• Journal of the Korean Society for Library and Information Science
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• v.50 no.3
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• pp.249-265
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• 2016

The objective of this study is to analyze the characteristics of Cutter's Expansive Classification. The four elements about classification evaluation were applied to analyze it. Results show that first, from philosophy and religion class to literature class, the order of main classes is logical and evolutionary. Second, the notation is a pure notation including author mark. Third, the classification is expansive from first classification to seventh classification. Science classes were expanded in the second classification comparing to the first classification. From the third classification, all classes were expanded. Fourth, it was applied by the local list to indicate places emphasizing connection of geographical space.

• Educational Technology International
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• v.7 no.1
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• pp.1-20
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• 2006

This paper describes practical research on the improvement of teaching and learning process by integrating Web Bulletin Board (WBB) and mobile phone. This paper addresses three topics; A) the interactive lecture with topics-based discussions using the Web Bulletin Board (WBB) as a tool for assisting discussion, B) the introduction of peer evaluation among students to develop their problem-solving and cognitive skills, C) the use of mobile phones for promoting interactive lectures, keeping class attendance, conducting assignments, and providing notices for the next class. Results indicated the following research-findings: (1) WBB plays a role in facilitating positive participation in classes. (2) In contrast to the scenario of the traditional mode of instruction (without the usage of WBB), students were able to deepen their understanding of the theme by accessing the WBB before and after classes. (3) Peer evaluation highly promoted students' motivation to learn, and was effective in cultivating meta-cognition through modeling. (4) Mobile phone was identified as a highly effective tool for keeping class attendance, realizing interactive classes by generating discussions, and managing assignments and homework.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.778-804
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• 2017

Software today has become an inseparable part of our life. In order to achieve the ever demanding needs of customers, it has to rapidly evolve and include a number of changes. In this paper, our aim is to study the relationship of object oriented metrics with change proneness attribute of a class. Prediction models based on this study can help us in identifying change prone classes of a software. We can then focus our efforts on these change prone classes during testing to yield a better quality software. Previously, researchers have used statistical methods for predicting change prone classes. But machine learning methods are rarely used for identification of change prone classes. In our study, we evaluate and compare the performances of ten machine learning methods with the statistical method. This evaluation is based on two open source software systems developed in Java language. We also validated the developed prediction models using other software data set in the same domain (3D modelling). The performance of the predicted models was evaluated using receiver operating characteristic analysis. The results indicate that the machine learning methods are at par with the statistical method for prediction of change prone classes. Another analysis showed that the models constructed for a software can also be used to predict change prone nature of classes of another software in the same domain. This study would help developers in performing effective regression testing at low cost and effort. It will also help the developers to design an effective model that results in less change prone classes, hence better maintenance.

• Journal of Korean Home Economics Education Association
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• v.12 no.2
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• pp.65-79
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• 2000

The purpose of this study was to suggest the most effective method of group formation necessary fro the cooperative learning of the home economics in the middle school. For this purpose, 12 classes students in the 3rd grade of a middle school in Inchon City have been divided as 3 groups: 4 classes were consisted of the groups by the records, 4 classes by close friend. and 4 classes by lot. The STAD method of the cooperative learning methods has been evenly introduced to all 12 classes for 10 hours in 10 weeks. After those sessions. some questionnaires asking . and were collected from all students, Data, which were analyzed by the method of group formation for male and female students groups, showed following results: 1. The most effective group forming method was the group consisted by lot. This group was more effective than the group by close or the group by records. 2. While male students were influenced by the group forming method in the cooperative learning. female students were not. 3. More activity of the groups resulted more effects of the cooperative learning and made more positive attitude to the study of the home economics, and thus. teachers should care for the activity of each to make the students cooperative and to activate in the class.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.40 no.10
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• pp.59-66
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• 2003

We propose the novel optical burst switching scheme to guarantee a minimum bandwidth for multiple classes. To date, QoS studies on OBS network are capable of differentiating two classes, but have difficulties in providing a minimum bandwidth lot several classes because of lower classes' collision with the highest class bursts in the networks. To solve that problem, in our proposed scheme we assign time zones in a data channel for each class periodically, making one burst have top priority at least its zone. Also, the new burst assembling algorithm, as well as the way of managing data channel, is necessarily proposed to coordinate with the proposed OBS scheme. Through the evaluation, we show that the worst-case end-to-end delay is small enough and the received bandwidth of the lower classes is still assured regardless of the traffic load of the highest class.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.150-150
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• 2019

