• Journal of Gifted/Talented Education
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• v.21 no.3
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• pp.773-796
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• 2011

This study examined the thinking styles of scientifically gifted students on the basis of Sternberg's theory of mental self-government, and the relationship between thinking styles and self-regulated learning ability of the students and their scientific inquiry ability by the different types of thinking styles. 110 middle school students who belonging to the university science-gifted education center participated in this study. 13 thinking styles were postulated that fall along 5 dimensions which are functions, forms, levels, scopes and leanings of the mental self-government. Scientifically gifted students responded to the Thinking Style Inventory (TSI) that standardized Korean version, Self-regulated Ability Inventory and Test of Science Inquiry Skills Inventory (TSIS). The results indicated that scientifically gifted students prefer legislative, liberal, external, hierarchical and judical thinking styles, rather than conservative style. This result also showed that subscales of thinking styles were significantly correlated with self-regulated learning ability and scientific inquiry ability. The legislative style, hierarchical style, local style and liberal style were significant predictors of self-regulation learning ability. The legislative style was significant predictor, whereas oligarchic style was negative predictor of scientific inquiry ability. The results of k-means clustering analysis and MANOVA showed that the self-regulated learning ability and scientific inquiry ability were significantly correlated with the pattern and level of thinking style.

• Journal of The Korean Association For Science Education
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• v.34 no.7
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• pp.693-701
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• 2014

Based on social cognitive theory, self-efficacy in the context of learning has been steadily emphasized as an indicator of students' motivation and performance. The premise for developing such an instrument was that a specific measure of Physics self-efficacy was deemed to be an important predictor of the change processes necessary to improve students' physics understanding. In this study we described the process of developing and validating an instrument to measure students' beliefs in their abilities to perform essential tasks in physics and then investigated high school students' self-efficacy about physics learning and performance. Validity and reliability of PSEI were tested using various statistical techniques including the Cronbach alpha coefficient, exploratory factor analysis. The result of factor analysis supported the contention that the Physics Self-Efficacy Inventory (PSEI) was a multidimensional construct consisting of at least four dimensions: understanding and application of Physics concepts, achievement motivation, confidence for physics laboratory, confidence for Mathematics. The result showed that Kroean high schools students have low Physics self-efficacy for the all four dimensions. Therefore, researchers should focus on development of students' Physics self-efficacy. In addition, the instrument may lead to further understanding of student behavior, which in turn can facilitate the development of strategies that may increase students' aspiration to understand and study Physics. More specifically, by using the PSEI as a pre- and post-test indicator, instructors can gain insight into whether students' confidence levels increase as they engage in learning Physics, and, in addition, what type of teaching strategies are most effective in building deeper understanding of Physics concepts.where they freely exchanged opinions and feedback for constructing better collective ideas.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.507-512
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• 2001

Feature-based similarity has become an important research issue in multimedia database systems. The features of multimedia data are useful for discriminating between multimedia objects. the performance of conventional multidimensional data structures tends to deteriorate as the number of dimensions of feature vectors increase. The $R^{*}-Tree$ is the most successful variant of the R-Tree. In this paper, we propose a SOM-based $R^{*}-Tree$ as a new indexing method for high-dimensional feature vectors. The SOM-based $R^{*}-Tree$ combines SOM and $R^{*}-Tree$ to achieve search performance more scalable to high-dimensionalties. Self-Organizingf Maps (SOMs) provide mapping from high-dimensional feature vectors onto a two-dimensional space. The map is called a topological feature map, and preserves the mutual relationships (similarity) in the feature spaces of input data, clustering mutually similar feature vectors in neighboring nodes. Each node of the topological feature map holds a codebook vector. We experimentally compare the retrieval time cost of a SOM-based $R^{*}-Tree$ with of an SOM and $R^{*}-Tree$ using color feature vectors extracted from 40,000 images. The results show that the SOM-based $R^{*}-Tree$ outperform both the SOM and $R^{*}-Tree$ due to reduction of the number of nodes to build $R^{*}-Tree$ and retrieval time cost.

• Journal of Korea Game Society
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• v.13 no.2
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• pp.131-142
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• 2013

The current study examined how different level of self-constol and construal level influences game users' game addiction. Also we explored the interaction effect between the individual's self-control and construal level on game addiction. To answer the research questions, we conducted an online survey and total 918 participants were selected for the final analysis. According to the results, users with low level of self-control and low-level construal showed higher level of game addiction. In addition, we found a significant interaction effect between self-control and construal-level on game addiction. In high self-control group, game addiction level was low regardless of level of self-construal. However, in low self-control group, the level of construal-level affected game addiction. We found that construal-level played an important mediating variable. These findings suggest a noble insight for autonomous control in alleviatinggame addiction by changing one's level of self-control and self-construal.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.1-16
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• 2022

Social network service (SNS) using mobile or web is growing rapidly, and the emergence of various platform services is causing innovative changes in social network service (SNS). This study is to identify the target relation factors of social network users and to empirically study the causal relationship of how much these factors affect user satisfaction through pleasure and self-efficacy. To present an effective and efficient development plan in. In order to empirically verify the research model of this study, a survey was conducted with the general public who had experience using social network services (SNS). Path analysis was performed. As a result, it was possible to verify the correlation of the object relational factors on user satisfaction through pleasure and self-efficacy.First, non-excluded had a significant effect on pleasure, but did not significantly affect self-efficacy. Second, stability attachment did not significantly affect both enjoyment and self-efficacy. Third, social ability did not significantly affect both enjoyment and self-efficacy. Fourth, self-centeredness did not have a significant effect on both enjoyment and self-efficacy. Fifth, pleasure had a significant effect on both self-efficacy and user satisfaction. Sixth, self-efficacy had a significant effect on user satisfaction.

