Science for Education Today, 2023, vol. 13, no. 2, pp. 123–144
UDC: 
371+51.77

Refined and supplemented author's criterion for the study of dependent and independent samples in the field of experimental sciences (with the focus on education)

Zhafyarov A. Z. 1 (Novosibirsk, Russian Federation)
1 Novosibirsk State Pedagogical University, Novosibirsk, Russian Federation
Abstract: 

Introduction. The article is devoted to the triune system: 1) the selection of primary information about the problem under study; 2) the principle of comparing pairs of samples; 3) the criterion for determining a promising technology among competing ones. It is a continuation of the author’s previous research. The work is directly related to the research of samples in the field of experimental sciences and deals with education.
Materials and Methods. The methodology for solving the problem of creating a triune system (selection - comparison - criterion) is a systematic analysis of the shortcomings of functioning criteria and the use of a cluster approach.
Results. A mathematical complex (MC) has been developed containing the following components: matrix models that take into account the academic performance and personal development of students and allow to collect first–hand information about students’ activities; a new system for comparing the results of the application of innovations and the criterion of the author of QL: free from all the shortcomings of the predecessor criteria, with no restrictions on the number of students and categories; contributing to the identification of the best technologies among competing; reducing the volume of theory tenfold, which gives significant savings in time and finances, and its consistency attracts professionals. All this is achieved due to the fact that the QL criterion is two-parameter, unlike the one-parameter criteria, they do not have access to about 50% of the information about the problem under study.
Conclusions The implementation of a mathematical complex in the scientific and educational processes not only contributes to the selection of an appropriate technology among competing ones, but also solves the problem of predicting the direction of changes in "improvement – deterioration" system. The transition to a single and consistent quality of life criterion enhances the accessibility and attractiveness of this criterion, does not frighten or repel teachers and academic staff– who are the main consumers of research results and active participants in the process of improving the quality of education.

Keywords: 

One-parameter criteria; Two-parameter criteria; Dependent samples; Independent samples; Matrix; Matrix model; Mean; Variance; Corrected variance.

