• Korean Journal of Child Studies
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• v.21 no.2
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• pp.33-44
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• 2000

In this study, a random sample of 111 six-year-old children were assigned to one of 3 experimental conditions: categorization training using cognitive apprenticeship, categorization training using metacognitive procedures, and no categorization training. Level of intelligence was measured by Raven's(1986) Coloured Progressive Matrics(CPM). No difference was found between apprenticeship and metacognitive training in the high CPM children. In the middle and low CPM levels, cognitive apprenticeship training was more efficient than metacognitive training. This indicates that cognitive apprenticeship, which emphasizes the thinkaloud procedure of both the experts and the novice though modeling and coaching for self-implementation, is a more effective approach than the metacognitive approach for categorization in middle and low CPM children.

• The Journal of Information Systems
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• v.30 no.4
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• pp.153-171
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• 2021

Purpose This study is to phenomenologically discover key antecedents and outcomes of behavioral process of SNS users who have multiple SNS sub-accounts. Unlike previous studies that focused on user behavior in the context of a specific SNS platform, this study attempts to describe how and why individual manages their multiple sub-accounts across a variety of SNS platforms. Design/methodology/approach By applying the grounded theory methodology (GTM) to elucidate the unique behavior in SNS platforms, this study has conducted in-depth interview with 14 respondents who handle multiple accounts across the SNS platforms. As a results of analyzing the interview manuscripts, this study has extracted 47 concepts, 10 sub-categories and 6 main categories by conducting open coding, axis coding, and selective coding. Findings By analyzing interview data, this study has derived main categories such as account management, impression management, self-categorization, authority to determine the relationship, digital shadow work, and portfolio SNS accounts from qualitative interview data. This study has also conducted a process analysis that represents how main categories could be inter-related. Based on findings, this study provides a new phenomenological perspective to understand the behavioral process of SNS users' sub-account usage experience.

• The KIPS Transactions:PartB
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• v.12B no.7 s.103
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• pp.811-822
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• 2005

Automated text categorization is to classify free text documents into predefined categories automatically and whose main goals is to reduce considerable manual process required to the task. The researches to improving the text categorization performance(efficiency) in recent years, focused on enhancing existing classification models and algorithms itself, but, whose range had been limited by feature based statistical methodology. In this paper, we propose RTPost system of different style from i.ny traditional method, which takes fault tolerant system approach and data mining strategy. The 2 important parts of RTPost system are reinforcement training and post-processing part. First, the main point of training method deals with the problem of defining category to be classified before selecting training sample documents. And post-processing method deals with the problem of assigning category, not performance of classification algorithms. In experiments, we applied our system to documents getting low classification accuracy which were laid on a decision boundary nearby. Through the experiments, we shows that our system has high accuracy and stability in actual conditions. It wholly did not depend on some variables which are important influence to classification power such as number of training documents, selection problem and performance of classification algorithms. In addition, we can expect self learning effect which decrease the training cost and increase the training power with employing active learning advantage.

• The Mathematical Education
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• v.55 no.4
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• pp.523-538
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• 2016

The purpose of this study is to explore the secondary mathematics teachers' technology integration self-efficacy with respect to geometry classes which they had experienced during last 1 year, 2015. For this study, we developed and validated the questionnaires based on TPACK framework in secondary geometry context. The questionnaires contained 28 items examining the secondary mathematics teachers' TPACK. We conducted the item analysis with 28 items and then the exploring factor analysis. As a result, 28 items was categorized into 5 constructs, TPCK, TCK, TK, PCK, PK, different from Mishra and Koehler's categorization. We analyzed the secondary mathematics teachers' technology integration self-efficacy with respect to geometry classes based on 5 TPACK constructs. The results indicated that there were no significant differences in technology integration self-efficacy according to gender. But technology integration self-efficacy according to the years of teaching experience differed significantly. The more years of teaching experiences teachers have, the lower level of TPCK and TK they have and the more years of teaching experiences teachers have, the higher level of PCK they have. The results also showed that there ware significant difference in TPCK according to the existence and non-existence of taking the technology courses during the time at university. Furthermore, we provide the implication for the professional preparation program for the mathematics teachers in middle schools.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.10
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• pp.2028-2042
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• 1994

Properly defining signal and noise in a self-organizing system like ART(Adaptive Resonance Theory) neural network model raises a number of subtle issues. Pattern context must enter the definition so that input features, treated as irrelevant noise when they are embedded in a given input pattern, may be treated as informative signals when they are embedded in a different input pattern. The ATR automatically self-scales their computational units to embody context and learning dependent definitions of a signal and noise and there is no problem in categorizing input pattern that have features similar in nature. However, when we have imput patterns that have features that are different in size and nature, the use of only one vigilance parameter is not enough to differentiate a signal from noise for a good categorization. For example, if the value fo vigilance parameter is large, then noise may be processed as an informative signal and unnecessary categories are generated: and if the value of vigilance parameter is small, an informative signal may be ignored and treated as noise. Hence it is no easy to achieve a good pattern categorization. To overcome such problems, a Coupled-ART neural network capable of modularized categorization of patterns is proposed. The Coupled-ART has two layer of tightly coupled modules. the upper and the lower. The lower layer processes the global features of a pattern and the structural features, separately in parallel. The upper layer combines the categorized outputs from the lower layer and categorizes the combined output, Hence, due to the modularized categorization of patterns, the Coupled-ART classifies patterns more efficiently than the ART1 model.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.2
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• pp.510-525
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• 2013

