• School Mathematics
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• v.2 no.1
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• pp.203-241
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• 2000

This study aims to suggest a model of task development for mathematics performance assessment and to develop performance tasks for the fifth graders in the primary school on the basis of this model. In order to achieve these aims, the following inquiry questions were set up: (1) to develop open-ended tasks and projects for the fifth graders, (2) to develop checklists for measuring the abilities of mathematical reasoning, problem solving, connection, communication of the fifth graders more deeply when performance assessment tasks are implemented and (3) to examine the appropriateness of performance tasks and checklists and to modify them when is needed through applying these tasks to pupils. The consequences of applying some tasks and analysing some work samples of pupils are as follows. Firstly, pupils need more diverse thinking ability. Secondly, pupils want in the ability of analysing the meaning of mathematical concepts in relation to real world. Thirdly, pupils can calculate precisely but they want in the ability of explaining their ideas and strategies. Fourthly, pupils can find patterns in sequences of numbers or figures but they have difficulty in generalizing these patterns, predicting and demonstrating. Fifthly, pupils are familiar with procedural knowledge more than conceptual knowledge. From these analyses, it is concluded that performance tasks and checklists developed in this study are improved assessment tools for measuring mathematical abilities of pupils, and that we should improve mathematics instruction for pupils to understand mathematical concepts deeply, solve problems, reason mathematically, connect mathematics to real world and other disciplines, and communicate about mathematics.

• Electronics and Telecommunications Trends
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• v.34 no.4
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• pp.43-54
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• 2019

Currently, a majority of artificial intelligence is used to secure big data; however, it is concentrated in a few of major companies. Therefore, automatic data augmentation and efficient learning algorithms for small-scale data will become key elements in future artificial intelligence competitiveness. In addition, it is necessary to develop a technique to learn meanings, correlations, and time-related associations of complex modal knowledge similar to that in humans and expand and transfer semantic prediction/knowledge inference about unknown data. To this end, a neural memory model, which imitates how knowledge in the human brain is processed, needs to be developed to enable knowledge expansion through modality cooperative learning. Moreover, declarative and procedural knowledge in the memory model must also be self-developed through human interaction. In this paper, we reviewed this essential methodology and briefly described achievements that have been made so far.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.99-106
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• 2011

Recent demands from construction industry have emphasized the capability for graduates to have improved skills both technical and non-technical such as problem solving, interpersonal communication. To satisfy these demands, problem-based learning that is an instructional method characterized by the use of real world problem has been adopted and has proven its effectiveness various disciplines. However, in spite of the importance of field senses and dealing with real problem, construction engineering education has generally focused on traditional lecture-oriented course. In order to improve limitations of current construction education and to satisfy recent demands from construction industry, this paper proposes a new educational approach that is Failure-Based Learning for using combination of the procedural characteristics of the problem-based learning theory in construction technology education utilizing failure information that has the educational value in the construction area by reinterpreting characteristics of construction industry and construction failure information. The major results of this study are summarized as follows. 1) Educational effect of problem-based learning methodology and limitation of application in construction area 2) The educational value of the information on construction failure and limitation in application of the information in construction sector 3) Anticipated effect from application of the failure-based learning 4) Development and application of the failure-based learning model

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.87-98
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• 2019

In recent years, many organizations protect their information resources by investing in information security technology. However, information security threats from insiders have not been reduced. This study proposes a method for reducing information security threats within an organization by mitigating negative information security behaviors of employees. Specifically, the study finds a relationship between information security related role stress and negative behavior and suggests whether organizational justice mitigates role stress. That is, the purpose of the study is to suggest a mechanism between organizational justice, information security related role stress, and negative behavior. Negative behavior consist of avoidance behavior and deviant behavior, and security related role stress consist of role conflict and role ambiguity. Organizational justice consist of distributional justice, procedural justice, and informational justice. The research model is verified through structural equation modeling. After establishing a research model and hypothesis, we develop a survey questionnaire and collect data from 383 employees whose organizations have already implemented security policies. The findings appear that security related role stress increases negative behavior and that organizational justice mitigates role stress. The results of the analysis suggest the direction of organizational strategy for minimizing insider's security-related negative behaviors.

• Journal of Distribution Science
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• v.18 no.1
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• pp.107-121
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• 2020

Purpose: Shared mobility services are the most notable in the shared economy; however, they have yet to be activated in Korea due to various regulations and conflicts amongst stakeholders. Nevertheless, shared mobility has become an irresistible trend of the times, as it can cause a great deal of economic and environmental benefits. In this vein, the purpose of this study is to contribute to the revitalization of shared mobility services in Korea and to provide service providers with implications for developing consumer-oriented marketing strategies. Research design, data and methodology: Based on the reasons that the users do not use shared mobility service, the factors influencing the behaviors of shared mobility users are structured and analyzed in a reliable, technical and procedural manner. To this end, the theory of reasoned action (TRA) of Ajzen and Fisbbein, the initial trust model (ITM), task technology fit (TTF) and switching cost (SC) are adopted. A total of 202 questionnaires were collected from the respondents who were aware of shared mobility. Then statistical processing of the collected data used SmartPLS(v.3.2.8), a PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis program. The steps of the analysis are as follows. First, a PLS-Algorithm analysis was performed to evaluate the measurement model, and a Bootstraping and Blindfolding analysis was performed to evaluate the structural model and verify the hypotheses. Second, a multi-group analysis (PLS-MGA) was conducted to further analyze the differences depending on whether or not users experienced shared mobility service. Results: The results showed that initial trusts model (ITM) and task technology fit (TTF) have positive effects on users' behaviors through the mediation of the intention to use. As opposed to the assumption, switching costs did not have negative moderating effects in relation to the intention to use and users' behaviors. The influence of IT self-efficacy was significant, depending on the prior experience to use shared mobility services. Conclusions: This study will contribute to the revitalization of domestic shared mobility services and the formulation of service providers' marketing strategies. In future studies, there is a need to explore, reconstruct, and validate factors other than the impact factors of the shared mobility services used in this research model.

