2020, no. 1
THEORY & PRACTICE OF HIGHER SCHOOL

On method of evaluation quality of emergent training in disciplines of chemical profile based on calculation of negentropy

Olga V. Andryushkova, Natalia L. Zvereva

DOI 10.20339/am.01-20.071pp. 71–75UDC 37.09::5480 RUB

PDF

Bookmark

Abstract

Discussed are approaches to the system of evaluation of quality of emergent learning of chemical disciplines for non-chemical disciplines at university. The learning model used includes, in addition to lectures and seminars, mandatory laboratory workshop on the main sections of the course. In face-to-face training programs it is also proposed to use online support course, containing theoretical and reference materials, methodological recommendations for preparation for laboratory works, class tests, colloquiums, as well as tests on all topics for evaluation of self-preparation for classes. It is proposed to assess students’ learning achievements on the basis of calculation of integral indicator, i.e. negentropy, that takes into account all types of students’ activities, as well as external requirements to competences formation. Negentropy is calculated as the sum of all values of the criteria from first to third levels, taking into account their weights. Evaluation of criteria values is performed according to dichotomy principle or using fuzzy set algorithms.

References

  1. Modern digital educational space in the RF. Evaluation of quality of online-courses. URL: http://neorusedu.ru/activity/otsenka-kachestva-online-kursov

    neorusedu.ru
  2. Tikhomirov, V.P. Methods of evaluation of quality of electronic education/ URL: http//:studydoc.ru/doc/4976682/metody-ocenki-kachestvae-lektronnogo-obucheniya-tihomirov-v.p.

  3. Grinshkun, V.V., Krasnova, G.A. Evaluation of quality of electronic education: approaches, models, criteria. Vestnik MGPU. 2018. No. 1 (43). P. 16–23.

  4. Andreev, A.A. Qualityofonline-education. In: Electronic education in continuous education. Ulyanovsk, 2017. P. 340–344.

  5. Andryuskova, O.V., Andreev, A.A. Optimization of number criteria of quality of electronic, combined and emergent education. In: Natural scientific education: problems of evaluation of quality. Moscow, 2018. P. 206–220.

  6. Arkhangelskaya, O.V., Zvereva, N.L., Kerimov, E.Yu. Rating system for evaluation of results of training at higher school. In: Actual problems of education in chemistry. Penza, 2013. P. 39–45.

  7. Kabanova, E.G., Ptashkina, E.A., Andryushkova, O.V., Budanova, A.A., Zhmurko, G.P. Administration of motivation by using of elements of electronic education and ball-rating system. In: Natural scientific education: educational technologies at higher and medium school. Moscow, 2019. P. 192–207.

  8. Andryushkova, O.V., Grigoriev, S.G. Calculation of negentrop and weight coefficients of many-criteria marks on the base of indistinct multitudes. Informatic and education. 2019. No. 1 (300). P. 40–49.

  9. National psychological encyclopedia. URL: https://vocabulary.ru/termin/sposobnost-k-obucheniyu.html

    vocabulary.ru
  10. Starovoytenko, E.B. Psychology of personality in paradigm of life relations. Moscow, 2004.

  11. Yung, K.G. Psychological types. Moscow, 1995.

  12. Shtovba, S.D. Introduction into the theory of indistinct multitudes and indistinct logic. URL: http://matlab.exponenta.ru/fuzzylogic/book1/6.php

    matlab.exponenta.ru
  13. Vostroknutov, I., Kaneda, Y. The Possibilities of Using Modern CASIO CG-50 Graphing Calculators for Volumetric and Complex Calculations, Including Fuzzy Calculations. 2018. Vol. 896. P. 702–708.

  14. Tsvetkov, V.Ya. Emergentisme. URL: https://applied-research.ru/ru/article/view?id=11234

    applied-research.ru