The role of AI and digital technologies in higher education

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Abstract

Background. In the context of digitalization of all spheres of life, the issue of using digital technologies and artificial intelligence in education is becoming especially relevant. The effectiveness of using technologies in a university largely depends on how much the opinions of students and teachers coincide when choosing them.

Purpose. Comparison of the opinions of university students and teachers on the effectiveness of digital technologies in professional education.

Materials and methods. The main research method is the rank correlation method for investigating the preferences of digital technologies by students and teachers. In addition, an analysis of scientific literature was applied to compile a list of technologies, a comparative analysis was used to compare the answers of the subjects, and the method of interview was applied to determine the reasons for the technology ratings compiled by the participants in the educational process.

Results. The preferences of students and teachers generally coincide, which is an indicator of good contact between the participants in the educational process. Differences in the preferences of humanities and IT students concern the assessment of educational platforms and electronic textbooks. IT students believe that with the advent of artificial intelligence, the role of electronic textbooks is declining. Teachers of English and computer science choose the same technologies as effective ones: educational platforms, electronic textbooks, mobile applications. Differences were found in the assessment of the least effective technologies: for foreign language teachers these are simulators, for computer science teachers - artificial intelligence.

About the authors

Alla F. Matuszak

South Ural State Humanitarian Pedagogical University

Author for correspondence.
Email: lilac0@yandex.ru
ORCID iD: 0000-0003-0514-0443
SPIN-code: 6201-7970
Scopus Author ID: 57202213894
ResearcherId: AAA-7013-2020

Doctor of Pedagogy, Associate Professor, Professor of Foreign Languages Department

Russian Federation, 69, Lenin Ave., Chelyabinsk, 454080, Russian Federation

Olga Yu. Pavlova

South Ural State Humanitarian Pedagogical University

Email: pavlovaou@cspu.ru
ORCID iD: 0000-0002-5334-9084
SPIN-code: 5359-4214
Scopus Author ID: 57215724435

PhD, Associate Professor, Head of Foreign Languages Department

Russian Federation, 69, Lenin Ave., Chelyabinsk, 454080, Russian Federation

Ludmila S. Nosova

South Ural State Humanitarian Pedagogical University

Email: nosovals@cspu.ru
ORCID iD: 0000-0002-4229-3572
SPIN-code: 4259-6890
Scopus Author ID: 57203552573

PhD, Associate Professor, Associate Professor of Mathematics and Informatics Department

Russian Federation, 69, Lenin Ave, Chelyabinsk, 454080, Russian Federation

Leyla F. Velieva

South Ural State Humanitarian Pedagogical University

Email: velievalf@cspu.ru
ORCID iD: 0000-0002-6857-3222
SPIN-code: 2757-3147

Senior Lecturer of Foreign Languages Department

Russian Federation, 69, Lenin Ave., Chelyabinsk, 454080, Russian Federation

Irina M. Salimova

South Ural State Humanitarian Pedagogical University

Email: salimovaim@cspu.ru
ORCID iD: 0000-0003-2152-0809
SPIN-code: 9712-7580

Senior Lecturer of Foreign Languages Department

Russian Federation, 69, Lenin Ave., Chelyabinsk, 454080, Russian Federation

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