• Journal of The Korean Association of Information Education
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• v.5 no.2
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• pp.268-278
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• 2001

This study is design and implementation of diagnosis module using item response theory to assess level of student's knowledge in web-based instruction systems. Item response theory uses responses to items on a test or survey questionnaire to simultaneously locate both the items on the latent trait defined by the set of items while simultaneously scaling each item on the very same dimension. Existing method of measurement in web-based instruction system provided dichromatic learning after to be assess just with the total scores of exam. This measurement has an error that do not consider the level of student's knowledge. Moreover, this method can't perform an exact diagnosis of student knowledge and make student modeling to construct intelligent tutoring system. In this study, we present that design and implement a diagnosis module using item response theory to assess level of student's knowledge in web-based instruction systems

• Journal of Korea Entertainment Industry Association
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• v.15 no.6
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• pp.193-203
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• 2021

The purpose of this study was to invest the mediating effect of the mobile phone addiction and the aggression within the path which the social withdrawal have explained the community spirit of an university student. For the purpose, this study have chosen a total of 1,347 cases as an analysis target from the Korean Youth-Child Pannel Study(KYPS) 7th wave. And this study have used the Structural Equation Modeling(SEM) from AMOS 18.0 as an analysis method. This study have also used sobel test for finding out the effectiveness of the mediating path. This study found these analysis results through the analysis method which this study have suggested. First, this study have verified the effectiveness of the direct path that the social withdrawal predicted the community spirit of an university student. Second, this study have found the effectiveness of the mediating path composed by the mobile phone addiction and the aggression. As these analysis results, this study have proposed the implication for the community spirit of an university student and suggestion for a follow-up study.

• The Journal of Society for e-Business Studies
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• v.6 no.3
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• pp.63-80
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• 2001

The construction of the students knowledge in e-Learning systems, namely the student modeling, is a core component used to develop e-Learning systems. However, existing e-Learning systems have many problems to share the knowledge in a heterogeneous student model and a distributed knowledge base. Because the methods of the knowledge representation are different in each e-Learning systems, the accumulated knowledge cannot be used or shared without a great deal of difficulty. In order to share this knowledge, existing systems must reconstruct the knowledge bases. Consequently, we propose a new a Case Markup Language based on XML in order to overcome these problems. A distributed e-Learning systems fan have the advantage of easily sharing and managing the heterogeneous knowledge base proposed by CaseML. Moreover students can generate and share a case knowledge to use the communication protocol of agents. In this paper, we have designed and developed a CaseML by using a knowledge markup language. Furthermore, in order to construct an intelligent e-Learning systems, we have done our research based on the design and development of the intelligent agent system by using CaseML.

• Knowledge Management Research
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• v.16 no.2
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• pp.47-66
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• 2015

Due to multiple information sources, external information search(EIS) is the key issue on smart tourism environments. EIS is more important on experiential goods such as exhibition and convention. Despite the increasing importance of EIS, very little is known about what is the more effective information source in this area. In this paper, we attempt to examine the relations of satisfaction and between both online and offline information. This research analyzes an empirical model including EIS, affective involvement, perceived usefulness, satisfaction to student visitors on exhibition experience. Hence, six hypotheses are developed to test the relations of EIS and satisfaction using the mediating effects of affective involvement. Specifically, we developed a research model by employing the Uses and Gratification(U&G) framework and tested it to understand how student visitors' involvement and satisfaction might be changed according to EIS. Survey data was collected from 203 student visitors on "2014 Expo KCCE" was used to test the model using structural equation modeling. The implications of our empirical findings for both research and practice are discussed.

• Journal of Korean Elementary Science Education
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• v.31 no.3
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• pp.269-283
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• 2012

The purpose of this study is to further develop the strategies using science magic and investigate the their effects of the instruction on the student's attitude toward science. To do this, a main idea was selected and stages for science teaching methods were developed. Two classes of the 4th grade were selected and instructed. After implementing and using the teaching method, a test and survey were administered to examine the perception of the students and the learning effects of the new science teaching. The results of this study were as follows. First, the strategy for using science magic was developed and applied. For learners, doing science magic was more effective on their own in terms of boosting student's understanding and interest. Also the teacher's modeling was better in terms of presenting the contents. Second, the students' reaction and perception on using the science magic in classes were positive. In the classroom setting, science magic helped the learners understand better and made the learning environment fun. Third, instruction using science magic had a positive effect on student's attitude toward science. Students felt curiosity about science magic. It made them participate better in studying the activity as well. In conclusion, instruction using science magic can be applied to science to education, and the attitudes toward science and learning achievements can be improved.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.67-78
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• 2021

