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

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.