Mashinnoe obuchenie kak instrument sovremennykh pedagogicheskikh tekhnologii

Article in Collection
Сollection of articles «Development education system: theory, methodology, experience»
Creative commons logo
Published in:
Сollection of articles «Development education system: theory, methodology, experience»
Author:
Sofiia A. Kramar 1
Work direction:
Современные технологии в образовании
Pages:
19-22
Received: 18 November 2019

Rating:
Article accesses:
3684
Published in:
РИНЦ
Cited by:
1 articles
1 Herzen State Pedagogical University of Russia
For citation:
Kramar S. A. (2019). Mashinnoe obuchenie kak instrument sovremennykh pedagogicheskikh tekhnologii. Development education system: theory, methodology, experience, 19-22. Чебоксары: PH "Sreda".

Abstract

Использование машинного обучения в области образования в настоящее время представляет большой интерес для исследователей и ученых. Следование курсу на цифровизацию невозможно без внедрения самых передовых технологий в сферу образования. В статье рассматриваются возможности практического применения технологий машинного обучения в образовательном процессе.

References

  1. 1. Крамар А.Б. «Океан» уникальных возможностей / А.Б. Крамар, Е.В. Фёдорова // Народное образование. – 2018. – №3–4 (1467). – С. 97–100.
  2. 2. Abbott R.G. Automated expert modeling for automated student evaluation. In International Conference on Intelligent Tutoring Systems. – Berlin, 2006.
  3. 3. Alpaydin E. Introduction to machine learning. – MIT press, 2009.
  4. 4. Bhat A.H. Machine learning approach for intrusion detection on cloud virtual machines / A.H. Bhat, S. Patra, D. Jena // International Journal of Application or Innovation in Engineering & Management (IJAIEM). – 2013. – Vol. 2(6). – P. 56–66. doi: 10.1016/j.compedu.2015.07.003.
  5. 5. Delen D.A comparative analysis of machine learning techniques for student retention management // Decision Support Systems. – 2010. – Vol. 49 (4). – P. 498–506.
  6. 6. Ibtehal T.N. Machine Learning – Advanced Techniques and Emerging Applications. – 2018. doi: 10.5772/intechopen.72906.

Comments(0)

When adding a comment stipulate:
  • the relevance of the published material;
  • general estimation (originality and relevance of the topic, completeness, depth, comprehensiveness of topic disclosure, consistency, coherence, evidence, structural ordering, nature and the accuracy of the examples, illustrative material, the credibility of the conclusions;
  • disadvantages, shortcomings;
  • questions and wishes to author.