Machine learning to identify key success indicators : доклад, тезисы доклада

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023); Divnomorskoe village, Russia; Divnomorskoe village, Russia

Год издания: 2023

Идентификатор DOI: 10.1051/e3sconf/202343105014

Аннотация: This article explores the application of machine learning techniques in the context of identifying and analyzing key indicators of learner success. In particular, the paper focuses on the application of machine learning techniques such as decision trees, Kohonen maps and neural networks. Decision trees are a graphical model that heПоказать полностьюlps to analyze and make decisions based on hierarchical data structure. They allow classification and regression analysis, which helps in highlighting optimal strategies and recommendations to improve learner success. Kohonen map are used to highlight key success indicators, find hidden patterns and group data. Neural networks are able to analyze complex relationships and predict outcomes based on input data. The selected machine learning methods allow to optimize the learning process, adapt teaching methods to individual needs and increase the effectiveness of education in general.

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Издание

Журнал: E3S Web of Conferences

Выпуск журнала: 431

Номера страниц: 05014-05014

Место издания: Divnomorskoe village, Russia

Персоны

  • Nelyub V.
  • Glinscaya A.
  • Kukartsev V.
  • Borodulin A.
  • Evsyukov D.

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