Qualimetric approach to dynamic evaluation of educational activities according to facet classification of the english language tenses | Научно-инновационный портал СФУ

Qualimetric approach to dynamic evaluation of educational activities according to facet classification of the english language tenses

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 4th International Conference on Informatization of Education and E-Learning Methodology: Digital Technologies in Education, IEELM-DTE 2020

Год издания: 2020

Ключевые слова: actiogram, adaptation, dynamic assessment, educational activity, entropy, labor intensity, procedural characteristics, qualimetry

Аннотация: On the basis of the developed facet dynamic adaptive tests-simulators, there were obtained protocols of educational actions numerical evaluation on facet classification of English language tenses, for a random sample of 150 students. Testees are taught the facet classification of puzzles with sentences in English in a randomized puzzle electronic problem environment, in the conditions of numerical reinforcements of the actions of a testee: + 1 correct; - 1 incorrect actions. A self-consistent change in the relative frequency of reinforcements helps to adapt and increase the level of autonomy of testees. The qualification approach to the dynamic evaluation of the educational activity protocols made it possible to specify three groups of testees: those who have achieved the state of autonomous educational activity; approaching the state of autonomous educational activities; with insufficient training in foreign languages or with "trained" helplessness to bilingual activities. Copyright © 2020 for this paper by its authors.

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Издание

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 2770

Номера страниц: 187-195

ISSN журнала: 16130073

Издатель: CEUR-WS

Авторы

  • Noskov M. (Siberian Federal University, ul. Akademika Kirenskogo, 26k1, Krasnoyarsk, 660074, Russian Federation)
  • Dyachuk P. (Siberian Federal University, ul. Akademika Kirenskogo, 26k1, Krasnoyarsk, 660074, Russian Federation)
  • Peregudova I. (Siberian Federal University, ul. Akademika Kirenskogo, 26k1, Krasnoyarsk, 660074, Russian Federation)
  • Denisenko O. (Siberian Federal University, ul. Akademika Kirenskogo, 26k1, Krasnoyarsk, 660074, Russian Federation)

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