• Journal of Digital Convergence
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• v.18 no.5
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• pp.1-8
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• 2020

This study analyzed the different needs between the after-school programs of elementary schools in metropolitan and non-metropolitan areas to understand the areas that need addressing to meet with the requisites of the programs. To this end, this study conducted a survey among teachers with experience in after-school management (n=233), and the needs and performance recognized by teachers were analyzed in the IPA model matrix. To sum up the results, 'Online educational infrastructure', 'Efficient administrative operation', and 'Supply of professional after-school instructors' were identified as the prior needs in metropolitan area. On the other hand, non-metropolitan area, 'Supply of professional after-school instructors', 'Quality educational contents', and 'Online educational infrastructure' were identified as the prior requisites to be addressed. Based on research findings, the study suggested implications in developing and implementing related policies. Research findings will be expected to refer as baseline data for activating after-school online program operations and improving its programs to meet with the different needs of regions.

• Journal of KIISE:Software and Applications
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• v.34 no.10
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• pp.889-899
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• 2007

In proteomics, recent advancements In mass spectrometry technology and in protein extraction and separation technology made high-throughput analysis possible. This leads to thousands to hundreds of thousands of MS/MS spectra per single LC-MS/MS experiment. Such a large amount of data creates significant computational challenges and therefore effective data analysis methods that make efficient use of computational resources and, at the same time, provide more peptide identifications are in great need. Here, SIFTER system is designed to avoid inefficient processing of shotgun proteomic data. SIFTER provides software tools that can improve throughput of mass spectrometry-based peptide identification by filtering out poor-quality tandem mass spectra and estimating a Peptide charge state prior to applying analysis algorithms. SIFTER tools characterize and assess spectral features and thus significantly reduce the computation time and false positive rates by localizing spectra that lead to wrong identification prior to full-blown analysis. SIFTER enables fast and in-depth interpretation of tandem mass spectra.

• Journal of Gifted/Talented Education
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• v.7 no.1
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• pp.31-50
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• 1997

'I'his study investigated students' attitude toward mathematics. and how behavior/cognitive training affects level of math anxietv and level of math achievement. Subjects were all the freshmen attending Taejon Science High School, and they were given Mathematics Attitudes Scale and Attributional Style Questionnaire prior to and post training sessions. Twenty out of 84 freshmen voluntarily participated in nine sessions of training program. Participants were asked to do self-evaluation. Math achievement was measured prior to and post training. and was compared between two groups. Training program utilized behavior/cognitive approach. such as understanding one's feeling through muscle relaxation, breathing and meditation; modifying negative attributional style; imitating effective cognitive strategies for math problem solving, and so on. 'I'he result shows that students' math confidence in general was relatively low out of expectation, a nd they perceived teachers not supporting their math abilities :IS much as expected. On the other hand, students in general had strong math achievelment needs, and considered math utility very high. Sex difference was seen in the attitude toward female math abilities, to result that female students had more positive perception than male students. Female students of 'I'aejon Science High School seem free from conventional idea about female abilities including theirs. Participants' ~attitude change was compared with non-participants. and participants showed statistically significant change in their math confidence, and also in their math achievement. Participants had much higher math confidence and ~achievement than non-participants. And, they showed increased level of perceiving teachers' expectation. more realistic in needs, and more involvement in math. Math achievement was found positively related to math confidence, and participants' math achievement change was explained by their belief in math utility. Not only training program effect hut also participants' voluntary involvement and teacher\ulcorner' support of the program and participation seem to increase their math achievement. Based upon the result of study it was suggested that behavior-/cognitive training program be provided along with academic curricula for gifted students of Korea to help their emotional and psychological development enhance the efficacy of their cognitive learning.

• Journal of Creative Information Culture
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• v.5 no.2
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• pp.135-143
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• 2019

In this study, the perceptions on SW education of K-12 students and teachers were surveyed and analyzed. At the primary school level, there was no significant difference in SW attitude based on school location. However, at the secondary level, students from metropolitan areas showed significantly higher SW attitude scores. In the case of gender, male students showed higher SW attitude scores both in primary and secondary schools. With regard to attitude differences based on prior experience of SW education, students with prior experience showed higher attitude scores in SW education in both primary and secondary schools. The awareness survey among teachers showed that both primary and secondary school teachers showed positive responses to SW education. For the successful induction of the SW education at K-12, four factors (participants, curriculum, teaching-learning method, and support from inside and outside of school) were highlighted.

• Journal of the Korean Society of Earth Science Education
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• v.17 no.1
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• pp.1-19
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• 2024

This study is a design and development study that developed instructional strategies based on distributed cognitive theory for science classes using technology according to procedures that ensured reliability and validity. To develop instructional strategies, development study and validation study were conducted according to design and development research methodology procedures. In the development study, an initial instructional strategy was developed through prior literature review and prior expert review. In the validation study, the instructional strategy was validated using internal validation (expert validation, usability evaluation) and external validation (field application evaluation) methods, and the final instructional strategy was developed. The final instructional strategy consisted of 3 instructional principles, 9 instructional strategies, and 38 detailed guidelines. Through this study, the researcher suggested the suitability of instructional strategies for science classes using technology, the usefulness of blocks and teaching and learning processes, the possibility of using technology as a cognitive tool, the need for teachers' efforts to cultivate teaching capabilities using technology, and the needs lesson plan that takes into account conditions affecting the application of instructional strategies.