The purpose of this study is to investigate adult learners' experience by studying Humanities & General Education and get to know types and characteristics by classifying their learning experiences. This study uses grounded theory method which is suitable to investigate subjective experiences. In this study, data is collected from 13 adult learners by using Focus Group Interview(FGI) who participate in learning experience of Humanities & General Education of D university in Busan region. The data is categorized by open coding, axial coding and selective coding based on data analysis method of grounded theory and analysis processes. This study provides several outcomes as follows: 113 concepts, 38 subcategories and 16 upper categories are derived through the process of abbreviation and categorization of learning experience of Humanities & General Education. In a process of learning experience, this study shows interrelationship in a frame of paradigm and derives results of a process of abbreviation and categorization casual condition, contextual condition, phenomenon and interaction(help/obstruction factor). Tree types of learning experiences and characteristics are drawn as follows: 1) "Self-realization" is the type who participate in Humanities & General Education with desire of learning and they want to find identity and plan detailed future. 2) "The pursuit of happiness" has less desire on learning than "self-realization" and they are types who participate in Humanities & General Education because of someone else's help and suggestion. 3) "Local community" is the type who participate in Humanities & General Education because they feel necessity of social role and they expect local development based on their interest in local community. Several conclusions and suggestions are provided for further studies.

• Journal of Families and Better Life
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• v.25 no.1 s.85
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• pp.101-112
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• 2007

In this paper, 274 traditional fairy tales of South and North Korea were selected for research. The research was performed using a content analysis chart, and found differences in the number of characters, how ideology and social setting affect categorization of the characters, and what values are represented in the fairy tails of each country. Analysis of the general characteristics of traditional fairy tales of South and North Korea shows that South Korean traditional fairy tales have more cases where $1{\sim}4$ characters appear. In North Korean fairy tales, 5 or more characters generally appear. Analysis of the categories of characters in traditional fairy tales of South and North Korea found that characters fall into categories of family, friend and tutor, village, and the native country more often in South Korean fairy tales than in North Korean fairy tales. Character categorizations of county and foreign countries are found more often in North Korean fairy tales. In particular, the difference in character categorization of family, friend and tutor, and county shows that different ideology and social setting affected categories of characters. Research on traditional fairy tales of South and North Korea shows that traditional fairy tales of South Korea have chosen self-respect, self-restraint, fidelity(responsibility), understanding others, manners and honesty as themes more often than those of North Korea and subjects such as frugality, sharing, order and rules, cooperation and patriotism(ecosystem protection) we found more often in those of North Korea.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.368-369
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• 2011

This article suggests an online-based remote fault current mode discrimination method in order to identify the causes of the power line faults with various causes. For that, it refers to existing cause identification methods and categorizes modes by fault causes based on statistical techniques beforehand and performs the pretreatment process of fault currents by each cause acquired from the fault recorder into a topological plane in order to extract the characteristics of fault currents by each cause. After that, for the fault mode categorization, it discriminates modes by each cause using data by each cause as leaning data through utilizing RBF network based on FCM allowing self-organization in deciding the middle layer. And then it tests the validity of the suggested method as applying it to the data of the actual fault currents acquired from the fault recorder in the electric power transmission center.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.642-654
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• 2016

The purpose of this study was analyze the characteristics of self-management of the physical activity questionnaire elementary and develop self-management. To do this, from the average student is selected to receive training in physical education gifted students, and to cover up the children who are acting as an athlete in the current schools participated in a variety of students. Professional meetings, inductive categorization, item analysis, exploratory factor analysis and confirmatory factor analysis conducted, the verification was carried out between different groups discriminant validity for verification. As a result, physical activity self-management factor is the support of the parents of elementary school students, exercise management, life management, interest, self-confidence, support of parents, personal management were six factors determined to be a total of 24 questions. In addition, Gifted children was higher than in all the sub-factors of physical activity self-management in the general child population. As a result, we ensure the validity of the test to diagnose physical activity as a self-managed by first responders schools.

• Korean Journal of Child Studies
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• v.35 no.2
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• pp.1-23
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• 2014

The purpose of this research was to investigate the most critical variables in the school adjustment of youth. In addition, this research assessed the impact of variables according to the categorization of individual, family, and school domains. To acquire the effect sizes, published studies between 1990 and 2012 were reviewed systematically and synthesized by meta-analysis. The major findings were as follows. First, this study identified a total of 34 variables which can have an influence on the school adjustment of youth and confirmed that 24 of those variables are significant. The most crucial variable that can influence school adjustment is that of a teacher's support. The next most important variables are self-resilience, relationships with friends, and self-efficiency. Focusing on the categorized elements, self-resilience is the most critical variable in the individual domain, the parent-child relation is the most crucial variable in the family domain, and a teacher's support is the most powerful variable in the school domain. Based on these results, this study suggested a number of the indispensable components in interventions to improve the youth's adjustment in school.