The development of prolong and severe drought can directly impact on the environment, agriculture, economics and society of country. A lot of efforts have been made across worldwide in the planning, monitoring and mitigation of drought. Currently, different drought indices such as the Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) are developed and most commonly used to monitor drought characteristics quantitatively. However, it will be very meaningful and essential to develop a more effective technique for assessment and monitoring of onset and end of drought. Therefore, in this study, the hidden Markov Bayesian classifier (MBC) was employed for the assessment of onset and end of meteorological drought classes. The results showed that the probabilities of different classes based on the MBC were quite suitable and can be employed to estimate onset and end of each class for meteorological droughts. The classification results of MBC were compared with SPI and with past studies which proved that the MBC was able to account accuracy in determining the accurate drought classes. For more performance evaluation of classification results confusion matrix was used to find accuracy and precision in predicting the classes and their results are also appropriate. The overall results indicate that the MBC was effective in predicating the onset and end of drought events and can utilized for monitoring and management of short-term drought risk.

• Journal of Engineering Education Research
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• v.25 no.5
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• pp.94-103
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• 2022

In this study, we examined the cases of online video classes conducted under the COVID-19 situation for 46 first-year students majoring in electrical engineering at a 3-year college in Gyeongnam. The research was carried out according to the course development process so that classes could be conducted efficiently, focusing on electromagnetism(1) course in the second semester of the first year. The online class consisted of uploading PPT recorded videos and lecture materials to the LMS and giving assignments. The contents of the study were in the scope of examining learners' perceptions through online learning contents, assignment submission, mutual feedback between instructors and learners, university-level lecture evaluation, and free opinions on online video-based electromagnetism(1) classes. As a result of the study, it was confirmed that online lecture review and problem-solving are particularly important for understanding lecture materials, and also given the nature of engineering subjects that require plenty of mathematical expressions, the detailed and immediate feedback provided by instructor enhances learners' class satisfaction and understanding. Based on these, the direction of online classes to be developed after the COVID-19 pandemic and teaching and learning methods suitable for the characteristics of subjects were discussed.

• 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 Korean Library and Information Science Society
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• v.53 no.3
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• pp.455-477
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• 2022

This study aimed to compare and analyze librarian teacher evaluation index from evaluation of teachers' competency development with the the topics of information utilization education. To this end, LDA topic modeling was conducted by collecting papers related to information utilization education published in four major journals in the field of literature and information from 1995 to May 2022. As a result of topic modeling, it can be seen that information utilization education (T10) was the most actively discussed at 12.0% of the 20 topics, followed by library utilization classes (T2) 10.4% and user service (T3) 8.8%.On the other hand, 3.3% of reading discussion (T7), 2.9% of reading education (T19), 2.1% of manpower management (T13), and 2.1% of librarian teacher job satisfaction (T17) showed the lowest distributions 3.3%, 2.9%, 2.1%, and 2.1%, respectively. In addition, although librarian teacher's class model development (T1) and curriculum development (T20) are essential processes for collaborative classes and information utilization education, they were not reflected in the current teacher competency development evaluation index. Therefore, this study proposed that 'instructional model and curriculum development' indicator should be added on 'training and support classes' factors in the Librarian Teacher Evaluation Index in Teachers' Competency Development Evaluation for further evaluation.

• Journal of the Korean School Mathematics Society
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• v.13 no.3
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• pp.357-379
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• 2010

There are many studies about the method of trying leveled class because we say the Excellence of Education after high school's Equalization Policy. After the leveled c1ass, Ministry of Education, Science and Tech. announced the induction of leveled classes' evaluation in 2008, it is called that students take classes adapted to their levels. This study illustrates criteria of forming evaluation, it composes leveled assessment tests referenced by Gibb's evaluation effects & Cotton's evaluation principles. Before anything else, this study induced contents of studies which is emphasized the structure rather than the arithmetic that is based on Foucault' s analysis of mathematics' class and examination & MacGregor's point of algebra. Since then we made leveled assessment tests which made by students' Question. And then, In this study, we modified evaluation tests appropriately by criteria of evaluation and analysing the result.