• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.309-318
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• 2005

Learners show lower cooperation and responsibility at e-Learning(Electronic Learning) than face-to-face learners in class. Accordingly the LMS(Learning Management System) focus on collaborative learning design in order to promote the learner's interaction. In this paper, the Experience Learning Support System with JXTA-based P2P(Peer-to-Peer) architecture is proposed for an effective collaborative learning and a blended learning. It intends learners to develop a self-leading learning ability and a creative problem-solving ability through experience learning object's sharing. The experimental results described that the proposed system was more effective in an enhancing learner's learning ability and a cooperative learning than existing system.

• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.140-148
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• 2014

The objective of this study is to address Effective Learning Methodology by subjects to acquire National Certification which is an essential requirement to get employed. For this purpose, analysis was completed after conducting a survey on the class to obtain Interior Architecture Engineer Certification. 23 applicants were selected based on effectiveness of each subject, level of difficulty, degree of understanding, mentoring effect, self-driven learning, and group discussion. Results are as below. Upon the first written test, Interior Design Theory and Chromatics showed a high learning effectiveness in self-driven learning and mentoring. Ergonomics showed a high learning effectiveness in mentoring, self-driven learning and group discussion while Building Materials, Architecture Construction presented a high effectiveness only in mentoring and group discussion. Architecture Environment showed average learning effectiveness in mentoring and group discussion and showed a low effectiveness in self-driven learning. Upon the second practice test, Interior Architecture Construction and Planning/Management of Construction Materials presented an average learning effectiveness in mentoring and group discussion. Process Control and Adding Up(Supply Calculation) showed a low learning effectiveness in self-driven learning and presented an average to below average learning effectiveness in mentoring and group discussion. Lastly, Interior Design Plan, Interior Design Drawings presented average learning effectiveness in mentoring and group discussion however they showed a high effectiveness in self-driven learning.

• Journal of the Korean Society of Earth Science Education
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• v.5 no.1
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• pp.114-123
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• 2012

This study investigates the effect of environmental club activities of the creative experiential learning activities on the improvement of students' Environmental Literacy and Pro-environmental Behavior. For that purpose, This study divided 24 students at Jinhae U Elementary School into test groups of 12 students and Control groups of 12 students. Test groups participated in the 'GomGomi' environmental Club for sixteen times from March 2011 to December 2011. Conclusions of this study include; First, we found that the environmental club activities is effective to improve the students' environmental Literacy overall. Specifically, the Environmental Club Activities was effective in the sub-catagories of environmental Literacy such as 'rights of nature' and 'eco-crisis'. However, there was no significant change in the sub-category of 'human exemptionalism' Second, we found that the environmental club activities is effective to improve students' pro-environmental behavior overall. Specifically, the environmental club activities was effective in the sub-domains of Pro-environmental Behavior such as 'cognitive domain' and 'affective domain'. However, there was no significant change in the sub-domains of 'behavioral domain'. Summary, the environmental club activities was shown to be effective for improving their environmental literacy and pro-environmental behavior; This study implies that the environmental club activities of the creative experiential learning activities would be a effective tool to help students to improve their environmental literacy and pro-environmental behavior.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.1
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• pp.148-155
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• 2014

The purpose of this research was to analyze the effects of smart learning. By using meta analysis method, twenty MA and Ph.D degree papers published from 2006 to 2013 were analyzed and 104 effect sizes were calculated. Followings were the results of the research: (a) Smart learning turned out to be more statistically effective comparing to traditional education. The total mean effect size was .886 and the value of U3 was 66.53%. (b) All effect size of sub dependent variables(ie, academic achievement, learning satisfaction, learning attitude) were also effective by adapting smart learning. (c) The moderated variables likes learner characteristics, learning content, and interaction had high effect sizes. Operation system variable had a low effect size but it was not significant.

• Journal of Digital Convergence
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• v.6 no.1
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• pp.123-135
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• 2008

In this study it is aimed to find out the relationship between the effective factors on learning motivation of the digital textbook. To carry on such exploration the learning motivation theory of Keller has been taken as the theoretical background. This is an experimental research with the data collected from 310 students who took the digital textbook class in the computer-mediated environment. It is compared and verified whether the factors causing learning motivation of the ARCS model embedded in the offline class influence on learner's motivation and achievement. With the outcomes, it has been tried to find out some practical suggestions for the achievement of the digital textbook. The results of the data show that the learning motivation of the digital textbook is significantly influence on the learning achievement.

