• Journal of Korea Society of Industrial Information Systems
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• v.12 no.5
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• pp.173-182
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• 2007

e-Learning can be seen as not only one of Internet based information systems which can provide education services, but also one of teaching-learning methods which can implement self-directed learning. This paper tests factors affecting the e-Learning performance based on information systems success model and self-efficacy theory using a field study. Questionnaires are collected from 216 students who are enrolling a e-learning class using online survey. The results are following: first, the service quality and self-efficacy are significant predictors of use intention, but system quality and information quality are not. second, the system quality, information quality, service quality and self-efficacy are significant predictors of user satisfaction. Third, use intention and user satisfaction are found to be a strong predictor of the learning performance.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.141-148
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• 2019

The purpose of this study is to analyze and compare the effectiveness of elementary in e-Learning video lessons. In an elementary school where the educational videos are frequently used, the learning about video materials is important but it is difficult to judge all students by a teacher in a classroom. In order to solve the problems of the field, In the fifth-grade elementary school social studies class, learning using video material was conducted by using the online learning judgment system for the experimental group, and learning using video material was conducted by the traditional method for the controlled group. As a result of the experiment, the class using the online learning judgment system was effective in enhancing the learner 's academic achievement. It also positively influenced learners' learning satisfaction. Teachers' satisfaction was not statistically significant because of the small number of teachers. However, The mean value of the teachers' satisfaction in the experimental group was high and the deviation was small.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.27-40
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• 2022

Medical AI, which has lately made significant advances, is playing a vital role, such as assisting clinicians with diagnosis and decision-making. The field of chest X-rays, in particular, is attracting a lot of attention since it is important for accessibility and identification of chest diseases, as well as the current COVID-19 pandemic. However, despite the vast amount of data, there remains a limit to developing an effective AI model due to a lack of labeled data. A research that used federated learning on chest X-ray data to lessen this difficulty has emerged, although it still has the following limitations. 1) It does not consider the problems that may occur in the Non-IID environment. 2) Even in the federated learning environment, there is still a shortage of labeled data of clients. We propose a method to solve the above problems by using the self-supervised learning model as a global model of federated learning. To that aim, we investigate a self-supervised learning methods suited for federated learning using chest X-ray data and demonstrate the benefits of adopting the self-supervised learning model for federated learning.

• The Research Journal of the Costume Culture
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• v.30 no.4
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• pp.594-607
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• 2022

This study is a follow-up paper on "Development of flipped learning class model for nail beauty education" published by Seol (2022). This model was conducted from March to June 2022 for 70 students taking the "Nail color design 1" course. After 15 weeks of class, a survey of the students' perceptions of flipped learning and their self-evaluation of goal achievement was conducted, which was composed of questionnaires using a 5-step Likert scale. 15 questions were designed to evaluate the students' satisfaction with their experience and class operations; 4 questions to evaluate whether the class goal had been reached through flipped learning; and 9 questions to evaluate the students' perceptions of flipped learning. As a result of applying this model to theoretical and practical nail beauty classes, it was confirmed that flipped learning helped students better understand the content and had a positive effect on learning, while the subject's educational goals were also achieved. By evaluating the students' perceptions of flipped learning, we may conclude that they experienced learning satisfaction and perceived the approach positively. Moreover, they have expressed a desire for additional flipped learning. This study is thus meaningful in confirming the procedure's effectiveness by applying the flipped classroom model to theoretical and practical subjects with a focus on the nail beauty field, and showing how it achieved students' positive perceptions and educational goals.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.5
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• pp.211-219
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• 2010

There are significant changes are in education field: the paradigm shift from teacher-centered and text-oriented learning to learner-centered and multimedia-oriented learning. Many researchers have proposed that the e-learning contents is one of the most important factors on e-learning performance. This study analyzes the effect of types of test information on learning performance in e-learning contents. The results show that the interaction effect between types and gender influences the comprehension of learning; the female prefers to the feedback and narrative type but the male prefer to the narrative type. The narrative type showed the highest score on the comprehension and satisfaction of learning among three different types. Also, the main effect of gender difference had no effect on e-learning performance.

• Journal of Educational Research in Mathematics
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• v.8 no.1
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• pp.327-350
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• 1998

The purpose of this study is to examine the applicability of educational games to open mathematic learning and consideration to the position of educational games in mathmatical education as powerful technology. For these purposes, previous literatures about games are reviewed. The concept of simulation games are defined and explore the characteristics of games includings game structure and process. And some typical educational games - Israel games, ORDA - are introduced. The main focus of the deliberation and survey of previous literatures is educational games as meaningful learning medium of mathematics and other subjuct matters. Especially educational games take a meaningful role for an implication of applicability of games especially for higher order thinking skills like problem solving, decision making, and creativity. To realize this alternative learning method of mathematics, first of all the attituce of teachers are have to change and accumulate field studies.

• Journal of The Korean Association of Information Education
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• v.6 no.2
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• pp.120-129
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• 2002

In this paper, I survey the field which students use ICT and propose a teaching and learning model to improve students' ability in using ICT. Also, I apply it and prove its' effect. Because Problem Based Learning treats ill-structured problem which reflects actuality, Students can pick up the actual knowledge and become verse in general principle or concept which can transmit resemble problem or situation. Therefore, I hope a teaching and learning model which I propose in this paper has an effect to improve students' ability in using ICT.

• Journal of KSNVE
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• v.10 no.2
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• pp.331-337
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• 2000

The necessity of diagnosis of the rotating machinery which is widely used in the industry is increasing. Many research has been conducted to manipulate field vibration signal data for diagnosing the fault of designated machinery. As the pattern recognition tool of that signal, neural network which use usually back-propagation algorithm was used in the diagnosis of rotating machinery. In this paper, self-organizing feature map(SOFM) which is unsupervised learning algorithm is used in the abnormal defect diagnosis of rotating machinery and then learning vector quantization(LVQ) which is supervised learning algorithm is used to improve the quality of the classifier decision regions.

• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.189-205
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• 2000

We investigate the appropriate design and implementation of an Inductive Learning Alogrithm with a Neural Network in order to solve both inconsistent indexing and incomplete query problems on the web. Specifically, the proposed system based queries and documents in the field of Mathematics shows how inductive learning method and neural networks can apply to information retreival. Also, this study examines all of parameters of the neural networks -- the number of node in input and output, hidden layer size and learning parameters etc. -- which are significant in determining how well the neural network will converge.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.