Geodesic
Methodology of teaching the basics of artificial intelligence in the school course of computer science
Čebyševskij sbornik, Tome 24 (2023) no. 1, pp. 276-293

Voir la notice de l'article provenant de la source Math-Net.Ru

In paper discusses a methodical approach to the study of the elements of the artificial intelligence system in the school course of informatics. This topic is relevant in today's world. The article presents the structure and content of intelligent systems and technologies as a new section of the general education course in informatics. AI is explored in various ways, including a detailed description of AI as a subject and as a learning tool. The formation of students' digital skills occurs through the creation and use of intelligent algorithms. The use of virtual and augmented reality technologies in the educational process is also considered. Particular attention is paid to the use of augmented reality technology on platforms such as Argin and Metaverse Studio. The process of teaching the elements of AI in the school course of computer science is considered variably, corresponding to the direction of the profile training of students. A system of tasks with different levels of difficulty is used as a means to develop digital skills. A three-level complexity of tasks is proposed, where students, depending on the level of preparedness, choose the task that suits them. The article provides sample tasks with solutions for the profile class of the IT direction. They are given from the field of an expert system, a database analysis system, modeling, as well as a search task for a suitable piece of land that meets the required conditions on a geographic information systems platform. The paper notes that in the school course of computer science it is necessary to include a separate section on intellectual technology and systems, to modernize the criteria for achieving educational results in teaching computer science, corresponding to profile training, and to introduce new criteria for the effectiveness of training.
Keywords: system, technology, artificial intelligence, structure, content, education, secondary school. 
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     title = {Methodology of teaching the basics of artificial intelligence in the school course of computer science},
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M. S. Mirzoev; A. I. Nizhnikov. Methodology of teaching the basics of artificial intelligence in the school course of computer science. Čebyševskij sbornik, Tome 24 (2023) no. 1, pp. 276-293. http://geodesic.mathdoc.fr/item/CHEB_2023_24_1_a21/