Self-education as a leading trajectory for training finalists of the second All-Russian Olympiad in Artificial Intelligence for schoolchildren-Reference-Cited by-同舟云学术

Self-education as a leading trajectory for training finalists of the second All-Russian Olympiad in Artificial Intelligence for schoolchildren

Published:2023-11-17 Issue:5 Volume:38 Page:45-56
ISSN:2658-7769
Container-title:Informatics and education
language:
Short-container-title:Informatika i obrazovanie

Author:

Trubina I. I.¹^ORCID

Affiliation:

1. Institute for Strategy of Education Development

Abstract

The article presents the analysis of survey of finalists of the second All-Russian Olympiad in Artificial Intelligence for schoolchildren, held in the fall of 2022. The hypothesis of the study was the assumption of the leading role of self-education of schoolchildren in the field of studying intellectual technologies at the present stage.Analyzing the answers of the finalists, we determined that basic knowledge in four subjects of the general education cycle (mathematics, computer science, physics, and English) forms the basis for self-education in the process of preparation for the Olympiad. When solving new tasks for oneself, along with the assimilation of concepts and generalized methods of action, the student changes, transforming into a subject of educational activity.We have formed a rating of factors that helped the finalists in preparing for the finals of the Olympiad. The finalist’s awareness of their educational preferences allows them to build cognitive strategy, which is understood as the fulfillment of a specific set of tasks and a sequence of aimed at achieving an educational goal. The success of the self-educational trajectory is ensured by the observance of three principles of its implementation: obtaining high-quality subject knowledge, transforming the Olympiad finalist into a subject of educational activity, and building an individual strategy of self-determination.

Publisher

Publishing House Education and Informatics

Subject

General Medicine

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