• Journal of The Korean Association of Information Education
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• v.14 no.4
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• pp.537-545
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• 2010

The purpose of this paper is to develop mathematics learning contents for elementary school 3rd graders and to verify the educational effectiveness of contents developed. An ADDIE model was applied to develop mathematics learning contents based on storytelling for concept learning. After extracting 54 concepts from the mathematics curriculum, researchers designed strategies using concepts that were combined with context which is familiar to young students. Researchers implemented a survey and interview to students and teachers to verify the effectiveness of contents. As a result, the understanding, interest, concentration, and expectation of students toward the contents developed were very high, and teachers also mentioned that these contents could be very useful teaching materials for motivation.

• Journal of Digital Contents Society
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• v.17 no.4
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• pp.265-272
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• 2016

Recently Chinese education market and social interest has been extended. Accordingly, smart learning based on smartphone applications became part of new educational paradigm. Also, there are more active research and development of applications for the Chinese language education. In this paper, we designed and implemented the smartphone functional application prototype for learning basic Chinese characters. Expression of Chinese characters, the comparison, listening in pronunciation, voice recording and listening, related content learning, and implement testing presented using casual user interface. In the future study, we will develop the prototype with user interface for learning Chinese conversation and individual index of evaluation can be effective learning Instrument without additional tools.

• Korean Journal of Human Ecology
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• v.24 no.6
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• pp.741-753
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• 2015

The purpose of this study was to investigate whether elementary children's time-use and self-regulated learning ability was different according to gender and whether children's gender and time-use effects self-regulated learning ability. Participants were 2,122 children who participated in KCYPS longitudinal study from their first grade to third grade. Time-use was reported by children's parents. Children's self-regulated learning is invented by Yang(2000). Components of self-regulated learning scale was achievement value, mastery goal orientation, action control, academic time management. The major findings were as follows. First, children's self-regulated learning was different according to chidren's gender. Girls' achievement value, mastery goal orientation, academic time management scores were higher than the boys'. Second, children's daily time was different according to their gender. Third, children's daily time-use affected their self-regulated leaning, however children's gender didn't.

• Journal of Engineering Education Research
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• v.18 no.1
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• pp.54-60
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• 2015

The purposes of the study are to investigate the effects on academic of the self-directed learning and in-depth interviewing program in engineering underachieved students. 17 students participated in program and the grade points average(GPA) of participants are less than 2.5. First, we focus on the change of academic achievement after the self-directed learning and in-depth interviewing program. According to results, it is very effective not only in improving academic achievement of the participation subject but also in increasing GPA. Second, the pre-survey and the post-survey were conducted to the participants. We found some facts from the difference between the pre and post surveys. The expectation and satisfaction about learning have improved after self-directed learning, and the participants' recognition showed the meaningful change in important factors about learning.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37A no.9
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• pp.780-785
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• 2012

In the current study, the authors propose a method for extracting license plate regions by means of a neural network trained to output the plates center of gravity. The method is shown to be effective. Since the learning pattern presentation positions are defined by random numbers, a different pattern is submitted to the neural network for learning each time, which enables it to form a neural network with high universality of coverage. The article discusses issues of the optimal learning surface for a license plate covered by the learning pattern, the effect of suppression learning of the number and headlight sections, as well as the effect of learning pattern enlargement/reduction and of concentration value conversion. Results of evaluation tests based on pictures of 595 vehicles taken at an underground parking garage demonstrated detection rates of 98.5%.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.4
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• pp.212-222
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• 2014

In the current study, the authors propose a method for extracting license plate regions by means of a neural network trained to output the plate's center of gravity. The method is shown to be effective. Since the learning pattern presentation positions are defined by random numbers, a different pattern is submitted to the neural network for learning each time, which enables it to form a neural network with high universality of coverage. The article discusses issues of the optimal learning surface for a license plate covered by the learning pattern, the effect of suppression learning of the number and pattern enlargement/reduction and of concentration value conversion. Results of evaluation tests based on pictures of 595 vehicles taken at an under-ground parking garage demonstrated detection rates of 98.5%, 98.7%, and 100%, respectively.

• Journal of Engineering Education Research
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• v.14 no.5
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• pp.3-9
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• 2011

This study analyzes results of current Basic Design Engineering teaching and learning methods and makes suggestions based on its findings. To reach these conclusions, participants were 112 second-year students in Basic Design Engineering courses. In the results of t-test, there were significant statistics in learners' satisfaction, achievement of course outcomes and grades. Also the average of factors of the problem based learning strategy is higher than those of the project based strategy. Based on this study's findings, recommendations for effective teaching and learning strategies are made for Basic Design Engineering courses.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.3
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• pp.105-109
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• 2008

In the current study, the authors propose a method for extracting license plate regions by means of a neural network trained to output the plate.s center of gravity. The method is shown to be effective. Since the learning pattern presentation positions are defined by random numbers, a different pattern is submitted to the neural network for learning each time, which enables it to form a neural network with high universality of coverage. The article discusses issues of the optimal learning surface for a license plate covered by the learning pattern, the effect of suppression learning of the number and headlight sections, as well as the effect of learning pattern enlargement/reduction and of concentration value conversion. Results of evaluation tests based on pictures of 595 vehicles taken at an underground parking garage demonstrated detection rates of 98.5%.

• Journal of the Korean Society for Library and Information Science
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• v.34 no.3
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• pp.37-60
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• 2000

Recent developments and integration of IT are expanding the possibility of various instructional learning methods in education environments. Contemporary learning theory such as open education, self-directed learning, student's centered learning describes the students as an active and engaged information user and underscores the importance of information literacy. Therefore, school library today focus on the process of learning-teaching process rather than dissemination information, and emphasized the focus of the school electronic library as information center. The purpose of this study is examined physical components of School Electronic Library, design a model of information system and suggests a strategy for implementing teaching-learning process support services based on school electronic library and information system.

• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.319-330
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• 2019

Forecasting the electricity consumption through analyzing the past electricity consumption a advantageous for energy planing and policy. Machine learning is widely used as a method to predict electricity consumption. Among them, ensemble learning is a method to avoid the overfitting of models and reduce variance to improve prediction accuracy. However, ensemble learning applied to daily data shows the disadvantages of predicting a center value without showing a peak due to the characteristics of ensemble learning. In this study, we overcome the shortcomings of ensemble learning by considering the temperature trend. We compare nine models and propose a model using random forest with the linear trend of temperature.