• Journal of Ocean Engineering and Technology
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• v.36 no.3
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• pp.194-210
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• 2022

Recently, an analysis method using machine learning for solving problems in coastal and ocean engineering has been highlighted. Machine learning models are effective modeling tools for predicting specific parameters by learning complex relationships based on a specified dataset. In coastal and ocean engineering, various studies have been conducted to predict dependent variables such as wave parameters, tides, storm surges, design parameters, and shoreline fluctuations. Herein, we introduce and describe the application trend of machine learning models in coastal and ocean engineering. Based on the results of various studies, machine learning models are an effective alternative to approaches involving data requirements, time-consuming fluid dynamics, and numerical models. In addition, machine learning can be successfully applied for solving various problems in coastal and ocean engineering. However, to achieve accurate predictions, model development should be conducted in addition to data preprocessing and cost calculation. Furthermore, applicability to various systems and quantifiable evaluations of uncertainty should be considered.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1061-1065
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• 2004

The knowledge-based society of the 21st century requires effective education and learning methods in each professional field because the development of human resource determines its competence more than any other factors. It is highly desirable to develop an intelligent tutoring system, which meets ever increasing demands of education and learning. Such a system should be adaptive to each individual learner's demands as well as the continuously changing state of the learning process, thus enabling the effective education. The development of a learning environment based on learner modeling is necessary in order to be adaptive to individual learning variants. An intelligent learning environment is being developed targeting the heritage education, which is able to provide a customized and refined learning guide by storing the content of interactions between the system and the learner, analyzing the correlations in learning situations, and inferring the learning preference from the learner's learning history. This paper proposes a heritage learning system of Bulguksa temple, integrating the ontology-based learner modeling and the learning preference which considers perception styles, input and processing methods, and understanding process of information.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.2
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• pp.81-94
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• 2018

The purpose of this study is to substantiate the affecting factors of informal learning outcomes for professions in various dimensions of an individual and organization. In specific, the study analyzed the effects of learning motivation, job characteristics, and a supportive learning environment which have on task-related knowledge acquisition, adapting to organization and understanding contexts, relationship formation, and improving self-development-ability. The participants of the study were 261 professionals working at four major accounting firms in South Korea. Multiple regression models were applied step by step for analysis. In this study, the informal learning of professionals working at four major accounting firms is influenced by various factors of learning motivation, job characteristics, and a supportive learning environment. The detailed analysis results were as follows. Firstly, peer-support showed the most positive effect on task-related knowledge acquisition. Secondly, for adapting to organization and understanding contexts, task autonomy showed the greatest effect. Thirdly, peer-support was found to be the most important factor for relationship formation. Fourthly, for improving self-development ability, learning goal orientation showed to be the most important factor. The various factors facilitated the professional learning by empirical identification. The study presented practical implications for creating an effective informal learning support environment.

• Journal of the Korean School Mathematics Society
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• v.2 no.1
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• pp.133-144
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• 1999

This study aims at identifying the effect of problem posing on the academic achievement in high school mathematics. As subjects of the study, two classes of first grade in high school were selected. One of them was treated with problem posing learning, the other was treated with learning-in-a-body. Each has 40 students and was also divided into two groups(high- level and low-level) according to their learning-level. Two instruments were used for this study. One was the teaching-learning method developed by the researcher. The other was TTCT(Torrance Test of Creative Thinking). The 't-test' was used for this study and the significant level of test was within 5 percent. The results of this study are as follows: 1. The group with problem posing learning showed significantly higher academic achievement(learning-ability) than the one with learning-in-a-body. 2. There was no significant difference in the academic achievement(creativity) between the two groups. But there was significant difference in the creative factors. 3. There was no significant differences in the academic achievement between high-level-groups in each group. 4. There was significant difference in the academic achievement (learning-ability) between low-level groups in each group. And there was significant difference in the creative factors. On the basis of the results above, the following conclusions could be made. The problem posing learning method was more effective in the academic achievement in highschool mathematics than learning-in-a-body. Especially low-level group was more effective than high-level group. These facts implies that it is more effective for a teacher to adopt the problem posing learning considering the students' learning-levels.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.5
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• pp.1042-1048
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• 2017

Recently rapid changes in the industrial environment require new talents in companies. Flipped learning is drawing attention as an effective teaching-learning method. The existing traditional lecture teaching-learning method have various problems that the dropout rates of the student is high and the creative problem solving ability is hindered. In the case of the IT engineering college, most of the major theoretical courses require prior learning of the prerequisite coursework subjects. Therefore, effective teaching-learning methods must be developed to improve student participation and academic achievement. This paper proposes the flipped learning model consisting of five sets that combine the flipped learning and practice to improve student motivation and self - directed learning. Also, this paper analyzes the learning effect by applying it to the algorithm lecture of computer engineering and presents problem and utilization plan according to the result.