• Journal of the Korean School Mathematics Society
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• v.13 no.3
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• pp.443-458
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• 2010

This study is about how differ math anxiety according to the features of brain preference. In order to solve questions, BPI test and math anxiety test were done to high school students in the second grade. The test sheets were analyzed by ANOVA and MANOVA using SPSS 14.0. The result was found out that math anxiety was high in the order of left-brain preferences, both-brain preferences, and right-brain preferences. High level of math anxiety among students with right-brain preferences seem to be influenced by the right brain which prefers emotional features. Therefore, students need to stimulate their left brain by writing and reading something a lot when they solve math questions. Also, teachers can lessen math anxiety of students by give them opportunities to solve step-by-step questions, using various visual teaching materials promoting students' reasoning ability which can help them solve questions in a systematic and analytic way.

• Korean Journal of Construction Engineering and Management
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• v.12 no.5
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• pp.63-70
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• 2011

This research outlined the factors influencing the business management success via analyzing a survey of business principles. The research process has been tested in comparison of both financial factors, which come out of objective data and non-financial factors so relevantly prioritized by combining these factors. In order to specify the factors, a check-list and analyzed essential features of category have done with interviews and surveys. As consequently proceeding, the authors could deduce that non-financial but analytic factors such as business doable, technician workability, compensation and benefits etc. play major roles in construction sector. The outcomes consider a construction business as fundamental human labor job as opposed to a manufacture business. On reasoning necessarily more objective research works to be done as developing this research's outcome, it is meaningful in suggesting the pivotal factors influencing the construction business management. Therefore, this research is expected to guide the direction to induce the improvement of business management to be done by further exemplary researches.

• Journal of Information Technology and Architecture
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• v.10 no.4
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• pp.467-478
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• 2013

The necessity of research for EA service and performance is surfacing while nation-level and individual agency level performances utilizing Government-wide EA information. In this study, performance model for EA service has been developed categorizing characteristic elements of EA as service. And weight differences between quality items that constitute performance model have been calculated using AHP analysis method. To achieve the stated, SERVQUAL applied performance model for EA service has been developed working through logical reasoning and a broad range of theoretical studies concerning EA service. Moreover, relative weight differences between quality items that constitute the model have been calculated. The results of weight analysis find that importance differences between quality items in order of significance are as follows: EA administrator > EA information > EA education > EA policy > EA operating system. This study, as the nation's first research to graft the public-sector EA service onto SERVQUAL Model that is capturing remarkable attention, has considerable practical and theoretical implications.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.29-45
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• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.

• Journal of Engineering Education Research
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• v.10 no.2
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• pp.44-61
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• 2007

The present investigation is concerned chiefly with new curriculum development at the Department of Mechanical System & Design Engineering at Hongik University with the aim of enhancing creativity, team working and communication capability which modern engineering education is emphasizing on. 'Mechanical System & Design Engineering' department equipped with new curriculum emphasizing engineering design is new name for mechanical engineering department in Hongik University. To meet radically changing environment and demands of industries toward engineering education, the department has shifted its focus from analog-based and machine-centered hard approach to digital-based and human-centered soft approach. Three new programs of Introduction to Mechanical System & Design Engineering, Creative Engineering Design and Product Design emphasize hands-on experiences through project-based team working. Sketch model and prototype making process is strongly emphasized and cardboard, poly styrene foam and foam core plate are provided as working material instead of traditional hard engineering material such as metals material because these three programs focus more on creative idea generation and dynamic communication among team members rather than the end results. With generative, visual and concrete experiences that can compensate existing engineering classes with traditional focus on analytic, mathematical and reasoning, hands-on experiences can play a significant role for engineering students to develop creative thinking and engineering sense needed to face ill-defined real-world design problems they are expected to encounter upon graduation.

• Journal of The Korean Association of Information Education
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• v.17 no.3
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• pp.277-290
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• 2013

As the deployment of digital learning environment has been accelerating in rapid changes in information and communications technology, a tool is required to practically measure and evaluate the level of information education (IE) for freshmen in the University in order to propose an appropriate direction of IE in a teachers college. According to such current trends, ICT literacy is a tool to assess a specific level of capabilities such as a variety of real-world problem-solving skills, creativity, critical thinking, analytic reasoning, and communication skills. This study has developed a test tool to measure ICT literacy competence on the basis of the concept of test questions defined from the previous research. It was used to measure ICT literacy competence of 360 university freshmen of education and analyze if there is a difference among them depending on overall ICT literacy levels and genders, content areas, competence factors, and completion of IE course in high school. The result of this study would be expected to determine the current location of IE for freshmen in the University of Education and to be able to take advantage of basic data of the direction for IE course that university students need to essentially acquire in preparation for the coming future.

• Korean Journal of Construction Engineering and Management
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• v.14 no.4
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• pp.46-54
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• 2013

This research outlined the factors influencing the business management success via analyzing a survey of business principles. The research process has been tested in comparison of both financial factors, which come out of objective data and non-financial factors so relevantly prioritized by combining these factors. In order to specify the factors, a check-list and analyzed essential features of category have been done with interviews and surveys. As consequently proceeding, the authors could deduce that non-financial but analytic factors such as business do-able, technician workability, compensation and benefits etc. play major roles in construction sector. The outcomes consider a construction business as fundamental human labor job as opposed to a manufacture business. On reasoning necessarily more objective research works to be done as developing this research's outcome, it is meaningful in suggesting the pivotal factors influencing the construction business management. Therefore, this research is expected to guide the direction to induce the improvement of business management to be done by further exemplary researches.

• The Journal of Korean Academy of Sensory Integration
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• v.17 no.3
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• pp.26-45
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• 2019

Objective : The purpose of this study is to develop educational goals, training content, and training methods for the intervention course of the Korean Academy of Sensory Integration (KASI) and to conduct competency-based intervention courses based on the competency model for sensory integration intervention. Methods : This study was conducted on work therapists who participated in the 2019 intervention course of KASI. In the first phase, educational needs were analyzed to set goals for the interventional course. In the second phase, a meeting of researchers drafted the intervention course education program and the methods of education, and the intervention course was conducted. In the third phase, the changes in educational satisfaction and performance level pre- and post-intervention course for each competency index were investigated. Results : The educational goals of "learning and applying the clinical reasoning process of sensory integration intervention" and "intervention by applying the principle of sensory integration intervention" were set after reflecting on the results of the analysis of the educational requirements. The length of the competency-based intervention course was 42 hours. The average education satisfaction level of participants in the arbitration process was 4.48±0.73, and the average education satisfaction level of the supervisor was 3.92±0.71. In both groups, the most satisfying curriculums were the data-driven decision-making process and the intervention goal-setting lecture. But the satisfaction level of was the lowest. Before and after the intervention course, there were significant changes in the performance of the two behavioral indicators of the analytic skills in the expertise competency cluster of the competency model. Conclusion : This study is meaningful in that it conducted a survey of educational needs, the development and implementation of an educational curriculum, and an education satisfaction survey through systematic courses necessary for education development.