• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.151-157
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• 2009

A lot of E-Learning system is supplying the existent item difficulty based learning information to learner. And learner is doing learning contents according to the fixed learning course. It is difficult for learner to get efficient learning effect. Because learner has to belong to fixed item difficulty and learning course even thought learner has different degree that understand studying in learning course. This research proposed the learner adaptive E-learning system that is able to control the item difficulty and learning course to analyze the understanding degree of learner in learning course. In this result, learner is able to improve learning effect to get rid of fixed learning course using bi-directed learning such as off-line learning.

• Journal of The Korean Association of Information Education
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• v.17 no.4
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• pp.507-513
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• 2013

The purpose of this paper is to compare the learning effectiveness of autonomous learning between on-line cyber learning using Internet media and off-line learning using printed media. In this study, each group is provided with the same learning contents and the same learning conditions. For autonomous learning the results revealed a significant difference between on-line cyber learning being not as effective as off-line learning. In order to improve the effectiveness of on-line cyber learning the negative aspects have been identified. These findings will help to improve the development of on-line learning effectiveness.

• English Language & Literature Teaching
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• v.18 no.1
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• pp.217-235
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• 2012

The purpose of this study was to identify the perceptual learning style preferences of 97 Korean EFL students in middle school. Furthermore, it examined if students' learning styles varied in terms of gender and grade level. Data was collected by using Reid's (1987) PLSPQ and a personal background questionnaire and was analyzed by using descriptive statistics, MANOVA, ANOVA, and t-test. The results revealed that subjects had all six major learning styles but among them, auditory, group, and visual styles were the most preferred by them. The results found in this study, presented that Korean EFL middle school students favored learning English through listening, reading and working in groups and that younger students preferred learning through physical involvement and practicum. The findings of this study provide a number of useful insights for EFL and ESL educators and instructors in Korea. The current study suggests that a great number of variables such as culture, learning situation of the target country, age, and grade level can all play important roles in shaping the learning preferences and the learning styles of students. Considering these variables and promoting a curriculum that is interesting, appealing and successful may help maximize student L2 learning.

• Women's Health Nursing
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• v.26 no.1
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• pp.5-9
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• 2020

Artificial intelligence (AI), which includes machine learning and deep learning has been introduced to nursing care in recent years. The present study reviews the following topics: the concepts of AI, machine learning, and deep learning; examples of AI-based nursing research; the necessity of education on AI in nursing schools; and the areas of nursing care where AI is useful. AI refers to an intelligent system consisting not of a human, but a machine. Machine learning refers to computers' ability to learn without being explicitly programmed. Deep learning is a subset of machine learning that uses artificial neural networks consisting of multiple hidden layers. It is suggested that the educational curriculum should include big data, the concept of AI, algorithms and models of machine learning, the model of deep learning, and coding practice. The standard curriculum should be organized by the nursing society. An example of an area of nursing care where AI is useful is prenatal nursing interventions based on pregnant women's nursing records and AI-based prediction of the risk of delivery according to pregnant women's age. Nurses should be able to cope with the rapidly developing environment of nursing care influenced by AI and should understand how to apply AI in their field. It is time for Korean nurses to take steps to become familiar with AI in their research, education, and practice.

• Journal of Gifted/Talented Education
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• v.23 no.2
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• pp.177-191
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• 2013

This study compared the difference of learning style, self-regulated learning, learning flow, analyzed the learning style impact on self-regulated learning and learning flow between gifted and normal student. The subjects of this study were 118 sixth grade gifted students and 124 general students who showed academic achievement of the same level. According to the results of this study, gifted elementary children had more than the general independent, competitive, participatory learning style and they used personal, behavioral and environmental self-regulation strategies more often. Also they had a higher degree of learning flow than the general. Both gifted and general students, the more independent and participatory learning style, the more increased self-regulated learning and learning flow. And the more used self-regulated learning, the more increased learning flow. The learning flow of the gifted children was higher the more independent, the more participatory, the more used behavioral and personal self-regulated learning strategies. The learning flow of the general elementary children was higher the more participatory, the more used environmental and personal self-regulated learning strategies.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.229-238
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• 2018

