Vol.9, No.3, August 2020.                                                                                                                                                                                ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Development of Foreign Language Teachers' Diagnostic Competence in the System of Military Education

 

Vasyl Yahupov, Olha Zastelo, Valentyna Svystun, Nataliia Korchynska, Olena Chorna, Viktoriia Krykun

 

© 2020 Olha Zastelo, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 9, Issue 3, Pages 1213-1220, ISSN 2217-8309, DOI: 10.18421/TEM93-49, August 2020.

 

Received: 31 March 2020.

Revised:   17 June 2020.
Accepted: 21 July 2020.
Published: 28 August 2020.

 

Abstract:

 

The article is dedicated to the problem of foreign language teachers' diagnostic competence development. It reveals the problematic issues connected with the obtaining integral estimates of students' foreign language communicative competence formation levels. The study presents a technology of integrated assessment based on the recent mathematical and statistical methods realized with the help of information and communication technologies. The first experiment proves the technology contributes to the accuracy and reliability of integral estimates by 9,1%. The second one assures that training teachers to use the technology improves their levels of diagnostic competence by 21,9% in average.

 

Keywords –teachers' diagnostic competence, integral estimate, mathematical and statistical methods, integrated assessment technology, artificial neural network.

 

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