• Journal of The Korean Association For Science Education
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• 제30권6호
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• pp.836-849
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• 2010

The purpose of this study is to analyze changes of competency observed in teaching of pre-service science teachers through the teaching evaluation and reflective journal writings on science class during the period of student-teaching at high school. To do this, we videotaped all the science classes of six pre-service teachers participating in this study, evaluated their class teachings, and collected moving video clips recorded in their classes, reflective journals, interviews, instructional materials, and teaching evaluation they have provided. From the "Standards for teaching evaluation of science instruction" developed by Korea Education Curriculum and Assessment, sixteen evaluation elements were selected and used for the analysis. According to our results, all preservice teachers show improvement of teaching performance in most of the class evaluation elements as the number of science classes increases. They presented the lowest improvement in the 'to design meaningful learning program,' which was one of the sixteen elements. However, there are substantial individual differences in the pre-service teachers' teaching competence on each evaluation element. Although they thought that 'understanding of scientific concepts' is the most important part of a science class in the beginning of student-teaching training, they showed changes in recognition that 'interaction and respect' and 'managing student behaviors' are also important in the end. They have recognized that writing a reflective journal, based on the video clips recorded in class and teaching evaluation, helps improve their teaching competency. In addition, improvement in teaching competency has influence upon career-orientation towards the school teacher in the future.

• Journal of the Korean Society for Library and Information Science
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• 제15권
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• pp.119-140
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• 1988

This paper is the study on the Medium Designator in Non-book materials. Main contents of this study were as follows; 1. The medium designator serves to indicate the class of material to which an item belongs. This is used to give an 'early warning' ;to the catalogue user. 2. This medium designator may be further divided into two elements ; a general material designation (GMD), for example video-recording, and a specific material designation (SMD), for example, videodisc. 3. GMD: In cataloging, a term indicating the broad class of material to which a bibliographic item belongs, such as 'motion picture', and SMD : In descriptive cataloging, a term indicating the special class of material (usually the class of physical object) to which a biblographic item belongs, such as videocassette. 4. Locating the medium designator after the title proper was not prescribed until ISBD(G) and AACR2. In pre-ISBD(G) codes, the ,early, warning type of medium designator was placed after all title information. But in AACR2, the medium designator is placed after the title proper, but before parellel title and other title information. 5. In Terminology, Two separate lists of designations are given in AACR2, l.1C1, one for British and one for North American use. The British list contains fewer terms, and uses generic categories to group together some of the North American list. 6. The problem of where to place the medium designator might be circumvented by using some kind of early alerting device other than a formal element of biblliographic description. Various alternatives have been suggested. A more popular device is the provision of symbols or 'media code' which are part of the call number and indicate the porticular medium type. 'Colour-coding' the use of used by some libraries but is now longly discouraged. 7. According to Frost. The medium designatorhas been generally reeognized as serving three functions; 1) as a statement of the nature or basic format of the item cataloged and thus as a meant of informing the user as to the type of material at hand; 2) as a description of the physical charaetistics of medium and as a means of alerting the user to equipment needed to make use of the item. 3) as a device to distinguish different physical formats which share the same title. 8. AACR2 raises some problems which decision makers have neet had to face preriously It provides a GMD for every item in the collection including books and it makes the application of any or all GMD's optional.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제42권3호
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• pp.554-561
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• 2017

IoT (Internet of Things) devices are often located in environments where indoor or underground, signals are difficult to reach. In addition, the transmission power is low, the base station should be designed to be able to receive signals even at low reception sensitivity. For this reason, a device having a poor channel condition can be transmitted at a low data rate using a low coding rate or repetition. When the coverage class is divided according to the channel condition and the data rate, the packet length may vary from one coverage class to another, and the performance of the slotted aloha random access may be degraded. We will focus on two methods of using shared-resource and seperate resources among multiple slotted aloha methods. In particular, when devices with different coverage classes use shared resources, performance of a device with a bad channel condition may deteriorate. Conversely, when using separate resources for each coverage class, there is a problem that congestion may occur which increases the number of devices that perform random access to one resource area. In this paper, we propose some methods to overcome this problem. This study is mainly focused on MTC devices, and is considered to be a high possibility of future development.

• Journal of The Korean Association For Science Education
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• 제21권3호
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• pp.529-536
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• 2001

The purpose of the research is to investigate the effects of a portfolio system on students' socio-psychological classroom environments in elementary science class. Two schools were selected from a metropolitan area, a city, and one school from a rural area in central Korea. Two fifth-grade classes were sampled from each school selected, and one class is assigned to experimental group and the other to control group, respectively. The total number of participants of the study is 399. Portfolio system was administered to experimental group, and conventional teaching to control group for two and half month. WIHIC, an inventory to measure socio-psychological classroom environment, was administered as a pre- and post-test. Experimental group gained statistically higher scores on WIHIC after administering portfolio system. They showed more positive perceptions on sub-areas of WIHIC such as teacher support, task orientation, and equity. There is interaction between region and group: the effects of the portfolio system is highest in rural area, lowest in metropolitan area, and the city in between. Portfolio system have positive effects on students' socio-psychological classroom environments. Enhanced socio-psychological classroom environments is expected to contribute to positive self-concept, higher science achievements, and self-directed learning.

