A structural model for building a system for the development of methodological competence and methods for evaluating its effectiveness
DOI:
https://doi.org/10.15587/1729-4061.2023.289045Keywords:
structural model, information system, assessment of methodological competencies, microservicesAbstract
The paper develops a structural model for building a system for developing methodological competence. The structural model is built based on a service-oriented approach to developing large software complexes and includes six subsystems. Each subsystem is implemented as a separate microservice, which allows system scaling. The paper describes a technique that allows you to build a teacher’s competency map and evaluate its eight components: cognitive, didactic, project, informational, communication, reflective, monitoring, and personal-motivational. A four-level scale is proposed for assessing the level of competencies. A methodology for evaluating the effectiveness of the methodical competence development system based on the hierarchical expert method has been developed. The system was verified and implemented. According to the results of the system implementation, the intensification of the educational process and the improvement of the training quality of students were recorded. Students’ success in studying subjects has increased significantly. Namely, the number of bad students has decreased by 15 %, the number of «excellent» students has increased by 10 %, and the number of «good» students has increased by 18 %.
The paper touches upon creating information technologies adequate for improving the higher education system. The goal is the targeted development and implementation of information technologies in educational institutions and the creation and operation of integrated, flexible software to support a mixed system for organizing the educational process, as well as increasing the efficiency of implementing a mixed system for organizing the educational process.
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Copyright (c) 2023 Andrii Biloshchytskyi, Serik Omirbayev, Aidos Mukhatayev, Oleksandr Kuchanskyi, Svitlana Biloshchytska, Yurii Andrashko, Sapar Toxanov, Adil Faizullin
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