Factors influencing the adoption of artificial intelligence tools in the educational process by teachers

Background. The article presents the results of a study examining the factors influencing teachers' decisions on the use of artificial intelligence (AI) tools in the educational process. Purpose. The authors aim to identify and analyze factors influencing teachers' adoption of artificial intelligence tools in the educational process through the analysis of empirical data. Methodology. The analysis of literature allowed us to identify current trends. The method of sociological research was an expert survey, the respondents of which were 162 teaching staff. The expert survey was conducted in October-November 2024. When analyzing the obtained empirical data, Pearson's Chi-square test was used. Results. The study analyzed key factors influencing teachers' decisions to use artificial intelligence tools in their professional activities: increasing efficiency and productivity, automation of routine tasks, accessibility and ease of use, recommendations from colleagues, influence of AI experts, desire for innovation and development, budget constraints, personal preferences and beliefs. Practical implications. The results of the study can be applied in the field of education to formulate goals and objectives for the development and advanced training of teaching staff.

Authors

Institutions

Publication Details

Journal
Russian Journal of Education and Psychology
Published
2025-08-31
DOI
https://doi.org/10.12731/2658-4034-2025-16-3-735
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors influencing the adoption of artificial intelligence tools in the educational process by teachers

Evgenia V. Zhelnina, Natalia V. Lyubavina
Russian Journal of Education and Psychology
Intelligent Tutoring Systems and Adaptive Learning
article

Factors influencing the adoption of artificial intelligence tools in the educational process by teachers

Evgenia V. Zhelnina, Natalia V. Lyubavina
article en

Abstract

Background. The article presents the results of a study examining the factors influencing teachers' decisions on the use of artificial intelligence (AI) tools in the educational process. Purpose. The authors aim to identify and analyze factors influencing teachers' adoption of artificial intelligence tools in the educational process through the analysis of empirical data. Methodology. The analysis of literature allowed us to identify current trends. The method of sociological research was an expert survey, the respondents of which were 162 teaching staff. The expert survey was conducted in October-November 2024. When analyzing the obtained empirical data, Pearson's Chi-square test was used. Results. The study analyzed key factors influencing teachers' decisions to use artificial intelligence tools in their professional activities: increasing efficiency and productivity, automation of routine tasks, accessibility and ease of use, recommendations from colleagues, influence of AI experts, desire for innovation and development, budget constraints, personal preferences and beliefs. Practical implications. The results of the study can be applied in the field of education to formulate goals and objectives for the development and advanced training of teaching staff.

Russian Journal of Education and PsychologyVol. 16(3)
Togliatti State University (RU), Volga Region State University of Service (RU)
Openalex Percentile: Top 86%
Intelligent Tutoring Systems and Adaptive Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.