Elective course on machine learning in high school: problems of sports programming
release_qylqrcnsqjcsnnkxati365oyha
by
A. A. Nikandrov,
X. R. Piotrowska
2024 Issue 1, p54-59
Abstract
The article discusses the prospect of teaching elements of machine learning in high school. An overview of foreign experience in studying the fundamentals of machine learning at school is presented. A system of tasks is proposed for an elective course on machine learning for high school students in Russian secondary schools. An analysis of five typical tasks of competitive programming, which are the author's development, was carried out, and each task has its own rating, similar to those offered on the well-known resources of the informatics Olympiad movement: CodeForces, LeetCode, AtCoder. The elective is intended for schoolchildren who already have basic knowledge of programming in Python 3, and consists of three modules that are aimed at different levels of proficiency in this programming language. The student has the opportunity to increase or decrease the level of completion of the course. The elective course can be implemented in the Stepik system. Training can be carried out either in distance learning or in the form of blended learning. The program code of tasks is checked automatically. Consideration of theory and analysis of tasks are carried out on the interactive computing platform Jupyter Notebook.
In application/xml+jats
format
Archived Files and Locations
application/pdf
641.3 kB
file_soj5ft3u6jej3h3l2m4yzw3y6y
|
school.infojournal.ru (publisher) web.archive.org (webarchive) |
article-journal
Stage
published
Date 2024-04-18
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar