• Research in Mathematical Education
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• v.13 no.1
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• pp.31-48
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• 2009

Utilizing the path analysis method, the study explores the relationships among the influential factors in mathematics modeling academic achievement. The following conclusions are drawn: 1. Achievement motivation, creative inclination, cognitive style, the mathematical cognitive structure and mathematics modeling self-monitoring ability, those have significant correlation with mathematics modeling academic achievement; 2. Mathematical cognitive structure and mathematics modeling self-monitoring ability have significant and regressive effect on mathematics modeling academic achievement, and two factors can explain 55.8% variations of mathematics modeling academic achievement; 3. Achievement motivation, creative inclination, cognitive style, mathematical cognitive structure have significant and regressive effect on mathematics modeling self-monitoring ability, and four factors can explain 70.1% variations of mathematics modeling self-monitoring ability; 4. Achievement motivation, creative inclination, and cognitive style have significant and regressive effect on mathematical cognitive structure, and three factors can explain 40.9% variations of mathematical cognitive structure.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.8-16
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• 2021

The tourism industry is influenced by a large number of factors that affect the development scenarios of the tourism in different ways. At the same time, tourism is an important component of the national economy of any state, forms its image, investment attractiveness, is a source of income and a stimulus for business development. The aim of the article is to conduct an empirical study to identify the importance of cognitive determinants in the development of tourism. The study used general and special methods: systems analysis, synthesis, grouping, systematization, cognitive modeling, cognitive map, pulse method, predictive extrapolation. Target factors, indicators, and control factors influencing the development of tourism in Ukraine are determined and a cognitive model is built, which graphically reflects the nature of the influence of these factors. Four main scenarios of the Ukrainian tourism industry are established on the basis of creating a matrix of adjacency of an oriented graph and forecast modeling based on a scenario approach. The practical significance of the obtained results lies in the possibility of their use to forecast the prospects of tourism development in Ukraine, the definition of state policy to support the industry that will promote international and domestic tourism.

• ETRI Journal
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• v.29 no.3
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• pp.393-395
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• 2007

Analytic modeling and computational simulation for the protection of DTV from cognitive radio interference are performed. Protection is achieved by using the protection ratio, which is derived through system modeling and its analysis. On the frequency coordination between digital TV and cognitive radio, an analysis in a co-channel environment, in a rural area in Korea, is performed.

• Asia pacific journal of information systems
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• v.6 no.2
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• pp.19-52
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• 1996

It has been argued theoretically and empirically that the analysis of business processes requires the decomposition of an integrated system. However, in order to innovate a business process, cognitive integration activities that try to understand the decomposed features of the business process as an integrated system are essential. This research aims at 1) empirically investigating the cognitive process of integrating multiple diagrams while using object-oriented methodologies in process modeling ; 2) identifying a cognitive integration strategy that supports the successful comprehension of business processes with the use of multiple diagrams ; and 3) proposing guidelines for developing supporting tools for effective business process engineering by using object-oriented process modeling.

• The Journal of Korean Association of Computer Education
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• v.20 no.2
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• pp.57-65
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• 2017

The world's senior population is on the rise. In particular, unlike the past seniors who were in the digital insensitivity class, the smart seniors who want to continue to use smart devices and the Internet are emerging. Although the definition of senior is merely defined as a senior group, research on the characteristics of seniors has been done in psychology studies, but research using data based senior cognitive response is only at an early stage. In order to provide contents according to the cognitive characteristics of Smart Senior, there is a need to classify the cognitive characteristics of Smart Senior well. Therefore, this paper suggests a data - driven senior cognitive response modeling method that helps the enjoyment of culture for seniors through classification of cognitive responses to smart seniors.

• Journal of applied mathematics & informatics
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• v.29 no.5_6
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• pp.1295-1302
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• 2011

We present an analytic model of an unslotted opportunistic spectrum access (OSA) network and evaluate its performance such as interruption probability, service completion time, and throughput of secondary users. Numerical examples are given to show the performance of secondary users in cognitive networks. The developed modeling and analysis method can be used to evaluate the performance of various OSA networks.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.241-244
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• 1996

There is a growing tendency to consider organizational learning as a mechanism for improving organizations and the rate at which organizations learn becomes perceived as a source for attaining competitive advantage. The objective of this research is to present a two-phase(learning efficient, and learning-effective) organizational modeling methodology based on the cognitive-maps and agents concept, and to describe how the result of the modeling can be used in the organizational learning context.

• School Mathematics
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• v.6 no.2
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• pp.153-179
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• 2004

In this article, we classify the middleschool students' mathematical modeling activities with three types as following: perceptive activity, cognitive activity, and metacognitive activity. And we research model development process through the interaction of perceptive, cognitive, and metacognitive activities. We report three results of our case study as following: First, students understanded the context of the modeling tasks on the base of their own experience and constructed the tasks with perceptive activity operating tool. Second, students developed various models with reorganizing cognitive activity which think and reason about perceptive activity-based model. Third, students were able to create generalizable and reusable models through metacognitive activities. This study revealed that the possible contribution of modeling activity as following. Students are able to understand abstractive mathematical knowledge as connecting between realistic activity and abstractive activity.

• Korean Journal of Child Studies
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• v.30 no.4
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• pp.87-97
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• 2009

This study used Hierarchical Linear Modeling analysis to investigate the effects of individual self-regulated cognitive strategies and public education on middle school students' academic achievement. Participants were 6389 (boys 3287, girls 3102) middle school students from the 2005 data of the Korea Education Longitudinal Study. Results were as follows : (1) there were significant differences among different schools in middle school students' academic achievement, i.e. 20% of variance in English achievement and 15% of variance in mathematics achievement were explained by school differences. (2) Students' elaboration and meta-cognitive strategy influenced academic achievement positively. (3) Predictor variables by ability grouping, supplementary class, and/or self-learning class had no significant effects on students' academic achievement.

• Journal of Korean Biological Nursing Science
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• v.20 no.4
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• pp.221-227
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• 2018

Purpose: This study aimed to evaluate the effect of illness perception on depression and quality of life in patients with hemodialysis. Methods: This is a cross-sectional study using structural equation modeling. Depression, quality of life and cognitive and emotional illness perceptions were measured by the Center for Epidemiologic Studies Depression-10 (CESD-10), Short Form-36 version 2 (SF-36v2), and Brief Illness Perception Questionnaire (BIPQ) in 272 hemodialysis patients. Results: Prevalence of depression was 76.1%, and higher in female patients on hemodialysis. Cognitive illness perception had effect on depression and quality of life, while emotional illness perception had effect only on depression. Quality of life was explained 69.6% through depression (${\beta}=-.74$, t= -8.17) and cognitive illness perceptions (${\beta}=.21$, t= 3.06), while depression was explained 40.5% through cognitive (${\beta}=-.34$, t= -5.99) and emotional (${\beta}=.59$, t= 9.37) illness perceptions. Conclusion: In the inevitable choice of dialysis, illness perception could decrease depression and improve quality of life in hemodialysis patients.