Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-research and extracurricular activities

Problem statement . The mandatory study of the basics of artificial intelligence and data analysis in general education course of informatics is a significant innovation that requires adjusting methodological system of teaching informatics at school. The article presents the results of research on t...

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Main Authors: Sergey D. Karakozov, Nadezhda N. Samylkina
Format: Article
Language:English
Published: Peoples’ Friendship University of Russia (RUDN University) 2024-12-01
Series:RUDN Journal of Informatization in Education
Subjects:
Online Access:https://journals.rudn.ru/informatization-education/article/viewFile/42729/24468
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author Sergey D. Karakozov
Nadezhda N. Samylkina
author_facet Sergey D. Karakozov
Nadezhda N. Samylkina
author_sort Sergey D. Karakozov
collection DOAJ
description Problem statement . The mandatory study of the basics of artificial intelligence and data analysis in general education course of informatics is a significant innovation that requires adjusting methodological system of teaching informatics at school. The article presents the results of research on the problem of designing trajectories of variant teaching of the basics of artificial intelligence and data analysis in the course of computer science of basic general and secondary general education in accordance with the requirements of the updated FSES of general education on the basis of current methodological approaches, taking into account the possibilities of project-research and extracurricular activities. Methodology. Theoretical methods of research were used: analysis of scientific publications on the subject of artificial intelligence and data analysis, analysis and comparison of materials of foreign educational standards of different levels of education, review of domestic practices of implementation of the results of pedagogical research on the methodology of teaching computer science on the basis of integrative methodological approach. Results. On the basis of the proposed components of the methodology of teaching artificial intelligence basics and data analysis, the possibilities of designing different learning trajectories in accordance with personal requests of participants of educational relations, as well as for the rational use of resources of the information educational environment of the organization in the implementation of basic educational programs of general education are shown. Conclusion. Designing trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science, taking into account the possibilities of project-research and extracurricular activities, allows to optimize needs of students and resources of educational organizations.
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institution Kabale University
issn 2312-8631
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publishDate 2024-12-01
publisher Peoples’ Friendship University of Russia (RUDN University)
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spelling doaj-art-545d8823d0de48559a03d7c3bcd46d392025-02-06T09:06:32ZengPeoples’ Friendship University of Russia (RUDN University)RUDN Journal of Informatization in Education2312-86312312-864X2024-12-0121444846410.22363/2312-8631-2024-21-4-448-46421045Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-research and extracurricular activitiesSergey D. Karakozov0https://orcid.org/0000-0001-8151-8108Nadezhda N. Samylkina1https://orcid.org/0000-0003-0797-5532Moscow Pedagogical State UniversityMoscow Pedagogical State UniversityProblem statement . The mandatory study of the basics of artificial intelligence and data analysis in general education course of informatics is a significant innovation that requires adjusting methodological system of teaching informatics at school. The article presents the results of research on the problem of designing trajectories of variant teaching of the basics of artificial intelligence and data analysis in the course of computer science of basic general and secondary general education in accordance with the requirements of the updated FSES of general education on the basis of current methodological approaches, taking into account the possibilities of project-research and extracurricular activities. Methodology. Theoretical methods of research were used: analysis of scientific publications on the subject of artificial intelligence and data analysis, analysis and comparison of materials of foreign educational standards of different levels of education, review of domestic practices of implementation of the results of pedagogical research on the methodology of teaching computer science on the basis of integrative methodological approach. Results. On the basis of the proposed components of the methodology of teaching artificial intelligence basics and data analysis, the possibilities of designing different learning trajectories in accordance with personal requests of participants of educational relations, as well as for the rational use of resources of the information educational environment of the organization in the implementation of basic educational programs of general education are shown. Conclusion. Designing trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science, taking into account the possibilities of project-research and extracurricular activities, allows to optimize needs of students and resources of educational organizations.https://journals.rudn.ru/informatization-education/article/viewFile/42729/24468personal learning trajectoriesartificial intelligencedata analysismethodology of variant training in the basics of artificial intelligenceintegrative approachupdated fses of general education
spellingShingle Sergey D. Karakozov
Nadezhda N. Samylkina
Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-research and extracurricular activities
RUDN Journal of Informatization in Education
personal learning trajectories
artificial intelligence
data analysis
methodology of variant training in the basics of artificial intelligence
integrative approach
updated fses of general education
title Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-research and extracurricular activities
title_full Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-research and extracurricular activities
title_fullStr Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-research and extracurricular activities
title_full_unstemmed Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-research and extracurricular activities
title_short Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-research and extracurricular activities
title_sort designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project research and extracurricular activities
topic personal learning trajectories
artificial intelligence
data analysis
methodology of variant training in the basics of artificial intelligence
integrative approach
updated fses of general education
url https://journals.rudn.ru/informatization-education/article/viewFile/42729/24468
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AT nadezhdansamylkina designingthetrajectoriesofvariantteachingofthebasicsofartificialintelligenceintheschoolcourseofcomputersciencetakingintoaccountthepossibilitiesofprojectresearchandextracurricularactivities