• Korean Journal of Culture and Social Issue
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• v.11 no.4
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• pp.23-43
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• 2005

The purpose of this study was to investigate the relationship of career indecision, job search behavior, and p-j/p-o fit among college graduates based on sub-scales of career indecision (lack of career information, lack of self-clarity, decisiveness, lack of necessity recognition, external Barrier). This study explored the effect of career indecision on job search behavior and p-j/p-o fit and the effect of job search behavior on p-j/p-o fit in longitudinal method. The main results were as follows: 1) Career indecision had negative effect on job search behavior and p-j/p-o fit. In other words, the higher career indecision level is, the less job search behavior is performed. And the higher career indecision level is, the lower p-j/p-o fit perception is: 2) Career indecision was connected with preparatory job search behavior and informal job search behavior: 3) Decisiveness of career indecision was connected with p-j/p-o fit and lack of self-clarity was connected with p-j fit. 4) Job search behavior was not connected with p-j/p-o fit. Thus job search behavior didn't have prerequisite for mediator between career indecision and p-j/p-o fit. The findings are discussed in terms of the implications for further research.

• Spatial Information Research
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• v.8 no.2
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• pp.243-255
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• 2000

The spatial distribution characteristics and patterns of geographic features in space can be understood through a variety of analysis techniques. The scale is one of most important factors in spatial analysis techniques. This study is aimed at identifying the characteristics of spatial data with a coarser spatial resolution and finding procedures for spatial resolution in operational scale. To achieve these objectives, this study selected LANSAT TM imagery for Sunchon Bay, a coastal wetland for a study site, applied the indices for representing scale characteristics with resolution, and compared those indices. Local variance and fractal dimension developed by previous studies were applied to measure the textual characteristics. In this study, Moran s I was applied to measure spatial pattern change of variance data which were generated from the process of coarser resolution. Drawing upon the Moran s I of variancedata was optimum technique for analysing spatial structure than those of previous studies (local variance and fractal dimension). When the variance data represents maximum Moran´s I at certainly resolution, spatial data reveals maximum change at that resolution. The optimum resolution for spatial data can be explored by applying these results.

• Journal of Science Education
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• v.39 no.3
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• pp.389-403
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• 2015

The goal of this study were to look into the elementary school teacher's experience in the self-review of science class and analyze the changes of reflection level revealed in it. This study was a qualitative example research where two elementary school teachers participated and performed self-review via reflective writings regarding their science classes. Both teachers showed changes in aspect and frequency of review to a certain extend by reflective writings based on their class experience and the educational settings they are at. They all revealed a high level of changes on reflection by the feedback from the class reviews. Affirmative changes of cognition on science class and the perception of factors affecting the practice of the class such as understanding students, class observation of the peer teachers et al. contributed to the elevation of reflection level by continuously adjusting and complementing the practical knowledge through the reflection during or after the class.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.717-728
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• 2016

This study examined the factors for feelings of emptiness on Facebook use, and how these feelings are related to the user's personal attributes and the addiction to Facebook usage. For analysis, the factors for feelings of emptiness on Facebook use among college students were measured and a questionnaire was developed. After analysis, 3 factors were identified: 'isolation and loneliness', 'self-regulation disorder', and 'unreality'. Then, variables influencing the feelings of emptiness were identified. Among big 5 personalities, neuroticism, agreeableness, and openness to experience were related to the factors for feelings of emptiness. The study also found that motivations such as 'self-disclosure' and 'social pressure from others' tended to enhance the feelings of emptiness. Finally, the study examined the relationship between feelings of emptiness on Facebook use and the addiction to it. Factors of 'isolation and loneliness' and 'unreality' revealed more addiction tendency on Facebook.

• The Mathematical Education
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• v.59 no.4
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• pp.373-387
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• 2020

The purpose of this study is to verify the effects of personalized learning platforms applied with machine learning recommendation modules that upgrade recommended algorithms by themselves through learning big data analysis on students' learning time, self-directed learning ability, mathematics achievement, and attitudes toward mathematics, and the correlation between them. According to the study, customized learning affected learning time, self-directed learning ability and mathematics attitude, while learning time affected self-directed learning ability. Self-directed learning ability has had a significant impact on the attitude of mathematics and mathematical achievements. As a result of the mediated effectiveness test, the indirect impact of customized learning on mathematics attitude and mathematics performance was significant through the medium of learning time and self-directed learning ability.