only educational effects of traditional classroom learning, but it also has effects of e-learning which provides learner-centered classroom environment and removes barriers of time and space. This study looked into several e-learning contents evaluation criteria that were already studied, And arranged with the evaluation question item that can evaluate learning effectiveness of e-learning contents in elementary school through a questionnaire executed in elementary school teachers. And it used this evaluation question item and the study accomplishment results of an education ruler, and applied to learning effectiveness evaluation of e-learning contents. This paper will give future directions and assessment criteria of e-learning. Moreover, this thesis will provide theoretical and practical materials for developing e-learning contents to improve quality of blended learning.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.1
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• pp.87-92
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• 2016

In this paper, optimization technique such as particle swarm optimization was used to optimize the parameters of fuzzy Extreme Learning Machine. While the learning speed of conventional neural networks is very slow, that of Extreme Learning Machine is very fast. Fuzzy Extreme Learning Machine is composed of the Extreme Learning Machine with very fast learning speed and fuzzy logic which can represent the linguistic information of the field experts. The general sigmoid function is used for the activation function of Extreme Learning Machine. However, the activation function of Fuzzy Extreme Learning Machine is the membership function which is defined in the procedure of fuzzy C-Means clustering algorithm. We optimize the parameters of the membership functions by using optimization technique such as Particle Swarm Optimization. In order to validate the classification capability of the proposed classifier, we make several experiments with the various machine learning datas.

• Journal of Institute of Control, Robotics and Systems
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• v.2 no.2
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• pp.108-114
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• 1996

We present proofs of the stability and convergence of Self-organizing feature map (SOFM) neural network with time-invarient learning rate and binary reinforcement function. One of the major problems in Self-organizing feature map neural network concerns with learning rate-"Kalman Filter" gain in stochsatic control field which is monotone decreasing function and converges to 0 for satisfying minimum variance property. In this paper, we show that the stability and convergence of Self-organizing feature map neural network with time-invariant learning rate. The analysis of the proposed algorithm shows that the stability and convergence is guranteed with exponentially stable and weak convergence properties as well.s as well.

• East Asian mathematical journal
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• v.34 no.4
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• pp.339-358
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• 2018

There has been researches for effective education. Among them, many researchers are striving to apply Zone of Proximal Development of Vygotsky which is emphasizing the social interaction in the field of teaching and learning. Researchers usually research based on individual or small group of students. However the math class in school relies on system that one teacher teach many students in reality. So this research will look for the effect that the teaching and learning program based on Zone of Proximal Development of Vygotsky by designing the teaching and learning program which is based on scaffolding structuring to overcome the zone of proximal development in many-students class. The results of this research are as follows: First, the studying program considered the theory of Vygotsky has a positive effect on improving the mathematical achievement of elementary student. Second, the studying program considered the theory of Vygotsky has a positive effect on improving the student's studying attitude upon mathematics.

• Journal of Gifted/Talented Education
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• v.7 no.2
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• pp.47-67
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• 1997

Fourteen Special high schools for developing talents in Science, Foreign Languages, and Arts in Seoul Metropolitan city were analyzed in terms of their educational objectives, Students screening system, curriculum, teaching-learning methods, teachers, and consistency with higher education. Special high schools in talent area were more or less similar to each other in all the above aspects. However, special high schools in different talent areas were quite different in student screening, teaching-learning methods, teachers, and consistency with higher education. Public schools were more affluent than the private ones. Special high schools in Science, arts and Sports were providing individualized, activity oriented, process-oriented teaching-learning methods, while the Foreign languages high schools excercised teacher-centered, grammar oriented, lecture-focused teaching methods more. Special high schools in arts and sports could have consistency with higher education because the university focuses on talents in the specified field rather than academic scores. In conclusion, the schools have a great deal of rooms to improve in teaching-learning methods with which students can maximize their potential development. However, the special high schools were equipped with better learning environments than regular high schools in many aspects.

• Journal of Engineering Education Research
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• v.14 no.1
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• pp.55-63
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• 2011

This paper deals with how to apply PBL(Problem-based learning model) model to interdisciplinary field such as engineering accounting. The PBL approach can provide a solution about educational issue for engineering accounting with a systematic view. A web-based practice system, which is a core element of PBL model and a learning object and practical exercise for engineering students, is developed.

• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.63-69
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• 2010

This research does focus on supporting all of formal, or informal learning at real time. From industry or education field, learning training is according to worker's current situation or business context. And according to worker's current situation, or business flow, 3D immersion knowledge visualization is effective in the individual ability and the learning progress For this, workers listen to compound knowledge coaching advices at real time. Therefore we developed the realistic 3D based knowledge retrieval method to identify and retrieve multidimensional relation easily.

• Animal cells and systems
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• v.9 no.2
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• pp.47-55
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• 2005

Avian vocalization has been main topics in studying animal communication. The structure and usage as well as development and function of vocalization vary enormously among species and even among populations, and thus we reviewed the general patterns of song learning and the consequences of song communication in birds at the behavioural level: first, we compared the different learning phenomena between non-songbird and songbird, and we investigated the learning process of songbird both in the field and in the lab, which are needed to fully understand vocal communication. Second, we discussed a recent trend of sexual selection hypothesis explaining the structural and functional diversity of song in songbirds with repertoire and presented how the repertoire is actually used between neighbours based on individual recognition.