• Convergence Security Journal
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• v.17 no.3
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• pp.103-114
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• 2017

Terrorism is a serious problem in that it can infringe on a broad range of legal interests, from individual legal interests to national legal interests. And if these legal values are damaged, it is very unlikely that they will be restored to their original state. Therefore, it is necessary to recognize the importance of preventive activities as well as institutional improvement and alternative policies. The role of the criminal justice authority is of paramount importance in ensuring proactive action and procedural legitimacy. It would be meaningful to look at their perception about terrorism before specific procedures and legal approaches are taken. A Study is related terrorism awareness of police officers - focused on 'Comprehensive Emergency Management Model'. Four phases of Comprehensive Emergency Management Model: mitigation, preparedness, response, and recovery.

• Korean Institute of Interior Design Journal
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• v.26 no.3
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• pp.45-54
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• 2017

A social phenomenon that occurs in a physical space is said to be a complex system. However, space syntax, which is commonly employed by researchers to identify such social phenomena, has various limitations in interpreting their complexity. On the other hand, agent-based modeling considers a variety of factors including the personality of the agent, objective-oriented work flows, estimation according to time flows and better prediction of space use through diverse parameters depending the situation, as well as the characteristics of the space. The agent-based method thus has the potentials to be developed as an alternative to space syntax techniques. In particular, discrete event driven simulation(DEVS), which is part of the agent-based modeling method, embraces the concept of networks just like space syntax, which allows a possible theoretical linkage in the future. This study suggests a procedural model of agent-based DEVS reflecting two different connection methods, i.e. connections between adjacent areas and those of the entire space, and attempts to identify the relationship between the local and regional indices of space syntax. A number of spaces were selected as examples-one for a preliminary experiment and eight modified for the main experiment-and space syntax and DEVS were applied to each of them. The comparative analysis of the results led to the conclusions as follows: 1) Adjacent connections were closely related to local indices, while the whole-space approach to regional indices. Local integration shows both characteristics. 2) Observation of the time flow model indicated a faster convergence with the range of 1 to 3-fold of the total time of one lap, with the error of less than 10%. 3) The heat map analysis showed more obvious characteristics of using the space for the entire space rather than adjacent connections. 4) Space syntax shows higher eligibility than ABM.

• Journal of The Korean Association of Information Education
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• v.9 no.3
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• pp.397-406
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• 2005

The goal of this research is to prove the efficiency of direct instruction by developing and applying an ICT teaching and learning course for physical education based on a direct instruction model. The curriculum for physical education requires the instructors example and feedback, and sometimes classes may be difficult to conduct due to reasons such as weather conditions. Also, in actual learning, the application of a learning model is inadequate. In these cases, using an ICT teaching and learning course, experts can show examples instead. The learners are provided with individual and suitable feedback and can make it practical for them by slowing down motions, sectional motion learning, and repetitive learning. It can also enhance the sharing of the instructors teaching and learning methods. Therefore, this research recomposed the commonly used direct teaching and learning methods in physical education in order to make it suitable for ICT utilized lessons. It was recomposed in a procedural model and each level was explicated, and in order to materialize this, an ICT teaching and learning course was developed. This was then applied to a Fifth grade class, and its learning effects were analyzed.

• Informatization Policy
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• v.20 no.4
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• pp.23-50
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• 2013

The main purpose of this study is to empirically examine and to develop the optimal model about an influential relationship between the types of source-based trust and knowledge sharing of local government officials. Procedural and distributive justice-based calculative trust in organization, cognition-based trust in organization, cognition-based trust in supervisor, cognition-based trust in coworkers, and emotion-based trust in coworkers were set up as independent variables of this research model, and sharing of tacit knowledge and explicit knowledge based on the knowledge content as dependent variables. The research results shows that the suitability of each model has approximate value to the required level, and that emotion-based trust in coworkers significantly affects knowledge sharing for both the individual and integrated factors in hypothetical influential relationship. This study is expected to help to enable knowledge sharing in various situations by dividing the concepts of trust that affect knowledge sharing into a few types, and deriving the influential model of knowledge sharing by types.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.163-172
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• 2017

In recent days, the Non-Linear Editing is mainly used in the field of broadcasting. In comparison to conventional editing, Non-Linear Editing can immediately access the image of the desired position and facilitate the insertion and deletion of video frame. Furthermore, it directly apply a title and transition effect to video frame. Moreover, it has an advantage of preview and easy modification in title effect, transition and editing prior to export. However, students who learn Non-Linear Editing first time are not easy to learn it. In this paper, we propose a new learning model based on Reciprocal Peer Teaching (RPT), which helps NLE beginners to understand Non-Linear editing more clearly. We divide the students into two groups i.e. control group and experimental group. The control group students do not apply proposed method while experimental group performs evaluation over our model. Furthermore, we carry out the experiments, which include the overall average of the two groups, academic achievement of students with low grades, standard deviation, T-test and satisfaction surveys. The experimental group shows the superiority in performed experiments and higher satisfaction ratings than the control group.