CALCULATION OF THE MINIMUM ENERGY VALUES OF THE THEORETICAL AND EXPERIMENTAL DATA BELONGING TO CANDIDATE SCIENCE TEACHERS ON THE SUBJECT OF PROCEDURAL KNOWLEDGE OF ELECTRICITY

Ismail Yilmaz

Abstract


In this study, we calculate the minimum energy values of candidate science teachers’ knowledge on the subject of electricity using 11 open-ended questions to measure their procedural knowledge. The goal is to enhance the teaching processes of candidate teachers by calculating the minimum amounts of energy that they consume, do not consume, and are expected to consume in the process of converting data into knowledge. It is important to know the energy that the people in the training process are spending or willing to spend, especially in getting information and measurement-evaluation. This energy will be calculated by information theories. In these calculations, energy equality of a biological unit will be used. The "bit" value in the energy calculations of the information theories will be determined by the VDOIHI statistical method. We find that candidate teachers’ energy consumption is focused on success, and that they should consume more energy in independent variables to ensure the permanence of this success by converting knowledge into understanding. Efficiency is of primary importance in energy planning, and can be enhanced in problem solving techniques by developing methods in accordance with energy plans that prescribe the volume of energy to be consumed in independent variables.

 

Article visualizations:

Hit counter

DOI

Keywords


knowledge’ energy, problem solving’ energy, procedural knowledge, success’ energy

Full Text:

PDF

References


Bradshaw J. M., Boose J. H., 1990. Decision Analysis Techniques for Knowledge Acquisition: Combining Information and Preferences Using Aquinas and Axotl. International Journal of Man-Machine Studies 32(2): 121-186.

Dover Y., 2004, A Short Account of a Connection of Power Laws to the Information Entropy. Physica A 334(3-4): 591-599.

Guan J. W., Bell D. A., 1998. Rough Computational Methods for Information Systems. Artificial Intelligence 105(1): 77-103.

Jaynes E. T., 1957a. Information Theory and Statistical Mechanics. in P. Zupanovic, D. Kuic, D. Juretic and A. Dobovisek (Eds), on The Problem of Formulating Principles in Nonequilibrium Thermodynamics. Entropy 12(4): 926-931.

Jaynes E. T., 1957b. Information Theory and Statistical Mechanics II. in P. Zupanovic, D. Kuic, D. Juretic and A. Dobovisek (2010), on The Problem of Formulating Principles in Nonequilibrium Thermodynamics. Entropy 12(4): 926-931.

Jaynes E. T., 1965. Gibbs and Boltzmann Entropies. American Journal of Physics 33(5): 391-398.

Jaynes E. T., 1982. On The Rationale of Maximum-Entropy Methods. in P. Zupanovic, D. Kuic, D. Juretic and A. Dobovisek (2010), on The Problem of Formulating Principles in Nonequilibrium Thermodynamics. Entropy 12(4): 926-931.

Masi M., 2007. On The Extended Kolmogorov–Nagumo Information-Entropy Theory, the Q →1/Q Duality and Its Possible Implications for a Non-Extensive Two-Dimensional Ising Model. Physica A 377(1): 67-78.

Mathai A. M., Haubold HJ, 2007. Pathway Model, Superstatistics, Tsallis Statistics, and a Generalized Measure of Entropy. Physica A 375(1): 110-122.

Mostaghimi M, 1997. Bayesian Estimation of a Decision Using Information Theory. IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans 27(4): 506-517.

Niven R. K., 2009. Combinatorial Entropies and Statistics. European Physical Journal B 70(1): 49-63.

Özenli S., 1999. İlmi sohbetler [scientific discussions]. Adana, Turkey, Karakuşlar Otomotiv Tic. ve San. Ltd. Şti.: p: F1.

Sanchez R., Grau R., 2005. A Genetic Code Boolean Structure. II. The Genetic Information System as a Boolean Information System. Bulletin of Mathematical Biology 67(5): 1017-1029.

Schneider T. D., 1991. Theory of Molecular Machines. II. Energy Dissipation From Molecular Machine. Journal of Theoretical Biology 148(1): 125-137.

Schneider T. D., 2010. 70% Efficiency of Bistate Molecular Machines Explained by Information Theory, High Dimensional Geometry and Evolutionary Convergence. Nucleic Acid Research 38(18): 5995-6006.

Shannon CE, Weaver W, 1949. The Mathematical Theory of Communication. Urbana, University of Illinois Press: p. 4.

Yılmaz I., 2017. Relationship of the cognitive functions of prospective science teachers and their knowledge, knowledge levels, success and success levels, International Journal of Educational Administration and Policy Studies, 9(4), 56-67.

doi: http://dx.doi.org/10.5897/IJEAPS2017.0499.

Yılmaz I, 2011. Fen Bilgisi Öğretmen Adaylarının Newton’un Hareket Yasalarını Öğrenmelerinde Kurallı Bilgiden Açıklayıcı Bilgiye Geçişte Karşılaştıkları Problemlerin Incelenmesi [An Analysis of The Problems That Science Teacher Candidates Face in The Transition From Procedural to Declarative Knowledge While Learning Newton’s Laws of Motion] (Unpublished Doctor’s Thesis). Gazi Universitesi, Eğitim Bilimleri Enstitüsü, Ankara, Turkey, 414012. http://tez2.yok.gov.tr/

Yılmaz I, Yalçın N., 2011. Probability and Possibility Calculation Statistics for Data Variables (VDOIHI); Statistical Methods for Combined Stage Percentage Calculation. International Online Journal of Educational Sciences 3(3): 957-979.

Zhao S. L., Wu J., 2011. Self-Consistent Equations Governing the Dynamics of Nonequilibrium Colloidal Systems. Journal of Chemical Physics 134(5): 054514.


Refbacks

  • There are currently no refbacks.


Copyright © 2015 - 2018. European Journal of Alternative Education Studies (ISSN 2501-5915) is a registered trademark of Open Access Publishing GroupAll rights reserved.

This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library (Biblioteca Nationala a Romaniei). All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms.

All the research works published on this journal are meeting the Open Access Publishing requirements and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License (CC BY 4.0).