• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.369-376
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• 2020

This study was conducted to verify the effectiveness of learning using micro-running. To this end, the learning materials of the class were produced in three forms: micro-learning, existing e-learning, and handouts, to compare the learning satisfaction and learning effect for college students at Y and K universities located in K-do. First, when using learning materials in the form of micro-learning, learning satisfaction was the highest. Second, the learning effect was effective for both e-learning and micro-learning. And micro-learning was more effective when both types of learning materials were used. The results of this study look forward to activating micro-learning in university by researching micro-learning of the new learning type that emerged as a social phenomenon, highlighting the importance of micro-learning and presenting basic data for subsequent study.

• 대한공업교육학회지
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• v.30 no.1
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• pp.19-36
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• 2005

The purpose of this study is to develop the Public Practice Center's teaching-learning model by applying blended learning strategies which is complementary to the expected problems such as expansion of the educational object and diversity of the curriculum to maximize the educational effect and to analyze activation types of the Practical Practice Center to expand the Public Practice Center's function and role by studying the document. Blended Learning Strategies are established in consideration of the following eight (8) factors ; learning environment, learning purpose, learning contents, learning time, learning place, learning type, learning media, type of interaction. It is redesigned and amended to the KEDI's individual confirmation instruction model for skill learning (1975) which is considered to be effective in the filed of education by applying features, educational contents of the Public Practice Center's teaching and merit of Blended Learning Strategies simultaneous. This model is composed of six (6) steps as shown below; 1. Understanding on the purpose and orientation 2. Observation for demonstration of fundamental skill 3. Ex on-line learning 4. Acquirement of element skill 5. Confirmation for acquirement of fundamental skill 6. After on-line learning. Further to this, this model is designed so that the above eight factors will be applied to the students effectively and the merit of e-learning and off-line practice will be mixed to the learner's expectation and satisfaction.

• Journal of Technologic Dentistry
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• v.39 no.3
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• pp.171-177
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• 2017

Purpose: The purpose of the study is to analyze the effects that Flipped Learning Method has on a college student's self directed learning ability, critical thinking disposition, learning motivation, and learning satisfaction, and determine its effectiveness as a new pedagogical approach. Methods: The survey was conducted on dental technology students. The collected data was analyzed by the statistical program SPSS 21.0. The results were analyzed by reliability, frequency, t-test. To test for significance on each item, p<0.05 has been decided as a standard. Results: According to the analysis, the student who attended a class that utilized Flipped Learning Method was found to have higher levels of self directed learning ability, critical thinking disposition, learning motivation, and learning satisfaction than a student who attended a class that did not utilize such a method. Conclusion: The study results show that, in order to enhance students' self directed learning ability, critical thinking disposition, learning motivation, and learning satisfaction and to improve the quality of class instruction, it may be necessary that Flipped Learning Method be adopted more widely and recommended more strongly. Such changes will promote a long term improvement in educational environments and play a major role in strengthening students' abilities.

• IE interfaces
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• v.19 no.4
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• pp.324-332
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• 2006

It is believed that each learner has a preferred method to acquire and manage knowledge according to her/his learning style which influences learning achievement directly. The purpose of this paper is to statistically analyze relationships among individual learning styles, tutoring functions, and learning achievement in an e-learning environment. 524 survey results from participants of enterprise e-learning classes are classified into total group and superior group. T-Test and ANOVA analyses are carried between learning style and learning achievement and between learning style and preferred tutoring functions. The analysis results show that individual learning styles do not contribute to learning achievement while they are strongly related to preferences for some of tutoring functions. These results can be used to identify limitation of current e-learning practice and design better e-learning systems, especially, supporting appropriate tutoring functions for different types of learners.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.231-246
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• 2008

This paper suggests an e-learning system model, a goal-driven personalized e-learning system, which increase the effectiveness of learning. An e-learning system following this model makes the learner choose the learning goal. The learner's choice would lead learning. Therefore, the system enables a personalized adaptive learning, which will raise the effectiveness of learning. Moreover, this paper proposes a SCORM standard, which modifies SCORM 2004 that has been insufficient to implement the "goal driven personalized e-learning system." We add a data model representing the goal that motivates learning, and propose a standard for statistics on learning objects usage. We propose each standard for contents model and sequencing information model which are parts of "goal driven personalized e-learning system." We also propose that manifest file should be added for the standard for contents model, and the file which represents the information of hierarchical structure and general learning paths should be added for the standard for sequencing information model. As a result, the system could sequence and search learning objects. We proposed an e-learning system and modified SCORM standards by considering the many factors of adaptive learning. We expect that the system enables us to optimally design personalized e-learning system.

