Application of Big Data in Determining and Regulating Trends in Education
A.F. Galimyanov, F.M. Gafarov, A.I. Muzafarova
Available Online 13 May 2020.
- https://doi.org/10.2991/assehr.k.200509.121How to use a DOI?
- ABC-abilities, competencies, big data, neural networks
- The relevance of the study is determined by the need to build new methods for the study of educational activity, which is aimed at developing competencies. Competencies are considered as functions of ABC-abilities. As an example, the expression of mathematical culture is given as a vector function of ABC-abilities. It is necessary to process a large amount of data obtained as a result of such formalization to determine and regulate the trends of the educational activity. These data occupy a very large memory amount, are constantly updated both in volume and in nomenclature. These possibly unstructured data are called big data and special methods for working with them are created. This data can be useful in the further optimal design of the educational activity with proper processing. In this regard, this article is aimed at revealing the features of big data application in the educational process, substantiating the need for the use of neural networks to study and apply the hidden patterns of the educational process. It is proposed to use an interpolation polynomial to smooth the initial data.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - A.F. Galimyanov AU - F.M. Gafarov AU - A.I. Muzafarova PY - 2020 DA - 2020/05/13 TI - Application of Big Data in Determining and Regulating Trends in Education BT - International Scientific Conference “Digitalization of Education: History, Trends and Prospects” (DETP 2020) PB - Atlantis Press SP - 677 EP - 680 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200509.121 DO - https://doi.org/10.2991/assehr.k.200509.121 ID - Galimyanov2020 ER -