This study aims to analyze how students' design work functions affect consumer attitudes and purchase intentions toward clothes designed by students, while exploring the moderating effect of price sensitivity in such a relationship. Data was acquired from 351 responses of an online questionnaire (www.sojump.com). A two-step approach was employed to analyze our hypotheses using structural equation modeling (SEM) in SPSS 22.0 and AMOS 22.0 statistical packages. First, significant empirical evidence was secured regarding the effects of design functions (assurance, fashion, camouflage, individuality, and comfort) on consumer attitudes toward clothes, which can lead to purchasing intention. Fashion, individuality, and comfort functions can enhance consumer attitude significantly, but assurance and camouflage have no significant influence. Among the functions, comfort has the greatest effect on consumer attitudes, indicating that when students market works as commodities, comfort should be highlighted in their designs. In this way, such products can draw the interest of many consumers. Second, empirical evidence showed that price sensitivity negatively moderates the association between attitude and purchase intention. Thus, design courses should be careful when setting student works' prices given consumer sensitivity. The optimization of the student works' cost structure can help minimize price sensitivity. Overall, the findings and their implications can serve as a basis for the commercial application of design curriculum works and provide feasible support for developing student design curriculum in the future.

• Journal of Distribution Science
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• v.20 no.5
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• pp.75-84
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• 2022

Purpose: The paper employs the theory of planned behaviour, social identity theory, social presence theory, and social exchange theory to propose a model for using the social media platform Facebook in distributing information in universities. Research design, data and methodology: Data were obtained from 618 students at Hanoi University of Industry (HaUI) in Vietnam. The study used structural equation modeling in SPSS and the statistical analysis software AMOS version 24 to explore the information distribution role of Facebook. Results: Findings reveal that subjective norms and social presence play a key role in driving students to use Facebook for studying. In addition, university administrators can boost student satisfaction and academic achievement through Facebook. Interestingly, students who strongly identify with the brand name of the university have a strong connection with the university are more likely to engage in behaviors supportive toward the university. Conclusions: These findings show that Facebook had played a key information distribution role in universities. Thus, the study provides the executive board of the university and teachers can gain new understanding of why students employ Facebook for studying as well as capitalize on the platform to improve several operational metrics such as brand identification, student satisfaction, and academic achievement.

• Communications for Statistical Applications and Methods
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• v.30 no.2
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• pp.163-178
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• 2023

GARCH-X(1, 1) model specifies that conditional variance follows an AR(1) process and includes a past exogenous variable. This study proposes a new class from that model by allowing a more general (non-linear) variance function to follow an AR(1) process. The functions applied to the variance equation include exponential, Tukey's ladder, and Yeo-Johnson transformations. In the framework of normal and student-t distributions for return errors, the empirical analysis focuses on two stock indices data in developed countries (FTSE100 and SP500) over the daily period from January 2000 to December 2020. This study uses 10-minute realized volatility as the exogenous component. The parameters of considered models are estimated using the adaptive random walk metropolis method in the Monte Carlo Markov chain algorithm and implemented in the Matlab program. The 95% highest posterior density intervals show that the three transformations are significant for the GARCHX(1, 1) model. In general, based on the Akaike information criterion, the GARCH-X(1, 1) model that has return errors with student-t distribution and variance transformed by Tukey's ladder function provides the best data fit. In forecasting value-at-risk with the 95% confidence level, the Christoffersen's independence test suggest that non-linear models is the most suitable for modeling return data, especially model with the Tukey's ladder transformation.

• Knowledge Management Research
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• v.14 no.1
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• pp.121-132
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• 2013

In education, innovative ways of teaching and learning are always under development and keep being proposed with advanced concepts since the ancient times. Student-centered learning, problem-based learning and cooperative learning have been three major trends under development in secondary education research and practice more than a decade or so. Combined with advanced information and communication technologies, these trends will greatly transform the way we teach and learn in classroom environment and may change the classroom environment itself, into a more interactive and self-centered coaching type environment. In this study, a smart environment that utilizes advanced information technology devices and network is conceptualized, accommodating requirements contained and proposed in the recent trendy pedagogies. Pedagogical cases discussed in these trends are analyzed in detail, producing requirements for such a learning and coaching environment. These requirements are modeled using unified modeling language, leading to a proposal of a basic architecture for an information system supporting this environment.

• 대한공업교육학회지
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• v.30 no.1
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• pp.1-18
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• 2005

The purpose of this study was to development a model of problem solving instruction for improving practical skill-competence in technical high school. For the study, various literature researches were reviewed intensively about problem solving process, laboratory instruction's approaches and learning principals. The problem solving instruction process was composed with identifying problems, generating alternative solutions, investigation and research, choosing a solution, acting on a plan, modeling of problem solving, testing and evaluating, redesigning and improving. The skills schema combines a four domain of skilled activity, that is, cognitive skills, psychomotor skills, reactive skills and interactive skills. The problem solving instruction was composed with five major learning systems-emotional, social, cognitive, physical, and reflective-that can be used extensively as generic lesson plashing. The teacher serves as a coach or guide for student learning. As a facilitator, the teacher challenges, questions, and stimulates the students in their thinking, problem solving and self-directed study. In this process, students represent problem with think aloud, assume responsibility for their learning and move from teacher-centered to student-centered education.