For citation:
Zhafyarov A. Z. Refined and supplemented author's criterion for the study of dependent and independent samples in the field of experimental sciences (with the focus on education). Science for Education Today, 2023, vol. 13, no. 2, pp. 123–144. DOI: http://dx.doi.org/10.15293/2658-6762.2302.06
References: 
  1. Zhafyarov A. Zh. Refined mathematical methods for processing the results of pedagogical research and statistical data: monography. Novosibirsk: Publishing house of NGPU, 2021. 219 p.
  2. Zhafyarov A. Z. Models and criteria for monitoring the quality of education. Science for Education Today, 2021, vol. 11 (4), pp. 136–154. DOI: http://dx.doi.org/10.15293/2658-6762.2104.07
  3. Ashilova M. S., Begalinov A. S., Latuha O. A., Pushkarev Yu. V., Begalinova K. K., Pushkareva E. A. Prospects of the post-digital university: analysis of program documents in the field of education. Russian Journal of Regional Studies, 2022, vol. 30 (3), pp. 698–720. DOI: https://doi.org/10.15507/2413-1407.120.030.202203.698-720 URL: https://www.elibrary.ru/item.asp?id=49467874
  4. Judrups J., Zandbergs U., Arhipova I., Vaisnore L. Architecture of a competence – based human resource development solution. Procedia Computer Science, 2015, vol. 77, pp. 184–190. DOI: https://doi.org/10.1016/j.procs.2015.12.382 
  5. Lauermann F., König J. Teachers’ professional competence and wellbeing: Understanding the links between general pedagogical knowledge, self-efficacy and burnout. Learning and Instruction, 2016, vol. 45, pp. 9–19. DOI: https://doi.org/10.1016/j.learninstruc.2016.06.006
  6. Miranda S., Orciuoli F., Loia V., Sampson D. An ontology-based model for competence management. Data and Knowledge Engineering, 2017, vol. 107, pp. 51–66. DOI: https://doi.org/10.1016/j.datak.2016.12.001
  7. Rezgui K., Mhiri H., Ghédira K. Ontology-based e-Portfolio modeling for supporting lifelong competency assessment and development. Procedia Computer Science, 2017, vol. 112, pp. 397–406. DOI: https://doi.org/10.1016/j.procs.2017.08.041    
  8. Ivinskaya E. Y., Nikitin A. A., Markovichev A. S., Zhafyarov A. Z., Milinis O. A., Zhukov G. N., Sinenko V. Y., Mavrina I. A. Development of competitive relations in the Russian market of educational services. International Review of Management and Marketing, 2016, vol. 6 (1), pp.  65–69. URL: https://www.elibrary.ru/item.asp?id=26830068
  9. Balykbayev T., Bidaibekov E., Grinshkun V., Kurmangaliyeva N. The influence of interdisciplinary integration of information technologies on the effectiveness of it training of future teachers. Journal of Theoretical and Applied Information Technology, 2022, no. 5, pp. 1265–1274. URL: https://www.elibrary.ru/item.asp?id=48424171
  10. Bergsmann E., Schultes M.-Th., Winter P., Schober B., Spiel Ch. Evaluation of competence-based teaching in higher education: From theory to practice. Evaluation and Program Planning, 2015, vol. 52, pp. 1–9. DOI: https://doi.org/10.1016/j.evalprogplan.2015.03.001
  11. Brevik L. M., Gudmundsdottir G. B., Lund A., Strømme T. A. Transformative agency in teacher education: Fostering professional digital competence. Teaching and Teacher Education, 2019, vol. 86, pp. 102875. DOI: https://doi.org/10.1016/j.tate.2019.07.005
  12. Schipper T., Goei S. L., de Vries S., van Veen K. Professional growth in adaptive teaching competence as a result of Lesson Study. Teaching and Teacher Education, 2017, vol. 68, pp.  289–303. DOI: https://doi.org/10.1016/j.tate.2017.09.015
  13. Stefanutti L., de Chiusole D. On the assessment of learning in competence based knowledge space theory. Journal of Mathematical Psychology, 2017, vol. 80, pp. 22–32. DOI: https://doi.org/10.1016/j.jmp.2017.08.003 
  14. Aleshinskaya E., Albatsha A. A cognitive model to enhance professional competence in computer science. Procedia Computer Science, 2020, vol. 169, pp. 326–329. DOI: https://doi.org/10.1016/j.procs.2020.02.191
  15. Guerrero Chanduví D. A., Girón Escobar C., Jara Gallo D., Cruz Alayza V. Analysis of the intellectual structure of scientific papers about professional competences related to organizational psychology. Procedia – Social and Behavioral Sciences, 2016, vol. 226, pp. 286–293. DOI: https://doi.org/10.1016/j.sbspro.2016.06.190
  16. Instefjord E. J., Munthe E. Educating digitally competent teachers: A study of integration of professional digital competence in teacher education. Teaching and Teacher Education, 2017, vol. 67, pp. 37–45. DOI: https://doi.org/10.1016/j.tate.2017.05.016
  17. Cheetham G., Chivers G. The reflective (and competent) practitioner: A model of professional competence which seeks to harmonise the reflective practitioner and competence-based approaches. Journal of European Industrial Training, 1998, vol. 22 (7), pp. 267–276. DOI: https://doi.org/10.1108/03090599810230678   
  18. Bilal, Guraya S. Y., Chen S. The impact and effectiveness of faculty development program in fostering the faculty’s knowledge, skills, and professional competence: A systematic review and meta-analysis. Saudi Journal of Biological Sciences, 2019, vol. 26, pp. 688–697. DOI: https://doi.org/10.1016/j.sjbs.2017.10.024
  19. Pijl-Zieber E. M., Barton S., Konkin J., Awosoga O., Caine V. Competence and competency-based nursing education: Finding our way through the issues. Nurse Education Today, 2014, vol. 34 (5), pp. 676–678. DOI: https://doi.org/10.1016/j.nedt.2013.09.007
  20. Gravina E. W. Competency-based education and its effect on nursing education: A literature review. Teaching and Learning in Nursing, 2017, vol. 12 (2), pp. 117–121. DOI: https://doi.org/10.1016/j.teln.2016.11.004
  21. Zhafyarov A. Zh. New mathematical statistics for processing the results of pedagogical research and statistical data: monography. Novosibirsk: Publishing house of NGPU, 2022. 143  p.
  22. Zhafyarov A. Z. Criteria for studying dependent and independent samples in the field of education. Science for Education Today, 2022, vol. 12, no. 3, pp. 69–91. DOI: http://dx.doi.org/10.15293/2658-6762.2203.04

 

Date of the publication 30.04.2023