Methodology of teaching the basics of artificial intelligence in the school course of computer science
https://doi.org/10.22405/2226-8383-2023-24-1-276-293
Abstract
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
About the Authors
Makhmasharif Saifovich Mirzoev
Moscow Pedagogical State University
Russian Federation
Russian Federation
doctor of pedagogical sciences, professor
Alexander Ivanovich Nizhnikov
Moscow Pedagogical State University
Russian Federation
Russian Federation
doctor of pedagogical sciences, candidate of physical and mathematical sciences, professor
References
1. G. I. StechniK. All about GIS and their applications. Available at: http://gistechnik.ru/
2. programmy-gis/ (accessed 27 January 2023).
3. Third Space Learning. Available at: https://thirdspacelearning.com/gcse-maths (accessed 27
4. January 2023).
5. Esayan A. R., Chubarikov V. N., Dobrovolsky N. M. 2006. Tvorcheskaya laboratoriya Mathematica
6. [Mathematica Creative Laboratory.] Uch. settlement. Izd-vo TGPU im. L. N. Tolstogo.
7. Tula. 272 p.
8. Esayan A. R., Chubarikov V. N., Dobrovolsky N. M. 2009. Mathcad v obuchenii informatike i
9. matematike. [Mathcad in teaching computer science and mathematics] Uch. pos. Izd-vo TGPU
10. im. L. N. Tolstogo. Tula. 363 p.
11. Esayan A.R., Dobrovolsky N.M˙ ., Sedova E.A., Yakushin A.V. 2017, Dinamicheskaya matematicheskaya
12. obrazovatel’naya sreda GeoGebra. [Dynamic mathematical educational environment
13. GeoGebra.]. Uch. pos. Izd-vo TGPU im. L. N. Tolstogo. Tula. 417 p.
14. Esayan A. R., Dobrovol’skii N. M. 2018, “User recursive functions in Maxima”„ Chebyshevskii
15. sbornik, vol. 19, no. 2. pp. 431–445. doi: 10.22405/2226-8383-2018-19-2-437-451.
16. Iskusstvennyy intellekt v obrazovanii: problemy i vozmozhnosti dlya ustoychivogo razvitiya
17. (2019) [Artificial intelligence in education: problems and opportunities for sustainable development]
18. Analitika. ROSKONGRESS., Available at: https://roscongress.org/materials/
19. iskusstvennyy-intellekt-v-obrazovanii-problemy-ivozmozhnosti-dlya-ustoychivogo-razvitiya/
20. (accessed 30 January 2023).
21. Iskusstvennyy intellekt v obrazovanii: perspektivy primeneniya v Rossii (2021) [Artificial intelligence
22. in education: prospects for application in Russia] RBK Trendy Available at:
23. https://trends.rbc.ru/trends/education/5d6beaea9a7947a1c1fe9152 (accessed 30 January
24. .
25. Korovnikova N. A. 2021, “Artificial intelligence in the modern educational space: problems and
26. prospects”„ Sotsial’nyye novatsii i sotsial’nyye nauki, Vol. 2, no 4. pp. 98-113.
27. Mirzoev M. S., Shapkina V. M., Tagoev Z. “Metodicheskiye podkhody k modernizatsii shkol’-
28. nogo kursa informatiki”, [Methodological approaches to the modernization of the school course
29. of informatics]. Materialy IV Mezhdunarodnoy nauchnoy konferentsii “Aktual’nyye problemy
30. obucheniya matematike i informatike v shkole i vuze”,. Moscow, MSGU, 2018.
31. Lavrenov A. N. “Iskusstvennyy intellekt v sovremennoy informatsionnoy obrazovatel’noy srede”,
32. [Artificial intelligence in the modern information educational environment], Materialy
33. Mezhdunarodnoy nauchno-prakticheskoy internet-konferentsii “Aktual’nyye problemy metodiki
34. obucheniya informatike i matematike v sovremennoy shkole”,. [Mat. of the int. sci. and pract. conf. “Actual problems of teaching methods for informatics and mathematics in the modern
35. school”,] Moscow, 2019. – pp. 660–665. Available at: https://elibrary.ru/item.asp?id=41517683
36. (accessed 30 January 2023).
37. Smirnova I. M., Manyakhin V. G., Makarova P. S., Mirzoev M. S., Nizhnikov A. I. 2022.
38. Organization of various activities of students in teaching mathematics and informatics.
39. Prometheus, M., 208 p.
40. Mirzoev M. S., Yagello A. A. 2022, “Development of students’ creativity in teaching the basics
41. of artificial intelligence”„ Pedagogical informatics, no. 2, pp. 127-135.
42. On amendments to the federal state educational standard of secondary general education, approved
43. by order of the Ministry of Education and Science of the Russian Federation of May
44. , 2012 No. 413. (Registered on September 12, 2022 No. 70034). Available at:
45. http://publication.pravo.gov.ru/Document/View/0001202209120008 (accessed 27 January
46. .
47. Public-professional discussion and external expertise of the PEP project on the subject “Informatics”,
48. for secondary general education. Available at: https://infdiscussion.itmo.ru/p/poopsoo/
49. (accessed 27 January 2023).
50. Semakin I. G., Yasnitsky L. N. On the possibilities of teaching “artificial intelligence”, in a secondary
51. school. Available at: https://lbz.ru/metodist/lections/12/files/about.pdf (accessed 27
52. January 2023).
53. Chubarikov V. N., Dobrovol’skii N. N., Rebrova I.Yu., Dobrovol’skii N. M. 2021, “Computer
54. science, computer, computational complexity”,. Chebyshevskii Sbornik. vol. 22, no 1. pp. 520-
55. (In Russ.) https://doi.org/10.22405/2226-8383-2021-22-1-520-536.
Review
For citations:
Mirzoev M.S., Nizhnikov A.I. Methodology of teaching the basics of artificial intelligence in the school course of computer science. Chebyshevskii Sbornik. 2023;24(1):276-293. (In Russ.) https://doi.org/10.22405/2226-8383-2023-24-1-276-293
Views:
515
Email this article 