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Year 2021, Volume: 10 Issue: 1, 10 - 23, 30.04.2021

Abstract

References

  • V. I. Agoshkov, J. P. Puel, Mathematical models of life support systems, Volume I, Oxford, United Kingdom, 2009.
  • L. Verschaffel, B. Greer, E. De Corte, Everyday knowledge and mathematical modelling of school word problems, Springer, Dordrecht, 2002.
  • T. Malthus, An Essay on the Principle of Population, London, 1798.
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  • M. Pingle, Introducing Dynamic Analysis Using Malthus’s Principle of Population, Journal of Economic Education, 34(1), (2003) 3-20.
  • M. F. Brilhante, M. I. Gomes, D. Pestana, Extensions of Verhulst model in population dynamics and extremes, Chaotic Modeling and Simulation, 4, (2012) 575–591.
  • Y. Sekerci, S. Petrovskii, Mathematical modelling of spatiotemporal dynamics of oxygen in a plankton system, Mathematical Modelling of Natural Phenomena, 10(2), (2015) 96–114.
  • E. A. Bender, An Introduction to Mathematical Modelling, Dover Publications, New York, 2012.
  • S. Thomson, J. Lokan, L. Stephen, J. Ainley, Lessons from the Third International Mathematics and Science Study, Australian Council for Educational Research (ACEReSearch), 2003.
  • I. Raza, Factors affecting adoption of educational discipline and satisfaction level among higher education students, Journal of Education and Educational Development, 3(1), (2016) 100–122.
  • K. Leithwood, D. Jantzi, The effects of transformational leadership on organisational conditions and student engagement, Journal of Educational Administration, 38(2), (2000) 112–129.

A Mathematical Modelling of Success in Education

Year 2021, Volume: 10 Issue: 1, 10 - 23, 30.04.2021

Abstract

In this study, to determine the value of success within any time interval or specified time intervals, a mathematical model has been developed by taking into account “Discipline Factors”, “Teacher Factors”, “Negative Factors” and “Student Factors” as factors affecting the success of the student, class or school, positively or negatively. These factors, determining the value of success, which are the parameters of the mathematical model, was defined as real-valued linear functions, considering internal and external influences and any interventions and with the help of these functions, situations in which success is increasing, decreasing, or stable in a time interval examined by this model.

References

  • V. I. Agoshkov, J. P. Puel, Mathematical models of life support systems, Volume I, Oxford, United Kingdom, 2009.
  • L. Verschaffel, B. Greer, E. De Corte, Everyday knowledge and mathematical modelling of school word problems, Springer, Dordrecht, 2002.
  • T. Malthus, An Essay on the Principle of Population, London, 1798.
  • P. F., Verhulst, Notice sur la loique la populationsuit dans son accroissment, Correspodance Mathematique et Physique, 10, (1838) 113–12.
  • M. Pingle, Introducing Dynamic Analysis Using Malthus’s Principle of Population, Journal of Economic Education, 34(1), (2003) 3-20.
  • M. F. Brilhante, M. I. Gomes, D. Pestana, Extensions of Verhulst model in population dynamics and extremes, Chaotic Modeling and Simulation, 4, (2012) 575–591.
  • Y. Sekerci, S. Petrovskii, Mathematical modelling of spatiotemporal dynamics of oxygen in a plankton system, Mathematical Modelling of Natural Phenomena, 10(2), (2015) 96–114.
  • E. A. Bender, An Introduction to Mathematical Modelling, Dover Publications, New York, 2012.
  • S. Thomson, J. Lokan, L. Stephen, J. Ainley, Lessons from the Third International Mathematics and Science Study, Australian Council for Educational Research (ACEReSearch), 2003.
  • I. Raza, Factors affecting adoption of educational discipline and satisfaction level among higher education students, Journal of Education and Educational Development, 3(1), (2016) 100–122.
  • K. Leithwood, D. Jantzi, The effects of transformational leadership on organisational conditions and student engagement, Journal of Educational Administration, 38(2), (2000) 112–129.
There are 11 citations in total.

Details

Primary Language English
Subjects Applied Mathematics
Journal Section Articles
Authors

Mustafa Kandemir 0000-0003-3212-8976

Publication Date April 30, 2021
Published in Issue Year 2021 Volume: 10 Issue: 1

Cite

APA Kandemir, M. (2021). A Mathematical Modelling of Success in Education. Journal of New Results in Science, 10(1), 10-23.
AMA Kandemir M. A Mathematical Modelling of Success in Education. JNRS. April 2021;10(1):10-23.
Chicago Kandemir, Mustafa. “A Mathematical Modelling of Success in Education”. Journal of New Results in Science 10, no. 1 (April 2021): 10-23.
EndNote Kandemir M (April 1, 2021) A Mathematical Modelling of Success in Education. Journal of New Results in Science 10 1 10–23.
IEEE M. Kandemir, “A Mathematical Modelling of Success in Education”, JNRS, vol. 10, no. 1, pp. 10–23, 2021.
ISNAD Kandemir, Mustafa. “A Mathematical Modelling of Success in Education”. Journal of New Results in Science 10/1 (April 2021), 10-23.
JAMA Kandemir M. A Mathematical Modelling of Success in Education. JNRS. 2021;10:10–23.
MLA Kandemir, Mustafa. “A Mathematical Modelling of Success in Education”. Journal of New Results in Science, vol. 10, no. 1, 2021, pp. 10-23.
Vancouver Kandemir M. A Mathematical Modelling of Success in Education. JNRS. 2021;10(1):10-23.


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