• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.579-586
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• 2003

Agents are well fitted to e-commerce applicable area because they pursuit an autonomy and interact with dynamic environment. In this paper we propose an e-commerce agents using reinforcement learning. We modify a reinforcement teaming algorithm for agents to have an intelligent feature and to make a transaction as practical business body in behalf of a person. To show the validity of this approach, we classify agents into buying agents and soiling agents, give characters of level according to the degree of learning and communication. Finally we implement an e-commerce framework and show the result. In this paper we show a design of e-commerce agents which is based on the proposed learning algorithm and present that the agents have enough possibility of doing a transaction in practical e-commerce.

• Journal of The Korean Society of Integrative Medicine
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• v.2 no.3
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• pp.15-22
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• 2014

Backround : The paradigm of recent education has been shifting from existing style of professor-oriented, passive and rote teaching to learner-centered education. Rather than mere delivery of knowledge, today's idea of education uses various audiovisual media to let learners gain more problem-solving skills, judgment, cognitive thinking ability, and creativity to apply to real practice. Also, while current trends and change in policy ask for related industry to require practice-centered teaching learning model, Problem-Based Learning (PBL) is quite effective that it activates problem-solving skills as well as application of National Competency Standards (NCS). Purpose : The purpose of this study was to suggest a teaching learning model article as an approach to apply web-based PBL for patient & medical charge management practices. Discussion & Conclusion : This paper the cases on PBL and presents the teaching learning model on web-based PBL as an approach to applying web-based PBL, which fits Medical Information System Department that combines health-medical treatment and computer applications, to practical health administrative affairs.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.3
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• pp.41-52
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• 2023

This study developed and taught VR content to be used in clothing design and composition practice, which are practical subjects for home education students at the College of Education, and examined the learning effects on students who participated in VR experiences. First, after experiencing classes using VR content, students' perceptions of classes were examined considering participation, class level, expectations, and satisfaction through a survey. As a result of examining the experience of learning sewing machines in classes using VR content and changes in perception of classes, it was found that the class level, class expectations, and satisfaction were affected. As a result of comparative analysis of VR experiences and the perception of VR classes prior to experiencing VR content related to sewing machines developed for practical subjects, VR experiences affected class participation, class level, expectations, but satisfaction was not affected. The advantages of the VR class that students mentioned in the subjective evaluation included interest in the class, the degree of participation, the VR experience, and the use of VR. As for the disadvantages, difficulties in using the device, dizziness, frustration when using the device, and limitations of the program were mentioned.

• Journal of information and communication convergence engineering
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• v.18 no.4
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• pp.239-244
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• 2020

This study analyzed the influencing factors of learning engagement and teaching presence in online programming practice classes. The subjects of this study were students enrolled in an industrial specialized high school, who practiced creating Arduino circuits and programming using a web-based virtual practice tool called Tinkercad. This research adopted a tool that can measure task value, learning flow, learning engagement, and teaching presence. Based on this analysis, learning flow had a mediating effect between task value and online learning engagement, as well as between task value and teaching presence. Increasing learning engagement in online classes requires sensitizing the learners about task value, using hands-on platforms available online, and expanding interaction with instructors to increase learning flow of students. Furthermore, using virtual hands-on tools in online programming classes is relevant in increasing learning engagement. Future research tasks include: confirming the effectiveness of online learning engagement and teaching presence through pre- and post-tests, and conducting research on various practical subjects.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.1
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• pp.32-39
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• 2011

In this research, an improved learning system in engineering design and HRD curriculums, and an operation of experiment and practice are proposed. That is, we propose improvements for creativity, for filed orientation and for experimental and practice operation. Specifically, we suggest the possibility of common operation between engineering design and HRD curriculums based on learning experience.

• 대한공업교육학회지
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• v.34 no.2
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• pp.286-303
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• 2009

The purpose of this study is to investigate Chinese e-Learning development strategies based on the analysis of Korean Industry-Academia e-Learning cooperation. Literature review and interview with experts about the subject regarding this study were the main research methods for the study. The results of the study are as follows 1. Chinese government should amend and complement the e-Learning policy of the chinese enterprise continuously through the Korean government's experience about the e-Learning policy such as enterprise e-Learning system, standardization of LMS, and quality assurance. 2. Korean government's policy about e-Learning has emphasized on practical development of e-Learning contents and LMS. And we have found they have good effects from the policy in terms of human resource development. However, Chinese government generally has emphasized on external extension of the scale and administration.nte, Chinese government should follow the practical policy in the e-Learning development as Korean government has done. 3. The way of Individualized learning, cooperative learning, team work, WBI, standardized LMS, and Blended Learning in Korea could be well adapted in Chinese e-Learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.497-508
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• 2020

The paradigm focusing on learner-centered classes and the introduction of flipped learning through the connection between online and offline have been increasing. This study proved the educational effect by applying flipped learning to the basic draping course within the fashion practical course and revealed the implications for flipped learning from the instructor's perspective. The research methods are theatrical research and model development research in order to guide basic drape utilizing flipped learning. The study results revealed that learners' satisfaction was very high about the basic draping course combined with flipped learning, and it showed that students were very satisfied with the learning-related video because it can compensate for the decrease in education efficiency according to the number of attendees and improve education. Improvements shall include technical and content supplementation of video learning materials and presentation of documented learning materials, in addition to video materials. From the instructor's perspective, time needs to be set aside for video shooting and editing, a view of the composition of education from the learner's perspective, and an in-depth understanding of the instructor's curriculum for flipped learning design.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.261-269
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• 2018

This study was conducted to identify the effects of repeated cardiopulmonary resuscitation (CPR) training using smart learning on nursing students' knowledge, self-efficacy, and clinical competency. A quasi-experimental nonequivalent control group, pretest-posttest design was used. The subjects of the study were 102 nursing college students who had received CPR training for 6 months. The CPR training was divided into smart learning, lecture education, and practical education. Data were collected from November to December, 2016 and analyzed by descriptive statistics, ${\chi}^2$-test, t-test and one way ANOVA using the SPSS/WIN 21.0 program. The scores of cardiopulmonary resuscitation knowledge were higher in the lecture education group than the practical education group and the smart learning group. Scheffe's post hoc test revealed a statistically significant difference among groups (F=8.23, p=<.001). The self-efficacy of the practical education group was higher than that of the lecture education group and smart learning group, but this difference was not significant (F=2.46, p=.091). The clinical competency of the practical education group and smart learning group were higher than that of the lecture education group. Scheffe's post hoc test revealed that the value of clinical competency differed significantly among groups (F=59.90, p=<.001). Overall, the results showed that effective education differs based on nursing students' knowledge, self-efficacy, ad clinical competency. Combination training would be required for more effective repeated cardiopulmonary resuscitation training.

• Journal of Auto-vehicle Safety Association
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• v.8 no.1
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• pp.19-25
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• 2016

As new car technology is developing, temporal interaction is needed in automotive. Rhythmic pattern is one of the practical examples of temporal interaction in vehicle. To recognize rhythmic pattern and its input medium, dictionary learning is applicable algorithm. In this paper, performance and memory requirement of the learning algorithm is tested and is sufficiently good for use this acoustic sound.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.391-394
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• 1998

In this paper, we try to analyze two kinds of conventional neuro-fuzzy learning algorithms, which are widely used in recent fuzzy applications for tuning fuzzy rules, and give a summarization of their properties. Some of these properties show that uses of the conventional neuro-fuzzy learning algorithms are sometimes difficult or inconvenient for constructing an optimal fuzzy system model in practical fuzzy applications.