Digital competence of university lecturers in artificial intelligence

The article presents a study on the issue of digital competence of university lecturers in the field of artificial intelligence. The purpose of this study is to determine the digital competence impact of university lecturers in the field of artificial intelligence on the results of professional activity. The use of theoretical methods (analysis, synthesis, comparison, generalization) indicates the problem of developing digital competence in specialists. The empirical method of research (project method, testing) reveals the problems in this field with the purpose of determining further activities in the university. The authors analyze the essence of the “digital competence” concept and its constituent elements, defined the requirements for a lecturer who applies artificial intelligence in one’s professional activity. An analytical review of some effective tools for lecturers in the field of artificial intelligence acknowledged by experts is carried out. The authors identify the capabilities of each of them, while highlighting the problems and prospects of their application by lecturers. The experiment established a correlation between university lecturers’ digital competence and their performance results. The results indicate the effective influence of digital competence of university lecturers in the field of artificial intelligence on the results of professional activity.

Authors

Publication Details

Journal
Severny region nauka obrazovanie cultura
Published
2025-01-01
DOI
https://doi.org/10.35266/2949-3463-2025-1-9
Primary Topic
Digital literacy in education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital competence of university lecturers in artificial intelligence

Olga Yurievna Muller, А. Р. Камалеева
Severny region nauka obrazovanie cultura
Digital literacy in education
article

Digital competence of university lecturers in artificial intelligence

Olga Yurievna Muller, А. Р. Камалеева
article en

Abstract

The article presents a study on the issue of digital competence of university lecturers in the field of artificial intelligence. The purpose of this study is to determine the digital competence impact of university lecturers in the field of artificial intelligence on the results of professional activity. The use of theoretical methods (analysis, synthesis, comparison, generalization) indicates the problem of developing digital competence in specialists. The empirical method of research (project method, testing) reveals the problems in this field with the purpose of determining further activities in the university. The authors analyze the essence of the “digital competence” concept and its constituent elements, defined the requirements for a lecturer who applies artificial intelligence in one’s professional activity. An analytical review of some effective tools for lecturers in the field of artificial intelligence acknowledged by experts is carried out. The authors identify the capabilities of each of them, while highlighting the problems and prospects of their application by lecturers. The experiment established a correlation between university lecturers’ digital competence and their performance results. The results indicate the effective influence of digital competence of university lecturers in the field of artificial intelligence on the results of professional activity.

Severny region nauka obrazovanie culturaVol. 26(1)
Openalex Percentile: Top 85%
Digital literacy in education
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.