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The task system for the first All-Russian Olympiad in artificial intelligence for schoolchildren

https://doi.org/10.32517/0234-0453-2022-37-3-12-20

Abstract

The article discusses the main approaches to the development and use of the task system for the first All-Russian Olympiad in artificial intelligence for schoolchildren. The first Olympiad in artificial intelligence for schoolchildren, held by the Ministry of Education of the Russian Federation, had distinctive features in the procedure of the competition and in competition tasks. These features can be used for comparative analysis and expert evaluation of intellectual competitions for schoolchildren held in Russia. The subjects of the Olympiad tasks are Natural Language Processing, Computer Vision, and Data Science.

The Python programming language was used. The tasks were focused on the formation of an individual path for the student to prepare for the final stage of the Olympiad in artificial intelligence, i. e. thematic continuity was observed at all stages and the practical orientation of tasks using data sets was observed in the second and third rounds. For the assessment, a rating assessment was used (as in the professional community Kaggle.com) of the individual abilities of schoolchildren in the complex application of mathematical and digital skills in solving artificial intelligence tasks.

The article may be useful for informatics teachers who include the topic in an advanced informatics course and teachers of additional education who prepare schoolchildren for Olympiads in programming.

About the Authors

S. G. Grigoriev
Moscow City University
Russian Federation

Sergey G. Grigoriev, Corresponding Member of RAE, Doctor of Sciences (Engineering), Professor, Professor at the Department of IT, Management and Technologies, Institute of Digital Education

Moscow



I. A. Kalinin
Moscow State Linguistic University
Russian Federation

Ilya A. Kalinin, Candidate of Sciences (Education), Docent, Head of the Informatization Department, Associate Professor at the International Information Security Department, Institute of Information Sciences

Moscow



N. N. Samylkina
Moscow Pedagogical State University
Russian Federation

Nadezhda N. Samylkina, Doctor of Sciences (Education), Docent, Professor at the Department of Theory and Methods of Teaching Mathematics and Informatics, Institute of Mathematics and Informatics

Moscow



References

1. The program “Digital Economy of the Russian Federation”: approved by the Decree of the Government of the Russian Federation No. 1632-r dated July 28 2017. Available at: http://static.government.ru/media/files/9gFM4FHj4PsB79I5v7yLVuPgu4bvR7M0.pdf

2. Yang D., Shi B., Samylkin A. Graphical Neural Networks for the Global Economy with Microsoft DeepGraph. WSDM 22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. NY, Association for Computing Machinery; 2022:1655. DOI: 10.1145/3488560.3510020

3. Machalica M., Samylkin A., Port M., Chandra S. Predictive Test Selection. 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). 2019:91–100. DOI: 10.1109/ICSE-SEIP.2019.00018

4. Russell S., Norvig P. Artificial Intelligence: a modern approach: 2nd ed. Moscow, Williams; 2007. 1408 p. (In Russian.)

5. Broussard M. Artificial intelligence: the limits of the possible. Trans. from English. Moscow, Alpina non-fiction; 2020. 362 p. (In Russian.)

6. Giarratano D., Riley G. Expert systems: principles of development and programming: 4th ed. Moscow, Williams; 2007. 1152 p. (In Russian.)

7. Kalinin I. A., Samylkina N. N. Informatics. Advanced level. 11th grade. Moscow, BINOM. Laboratory of Knowledge; 2013. 216 p. (In Russian.)

8. Yasnitskiy L. N. Introduction to artificial intelligence. Moscow, Academy; 2008. 176 p. (In Russian.)

9. Yasnitsky, L. N. Artificial intelligence. Elective course: textbook. Moscow: BINOM. Laboratory of knowledge; 2012. 197 p. (In Russian.)

10. Samylkina N. N., Salakhova A. A. Teaching the basics of artificial intelligence and data analysis in an informatics course at the level of secondary general education: monograph. Moscow, MPGU; 2022. 228 p. (In Russian.) DOI: 10.31862/9785426310643

11. Stoyanov S., Glushkova T., Papancheva R. Source intellect. Knowledge representation through logic. Bourgas, Logic Programming LLC Art Publishing House; 2021. 248 p.

12. Joshi P. Artificial Intelligence with examples in Python. St. Petersburg, Dialectics; 2019. 448 p. (In Russian.)

13. Levchenko I. V. Basic approaches to teaching elements of artificial intelligence in the school course of informatics. Informatics and Education. 2019;34(6):7–15. (In Russian.) DOI: 10.32517/0234-0453-2019-34-6-7-15

14. Bogdanova A. N. The elective course “basics of artificial intelligence” for high school students. Informatics in School. 2021;20(7):27–33. (In Russian.) DOI: 10.32517/2221-1993-2021-20-7-27-33

15. Stoyanov S., Glushkova T., Papancheva R. Artificial Intelligence. Problem solving through search. Bourgas, Logic Programming LLC Art Publishing House; 2019. 312 p.

16. Approximate basic educational program of basic general and secondary general education. (In Russian.) Available at: https://fgosreestr.ru/

17. Agrawal R., Srikant R. Fast algorithms for mining association rules in large databases. Proc. of the 20th Int. Conf. on Very Large Data Bases (VLDB). Santiago, Chile. 1994:487– 499. Available at: https://vldb.org/conf/1994/P487.PDF

18. Pickover K. Artificial intelligence. Illustrated history. From automata to neural networks. Moscow, Sindbad; 2021. 250 p. (In Russian.)

19. The regulations on the All-Russian Olympiad in Artificial Intelligence for students of general education organizations, approved by the protocol of the organizing committee No. TV-47/04pr dated October 25 2021. (In Russian.) Available at: https://edu.prosv.ru/pl/fileservice/user/file/download/h/70b99a32d3bfbb8526cf4a99b1c54ad6.pdf

20. Friedl J. Regular Expressions. St. Petersburg, Symbol-Plus; 2008. 608 p. (In Russian.)

21. Tolstoy L. N. War and Peace. V 1, 2. (In Russian.) Available at: https://avidreaders.ru/book/voyna-i-mir-toma-1-i.html

22. The National Corpus of the Russian Language. (In Russian.) Available at: https://ruscorpora.ru/new/corpora-freq. html

23. Kinopoisk’s movies reviews. Available at: https://www.kaggle.com/mikhailklemin/kinopoisks-movies-reviews


Review

For citations:


Grigoriev S.G., Kalinin I.A., Samylkina N.N. The task system for the first All-Russian Olympiad in artificial intelligence for schoolchildren. Informatics and education. 2022;37(3):12-20. (In Russ.) https://doi.org/10.32517/0234-0453-2022-37-3-12-20

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)