The purpose of this study is to investigate the mediating effect of learners' learning flow in the effect of presence on academic achievement in web-based e-learning. For this purpose, this study analyzed the influencing relationship between the each factor based on the structural model with the learning flow as a mediator variable. Based on existing theoretical studies, learning satisfaction and academic achievement, which represent learning outcomes, are set as dependent variables, and teaching presence, cognitive presence, and social presence are set as independent variables. Data collected from a total of 256 e-learning learners were used in the analysis of this study. According to the results of the analysis, teaching presence, cognitive presence, and social presence were found to have a significant effect on academic achievement when a learning flow is a mediator variable. Concretely, teaching presence, cognitive presence, and social presence have a positive effect on the learning flow, while learning flow has a positive effect on learning satisfaction. On the other hand, learning flow has a negative effect on academic achievement. As a result of verifying the mediating effect of learning flow on the relationship between presence, learning satisfaction, and academic achievement, there was meditating effect in the aggregate. This study implies that in order to increase the level of learning satisfaction and academic achievement, it is necessary to make the teaching-learning design in the provision of contents and materials for e-learning so that the learner can feel the presence. The results of this study can be used as a basic data for seeking support and promotion strategies for enhancement of future learning flow and presence.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.2
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• pp.153-176
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• 1994

In this paper we introduce machine learning theory to business domains for business decisions. First, we review machine learning in general. We give a new look on a previous framework, version space approach, and we introduce PAC (probably approximately correct) learning paradigm which has been developed recently. We illustrate major results of PAC learning with business examples. And then, we give a theoretical analysis is decision tree induction algorithms by the frame work of PAC learning. Finally, we will discuss implications of learning theory toi business domains.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.41-68
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• 2019

Multi-view learning considers data from various viewpoints as well as attempts to integrate various information from data. Multi-view learning has been studied recently and has showed superior performance to a model learned from only a single view. With the introduction of deep learning techniques to a multi-view learning approach, it has showed good results in various fields such as image, text, voice, and video. In this study, we introduce how multi-view learning methods solve various problems faced in human behavior recognition, medical areas, information retrieval and facial expression recognition. In addition, we review data integration principles of multi-view learning methods by classifying traditional multi-view learning methods into data integration, classifiers integration, and representation integration. Finally, we examine how CNN, RNN, RBM, Autoencoder, and GAN, which are commonly used among various deep learning methods, are applied to multi-view learning algorithms. We categorize CNN and RNN-based learning methods as supervised learning, and RBM, Autoencoder, and GAN-based learning methods as unsupervised learning.

• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.2
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• pp.113-123
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• 2024

Purpose: This study aimed to examine the mediating effect of learning immersion in clinical simulations on the relationship between nursing student learning motivation and achievement in clinical simulation. Methods: This study was conducted using a cross-sectional survey with 184 nursing students from two universities who participated in clinical simulation between September and December 2022. The participants completed a self-administered questionnaire, and the collected data were analyzed using independent an independent t-test, Mann-Whitney U-test, one-way ANOVA, Pearson's correlation coefficient, and multiple regression analysis to identify the mediating effects of learning immersion on the relationship between nursing student learning motivation and achievement. Results: Among the subvariables of nursing student learning motivation, task value and self-efficacy for learning and performance had a significant effect on learning immersion (respectively, β=.36, p=.001; β=.31, p<.001) and learning achievement (respectively, β=.48, p<.001; β=.38, p<.001). With the input of learning motivation variables, the direct effect of learning immersion on learning achievement was significant (β=.20, p=.003), and the effects of learning motivation and task value and self-efficacy on learning achievement was reduced after controlling for learning immersion, which is a mediating variable (respectively, β=.41, p<.001; β=.32, p<.001). The bootstrapping test to confirm the mediating effect of learning immersion was also significant (task value 95% confidence interval [95% CI], 0.02~0.20; self-efficacy 95% CI, 0.01~0.12). Conclusion: The results of this study suggest that simulation educators should consider learners' motivation and immersion when organizing and operating clinical simulations.

• CELLMED
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• v.13 no.10
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• pp.9.1-9.6
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• 2023

This study aims to explore the potential of Korean language learning as a means of psychological healing and improving the quality of life for Japanese middle-aged and older learners. Results showed that Korean language learning could help alleviate various psychological issues experienced by middle-aged learners and contribute to enhancing their quality of life. Learning a foreign language is not just about acquiring information but also about meeting people who use the language and understanding and experiencing their culture. In particular, for Japanese middle-aged learners, Korean language learning can be advantageous as it can lead to the discovery or development of new hobbies or interests. Results also showed that Korean language learning increased learners' opportunities for interaction with others and enjoyment of learning new cultural customs. These positive outcomes suggest the need for discussion of teaching strategies that focus on psychological healing in foreign language education. Further clinical trials with participants who learn foreign languages for healing purposes may provide more conclusive evidence on the diverse effects of language learning on stress, anxiety, depression, self-development, social connections, and cognitive ability.