• Science of Emotion and Sensibility
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• v.12 no.3
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• pp.279-288
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• 2009

The purpose of this study was to verify the impact of cognitive factors and GSR on the task performance. For this study 64 students participated. Multiple regression and repeated measures were applied to analyze the data. The result for the survey indicated that previous knowledge, physical efforts, and task difficulty had significant impacts on task performance. Particularly, task difficulty has a negative impact. This can be interpreted as someone who has high prior knowledge inputs higher physical efforts with low task difficulty perception will show high performance. On the other hand, the low arousal level of GSR in the evaluation stage is a prediction variable of task performance. This result shows that high prior knowledge and low arousal level of GSR produces high performance. However, the analysis of difference in GSR between learning and evaluation stages does not show significant difference. It suggests that physiological measure such as GSR is reliable index of cognitive load; however, it partially represents cognitive load. Other crucial factors should be added for comprehensive measures.

• Journal of Korean Home Economics Education Association
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• v.35 no.1
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• pp.125-138
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• 2023

This study was an exploratory study to identify the discomfort of using multicultural terms. The contents of the study included exploration of prior research, analysis of news articles, and in-depth interview with field experts. The results of the study are summarized as follows. First, five multicultural terms such as 'multiculturalism', 'multicultural society', 'multicultural education', '다문화가족' and '다문화가정' were extracted from exploration of prior research. Second, as a result of news analysis, 'multiculturalism' mainly appeared in the early 2000s and has been rapidly decreasing since 2006, and 'multicultural society' and 'multicultural education' have been steadily written. In contrast, '다문화가족' and '다문화가정', which first appeared in 2003 and 2004, have exceeded 80% of multicultural news articles since 2009. Third, regarding multicultural terms, the study participants were well aware of '다문화가족' and '다문화가정', and little knew of 'multiculturalism'. In an interview conducted before learning multicultural terms, '다문화가족' and '다문화가정' were recognized as familiar but uncomfortable and distinguishing terms. And 'multiculturalism', 'multicultural society', and 'multicultural education' were recognized as abstract and unfamiliar terms. In an interview conducted after learning about multicultural terms, the study participants expressed confusion about the mixed use of multicultural terms with different meanings and recognized the need for clarification.

• Korea Trade Review
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• v.41 no.2
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• pp.61-96
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• 2016

This study investigates the effects of M&A experience of Chinese firms and characteristics of deal partners in cross border M&A deal failures. 1,610 firms that participated in 1,558 cross border M&As from 2000 to November 2015 are used as samples. The dependent variable is the M&A transaction failures, which were cases of deal pending or withdrawal of Chinese firms. Major independent variables are the nationality diversity of transaction partner firm, the partner firm belonging to a developed country, domestic M&A experience of the Chinese firms, M&A experience in a particular target country, etc. After conducting a probit model analysis, we find that deal partner firm's nationality diversity increases the failure rate of M&A. While prior domestic M&A experience in China has no influence on deal failure, prior M&A experience of Chinese and focal firms in a particular country have a negative effect on the probability of deal failure. This study has academic implication on figuring out why firms are likely to fail in the process of strategic activities based on the inter-organizational learning through partnerships perspective.

• Journal of the Korea Computer Graphics Society
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• v.22 no.3
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• pp.21-29
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• 2016

Cell segmentation is an important but time-consuming and laborious task in biological image analysis. An automated, robust, and fast method is required to overcome such burdensome processes. These needs are, however, challenging due to various cell shapes, intensity, and incomplete boundaries. A precise cell segmentation will allow to making a pathological diagnosis of tissue samples. A vast body of literature exists on cell segmentation in microscopy images [1]. The majority of existing work is based on input images and predefined feature models only - for example, using a deformable model to extract edge boundaries in the image. Only a handful of recent methods employ data-driven approaches, such as supervised learning. In this paper, we propose a novel data-driven cell segmentation algorithm for bright-field microscopy images. The proposed method minimizes an energy formula defined by two dictionaries - one is for input images and the other is for their manual segmentation results - and a common sparse code, which aims to find the pixel-level classification by deploying the learned dictionaries on new images. In contrast to deformable models, we do not need to know a prior knowledge of objects. We also employed convolutional sparse coding and Alternating Direction of Multiplier Method (ADMM) for fast dictionary learning and energy minimization. Unlike an existing method [1], our method trains both dictionaries concurrently, and is implemented using the GPU device for faster performance.

• Journal of the Korean Chemical Society
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• v.51 no.2
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• pp.193-200
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• 2007

This study investigated the effects of situational context feedback in CAI upon students' conceptual understanding, science learning motivation, and the perception of CAI. Seventh graders (N = 114) from a coed middle school in Incheon were assigned to the situational context feedback CAI (SCF-CAI), the feedback CAI (F-CAI) and the CAI groups, and were taught about ‘three states of matter' and ‘motion of molecules' for 8 class hours. Prior science achievement test score used as a blocking variable. Two-way ANCOVA results revealed that the conceptual understanding test scores of the SCF-CAI group were significantly higher than those of the other groups. For the higher achievers, the scores of the F-CAI group in science learning motivation test were significantly higher than those of the CAI group. However, there was no significant difference among the lower achievers of three groups. The higher achievers in the SCFCAI and the F-CAI groups perceived the CAI more positively than those of the CAI group. The lower achievers in the FCAI group perceived the CAI more negatively than those of the other groups. Educational implications are discussed.