Digital and Artificial Intelligence in Education

Title

Digital and Artificial Intelligence in Education

Creator

Gordienko, Oksana; Sokolova, Anastasia; Braun, Yurii; Ivanov, Oleg; Lapin, Vitalii; Jenefa, J.

Description

The article examines the relationship between digital intelligence and artificial intelligence, with an emphasis on the pedagogical aspects of this problem. The author emphasizes that the creation of AI requires not only technical literacy, but also developed digital thinking, supported by clear ethical principles. Particular attention is paid to the role of modern education in the formation of such specialists - the school should educate not just IT specialists, but people who are able to responsibly use technology. The work analyzes the various levels of digital competencies required in professional activities, and also provides an overview of scientific publications on the implementation of artificial intelligence in the educational process. The study demonstrates how important it is to combine technological progress with humanistic values in the training of future personnel. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Source

Lecture Notes in Networks and Systems;Volume;1616 LNNS;pp.187-196

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

artificial intelligence; digital competencies; digital education First Section; digital intelligence

Coverage

Gordienko O., Moscow Pedagogical State University (MPGU), Moscow, 119435, Russian Federation; Sokolova A., Moscow Pedagogical State University (MPGU), Moscow, 119435, Russian Federation; Braun Y., Moscow Pedagogical State University (MPGU), Moscow, 119435, Russian Federation; Ivanov O., Moscow Pedagogical State University (MPGU), Moscow, 119435, Russian Federation; Lapin V., North-Caucasus Federal University, Stavropol, 3550017, Russian Federation; Jenefa J., Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-303204364-1;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-3-032-04365-8_19

https://www.scopus.com/pages/publications/105019491303?origin=resultslist