Optimization of the educational process through the use of artificial intelligence in teachers’ work
The integration of artificial intelligence (AI) into the education sector opens up new opportunities for transforming educational processes, rethinking traditional teaching methods and implementing effective changes in approaches to learning. The aim of the article is to study the functional capabilities of AI to optimize the work of teachers of higher educational institutions (HEIs) and increase its efficiency. The research was conducted using empirical methods such as experiment, observation, and questionnaire survey. The model of integration of AI tools into the educational process was proposed and tested. The results of the study showed that the functions of AI have a powerful potential for improving the teacher’s work in the context of optimization of educational processes and increasing their effectiveness in general, which was confirmed by 98% of the surveyed respondents. The ranking of promising areas of application of AI-based solutions was headed by the implementation of adaptive learning strategies (4.868 points), followed by feedback and evaluation (4.507 points), the generation of educational content ranked third (4.258 points), the management of educational activities ranked fourth (4.139 points), interaction and communication ranked fifth (3.910 points). The article may be useful for teachers interested in improving pedagogical effects through innovative digital solutions. Research prospects may be the study of the impact of AI tools on improving the learning effectiveness of postgraduate students, as well as on the level of their learning motivation.
Authors
- Maryna Shopina (ORCID: https://orcid.org/0000-0002-1637-3480)
- Yaroslav Yakunin (ORCID: https://orcid.org/0000-0001-5421-0546)
- Halyna Smolnykova (ORCID: https://orcid.org/0000-0001-5853-146X)
- Olha Tretiak (ORCID: https://orcid.org/0000-0002-1160-055X)
- Yuliia Fedorova (ORCID: https://orcid.org/0000-0002-8106-6962)
Institutions
- Borys Grinchenko Kyiv Metropolitan University (UA)
Publication Details
- Journal
- EDUWEB
- Published
- 2025-03-30
- DOI
- https://doi.org/10.46502/issn.1856-7576/2025.19.01.7
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Education
- Type
- article
- Field-Weighted Citation Impact
- 6.49