• The Bulletin of The Korean Astronomical Society
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• 제42권2호
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• pp.61.1-61.1
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• 2017

As the application of deep-learning methods has been succeeded in various fields, they have a high potential to be applied to space weather forecasting. Convolutional neural network, one of deep learning methods, is specialized in image recognition. In this study, we apply the AlexNet architecture, which is a winner of Imagenet Large Scale Virtual Recognition Challenge (ILSVRC) 2012, to the forecast of daily solar flare occurrence using the MatConvNet software of MATLAB. Our input images are SOHO/MDI, EIT $195{\AA}$, and $304{\AA}$ from January 1996 to December 2010, and output ones are yes or no of flare occurrence. We consider other input images which consist of last two images and their difference image. We select training dataset from Jan 1996 to Dec 2000 and from Jan 2003 to Dec 2008. Testing dataset is chosen from Jan 2001 to Dec 2002 and from Jan 2009 to Dec 2010 in order to consider the solar cycle effect. In training dataset, we randomly select one fifth of training data for validation dataset to avoid the over-fitting problem. Our model successfully forecasts the flare occurrence with about 0.90 probability of detection (POD) for common flares (C-, M-, and X-class). While POD of major flares (M- and X-class) forecasting is 0.96, false alarm rate (FAR) also scores relatively high(0.60). We also present several statistical parameters such as critical success index (CSI) and true skill statistics (TSS). All statistical parameters do not strongly depend on the number of input data sets. Our model can immediately be applied to automatic forecasting service when image data are available.

• Communications of Mathematical Education
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• 제23권4호
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• pp.1043-1058
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• 2009

This study concerns with the effects of group projects performed by the students in college math classes. The study result shows that 61% of the students get more self-confidence and interest in mathematics through working projects. In addition, the result reveals that one of the essential factors for successful college mathematics class is to provide a strong motivation for learning to students. For effective teaching through group projects, this paper suggests that 1) the number of students in the class be 20 or less, 2) the projects group be consisted of two members, 3) the instructor should select proper problems to students' level from extra-textbooks, 4) the problems should be interesting, positive and challenging, 5) each group should take only one problem, 6) the groups be provided with enough references and materials, 7) each student in the group be cared to feel importance and necessity of mathematics and cooperative work, 8) the students should work with math joyfully, 9) the instructor remind the students that we live with mathematics in real life, 10) 2-month be a necessary and appropriate term in working projects.

• Journal of Practical Engineering Education
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• 제14권2호
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• pp.333-339
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• 2022

In this study, we study the effects of note-taking skills on students' academic performance, satisfaction, and concentration, and immersiveness when students are taking online classes. The Cornell note format was used for the note-taking skills. The survey result shows that note-taking skills in online class increase students' diligence, participation, and concentration. We find a strong positive correlation between the number of Cornell note submission and academic performance, and we show that the association between two is a statistically significant by using simple/multiple regression analysis. The multiple regression result shows that one unit increase in the Cornell note submission is associated with the increase in 0.253 midterm score on average. In addition, one unit increase in the Cornell note submission is associated with increase in 0.287 final exam score on average. Further, we conduct bootstrapping regression as a robustness test and show that the results are consistent with the simple/multiple regression results. These analyses show that Cornell note taking skills in online classes can be beneficial for students to improve the quality of their learning.

• The Journal of Information Systems
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• 제29권3호
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• pp.145-157
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• 2020

Purpose This study proposed an approach for predicting the efficiency rating of the cultural tourism festivals using DEA and machine learning techniques. The cultural tourism festivals are selected for the best festivals through peer reviews by tourism experts. However, only 10% of the festivals which are held in a year could be evaluated in the view of effectiveness without considering the efficiency of festivals. Design/methodology/approach Efficiency scores were derived from the results of DEA for the prediction of efficiency ratings. This study utilized BCC models to reflect the size effect of festivals and classified the festivals into four ratings according the efficiency scores. Multi-classification method were considered to build the prediction of four ratings for the festivals in this study. We utilized neural networks and SVMs with OAO(one-against-one), OAR(one-against-rest), C&S(crammer & singer) with Korea festival data from 2013 to 2018. Findings The number of total visitors in low efficient rating of DEA is more larger than the number of total visitors in high efficient ratings although the total expenditure of visitors is the highest in the most efficient rating when we analyzed the results of DEA for the characteristics of four ratings. SVM with OAO model showed the most superior performance in accuracy as SVM with OAR model was not trained well because of the imbalanced distribution between efficient rating and the other ratings. Our approach could predict the efficiency of festivals which were not included in the review process of culture tourism festivals without rebuilding DEA models each time. This enables us to manage the festivals efficiently with the proposed machine learning models.

• Sijohaknonchong
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• 제22집
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• pp.5-25
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• 2005

The purpose of this study is to show Da-seuck(다석) and his Sip those were never introduced to the academic world of Korean literature yet. Daseuck who kept company with Yook-dang(육당) and Chun-won(춘원) was a great philosopher of religion. He had ranged over world wide philosophy and founded his own angle of view to God. He had written diary in which many Sijo Poems more than 2,200 were written for 20 years from 1955 to 1974. The special features of his Sijo and the historical meanings are: First, Daseuck had written the most numerous Sijo Poems in number. Second, one of the special features of his Sijo is that most of his Sijo Poems contains his own ideas of God that is caused by his religious belief and his angle of view to Sijo. Third, his poetic words are too difficult to understand because he had used Korean old language that he understand them peculiarly.

• Journal of the Korean Society for Library and Information Science
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• 제57권1호
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• pp.45-68
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• 2023

The purpose of this study is to longitudinally analyze impact factors on library use. One of library use indicators, the number of circulated books was statistically analyzed with latent growth model and growth mixture model. Library data from 2014 to 2019 were collected from the National Library Statistics System, and 846 public libraries were analyzed. As results, the number of circulated books were decreased, but it was tempered. Next, with controlling the factor affecting the dependent variable, the size of collection and the number of participants in reading programs provided by public libraries were statistically significant. Lastly, 5 classes were identified by applying the growth mixture model, and the number of librarians was significantly associated with trajectory class membership.