• Fourth Industrial Review
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• v.3 no.1
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• pp.13-20
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• 2023

Purpose - By designing a PEF(Personalized Education Feedback) system for real-time prediction of learning achievement and motivation through real-time EEG analysis of learners, this system provides some modules of a personalized adaptive learning system. By applying these modules to e-learning and offline learning, they motivate learners and improve the quality of learning progress and effective learning outcomes can be achieved for immersive self-directed learning Research design, data, and methodology - EEG data were collected simultaneously as the English test was given to the experimenters, and the correlation between the correct answer result and the EEG data was learned with a machine learning algorithm and the predictive model was evaluated.. Result - In model performance evaluation, both artificial neural networks(ANNs) and support vector machines(SVMs) showed high accuracy of more than 91%. Conclusion - This research provides some modules of personalized adaptive learning systems that can more efficiently complete by designing a PEF system for real-time learning achievement prediction and learning motivation through an adaptive learning system based on real-time EEG analysis of learners. The implication of this initial research is to verify hypothetical situations for the development of an adaptive learning system through EEG analysis-based learning achievement prediction.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.262-265
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• 2018

Deep learning, a sub-field of machine learning changing the prospects of artificial intelligence (AI) because of its recent advancements and application in various field. Deep learning deals with algorithms inspired by the structure and function of the brain called artificial neural networks. This works reviews basic architecture and recent advancement of deep structured learning. It also describes contemporary applications of deep structured learning and its advantages over the treditional learning in artificial interlligence. This study is useful for the general readers and students who are in the early stage of deep learning studies.

• International Journal of Internet, Broadcasting and Communication
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• v.4 no.1
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• pp.8-12
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• 2012

The purpose of this study is to review the possible effect of the learning paradigm shift from traditional method to ubiquitous learning. What are the societal issues that need to be address in order to design a new pedagogical platform trending from e-learning to m-learning and now the u-learning? That without the proper study of how learning environment may affect the learning process of an individual will lead to poor quality of education. This new era of learning environment offer a big opportunity for "anytime, anywhere" learning. Thus, Lifelong learning is at hand of everyone. Maximizing the benefit of new trend will be a great help and addressing the limitations will lead to quality education.

• Journal of Digital Contents Society
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• v.10 no.1
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• pp.73-85
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• 2009

In this paper, we propose integrated guidelines of effective e-Learning management system based on LMS(Learning Management System), LCMS(Learning Contents Management System), Authoring Tools by linking e-Learning system to management. The purpose of the study is to describe the present condition and major characteristics of domestic e-Learning System and to recommend quality assurance related to main functions and practical use of the corporate e-learning in multiple ways and implementation strategies to fit facilitator, tutor, learner.

• Journal of Digital Convergence
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• v.8 no.4
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• pp.151-164
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• 2010

This study utilized SPSS and AMOS program to research a process of learning satisfaction of learners, who used Ubiquitous Living English Experience Learning Center. The following results were found ; First, there was a positive correlation between learning setting and learning interest, between learning setting and learning satisfaction, between confidence and learning interest, between confidence and learning satisfaction, and between learning interest and learning satisfaction. Second, the process of the research model was meaningful in various ways: learning setting ${\rightarrow}$ confidence, learning setting ${\rightarrow}$ learning interest, learning setting ${\rightarrow}$ learning satisfaction, confidence ${\rightarrow}$ learning satisfaction, learning interest ${\rightarrow}$ learning satisfaction. Finally, learning setting had a direct influence upon learning interest and learning satisfaction.