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Bulletin of Abai KazNPU. Series of Physical and mathematical sciences

STRUCTURAL AND LOGICAL MODEL OF DEVELOPMENT OF PROFESSIONAL COMPETENCE OF FUTURE TEACHERS OF COMPUTER SCIENCE TO LEARNING COMPUTATIONAL INFORMATICS

Published September 2020

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G.B Kamalova+
Abai Kazakh National Pedagogical University, Almaty
M.I Revshenova+
Abai Kazakh National Pedagogical University, Almaty
Abai Kazakh National Pedagogical University, Almaty
Abai Kazakh National Pedagogical University, Almaty
Abstract

In order to reveal the structure of the process of developing the professional competence of a future computer science
teacher when teaching computer science, we will use modeling as a method of cognition of complex objects, processes
and phenomena. In order to develop the professional competence of a future computer science teacher in the process of
teaching computer science, a structural and logical model was developed.
This article is devoted to the creation of a structural and logical model for the development of professional competence
of future computer science teachers in the process of teaching computer science at a pedagogical University. The
developed model includes a target, content, organizational-activity, and performance-criteria block. The methodological
basis for designing a structural and logical model for the development of information and computing competence of a
future computer science teacher was the system, activity, and competence approaches. Each block of the structural and
logical model has functions, content, and methodological features. The levels of formation of information and computing
competence of future computer science teachers are represented by low, medium and high levels.

pdf (Русский)
Language

Русский

How to Cite

[1]
Kamalova Г. and Revshenova М. 2020. STRUCTURAL AND LOGICAL MODEL OF DEVELOPMENT OF PROFESSIONAL COMPETENCE OF FUTURE TEACHERS OF COMPUTER SCIENCE TO LEARNING COMPUTATIONAL INFORMATICS. Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 71, 3 (Sep. 2020), 225–229. DOI:https://doi.org/10.51889/2020-3.1728-7901.34.