Mathematical Modelling at a Glance: A Theoretical Study

Dündar, Sefa; Gökkurt, Burçin; SOYLU, Yasin

doi:10.1016/j.sbspro.2012.06.086

Cited by 27 publications

(25 citation statements)

References 11 publications

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“…[4] x Öğretmen x Çiltaş [5] x Lisans x Çiltaş [6] x Lisans x Dede, Güzel [7] x Öğretmen x Dede, Güzel [8] x Öğretmen x Dede, Yılmaz [9] x Lisans x Dişbudak [10] x İlköğretim x Doruk [11] x İlköğretim x Doruk [12] x İlköğretim x Doruk [13] x İlköğretim x Durmuş [14] x Lisans x Dündar vd. [15] x Teorik x Eraslan [16] x Lisans x Eraslan [17] x Lisans x Erbaş vd. [18] x Teorik x Güder [19] x Öğretmen x Güzel, Uğurel [20] x Lisans x Hıdıroğlu, Güzel [21] x Lisans x Hıdıroğlu, Güzel [22] x Teorik x Kaf [23] x İlköğretim x Kal [24] x İlköğretim x Karalı [25] x Lisans x Kertil [26] x Lisans x Keskin [27] x Lisans x Olkun vd.…”

Section: Modelleme Yaklaşımı A)gerçekçiunclassified

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The Content Analysis of Mathematical Modelling Studies in Turkey: A Meta-synthesis Study

Aztekin

Şener

2015

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Section: Modelleme Yaklaşımı A)gerçekçiunclassified

“…Araştırmacılar epistemolojik yaklaşım alt temasında modelleme ile ilişkilendirilen teorileri inceleyen ve karşılaştıran çalışmaları ele almışlardır. Bu çerçevede değerlendirilebilecek sadece 2 çalışma ile karşılaşılmıştır ( [15], [18]). …”

Section: Grafik2 çAlışmaların Metodolojilerine Göre Dağılımıunclassified

The Content Analysis of Mathematical Modelling Studies in Turkey: A Meta-synthesis Study

Aztekin

Şener

2015

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“…The presence of mathematical modelling competency is an important component in mathematics that embraces arithmetic, algebra, geometry, and calculus (Dundar, Gokkurt, & Soylu, 2012). Mathematical modelling competency allows students to have ability of identifying, mathematizing, interpreting and validating, as well as the capability of making analysis or comparison (Blomhoej & Jensen, 2003;Blum, Galbraith, Henn, & Niss, 2007;Maaß, 2006).…”

mentioning

confidence: 99%

Does Mastery of Goal Components Mediate the Relationship between Metacognition and Mathematical Modelling Competency?

2018

EDUC SCI-THEOR PRACT

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Prior studies suggested close correlations among metacognition, mastery goal, and mathematical modelling competency. The present study examines the relationship between metacognition and mastery goal that may influence mathematical modelling competency. The current study employs 538 students of a mathematics education program; among these students, 483 (89.8%) are males and 55 (10.2%) are females, aged from 18 to 22 years old. The study follows a correlational research design to investigate and measure the degree of relationship among mathematical modelling competencies, mastery goal, and metacognition. Findings indicate that mastery goal positively affects mathematical modelling competency. SEM analysis indicates significant and positive influence of task-and self-approach goals on mathematical modelling competency, whereas taskavoidance goals are significantly and negatively related to mathematical modelling competency. By contrast, self-avoidance goals did not affect mathematical modelling competency. Task-approach goal is a positive partial mediator, task-avoidance goal is a negative partial mediator, self-approach goal is a positive full mediator, and self-avoidance goal is not a mediator between metacognition and mathematical modelling competency. In conclusion, metacognition positively affects the mathematical modelling competency of students, which is influenced by task-approach, task-avoidance, and self-approach goal but not self-avoidance goal.

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“…This relationship is presented in Figure 6. The particle shape depicted in Figure 6 is spherical; carbon black, as an example of spherical particle, finds it very difficult to create conducting channels as the diameter increases [1].…”

Section: Factors Affecting the Electrical Conductivity Of Polymer mentioning

confidence: 99%

“…The use of formulated mathematical equations to design, investigate, and predict physical, or chemical state of a process, based on the properties of systems, is called modeling. Models are products of scientific investigation formulated into equations which can be solved analytically or numerically [1]. The promising state of polymer-composites (PCs) will obviously take the entire globe to the next level of technological growth, if properly researched.…”

Section: Introductionmentioning

confidence: 99%

Parametric Analysis of Electrical Conductivity of Polymer-Composites

et al. 2019

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The problem associated with mixtures of fillers and polymers is that they result in mechanical degradation of the material (polymer) as the filler content increases. This problem will increase the weight of the material and manufacturing cost. For this reason, experimentation on the electrical conductivities of the polymer-composites (PCs) is not enough to research their electrical properties; models have to be adopted to solve the encountered challenges. Hitherto, several models by previous researchers have been developed and proposed, with each utilizing different design parameters. It is imperative to carry out analysis on these models so that the suitable one is identified. This paper indeed carried out a comprehensive parametric analysis on the existing electrical conductivity models for polymer composites. The analysis involves identification of the parameters that best predict the electrical conductivity of polymer composites for energy storage, viz: (batteries and capacitor), sensors, electronic device components, fuel cell electrodes, automotive, medical instrumentation, cathode scanners, solar cell, and military surveillance gadgets applications. The analysis showed that the existing models lack sufficient parametric ability to determine accurately the electrical conductivity of polymer-composites.

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Mathematical Modelling at a Glance: A Theoretical Study

Cited by 27 publications

References 11 publications

The Content Analysis of Mathematical Modelling Studies in Turkey: A Meta-synthesis Study

The Content Analysis of Mathematical Modelling Studies in Turkey: A Meta-synthesis Study

Does Mastery of Goal Components Mediate the Relationship between Metacognition and Mathematical Modelling Competency?

Parametric Analysis of Electrical Conductivity of Polymer-Composites

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