THE ROLE OF ARTIFICIAL INTELLIGENCE IN PREDICTING THE OUTCOMES OF TEACHERS’ PROFESSIONAL ACTIVITY
PDF (Ukrainian)

Keywords

artificial intelligence, big data, professional activity, prediction, personalization, educators, learners

Categories

How to Cite

THE ROLE OF ARTIFICIAL INTELLIGENCE IN PREDICTING THE OUTCOMES OF TEACHERS’ PROFESSIONAL ACTIVITY. (2025). Innovative Professional Education, 1(22), 730-737. https://doi.org/10.32835/2786-619X.2025.1.22.730-737

Abstract

The role of artificial intelligence in predicting the outcomes of educators’ professional activities has been investigated. It has been established that artificial intelligence enables precise analysis of large datasets, thereby enhancing the efficiency of teaching and the assessment of learning outcomes. A correlation between teaching methodologies and the academic achievements of learners has been identified, contributing to the personalization of education. The application of artificial intelligence as a tool for the professional development of teachers has been proposed. Prospects for improving educational practices in Ukraine through the use of adaptive learning technologies have been explored.

PDF (Ukrainian)

References

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White (Eds.), Learning analytics: From research to practice (pp. 61–75). Springer.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Jurafsky, D., & Martin, J. H. (2020). Speech and language processing (3rd ed.). Prentice Hall.

Klašnja-Milićević, A., Ivanović, M., & Budimac, Z. (2017). Data science in education: Big data and learning analytics. Computer Applications in Engineering Education, 25(6), 1066–1078. https://doi.org/10.1002/cae.21844

Russell, S., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). Pearson.

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

Siemens, G., & Baker, R. S. (2012). Learning analytics and educational data mining: Towards communication and collaboration. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 252–254). ACM.

Williamson, B. (2016). Digital education governance: Data visualization, predictive analytics, and ‘real-time’ policy instruments. Journal of Education Policy, 31(2), 123–141. https://doi.org/10.1080/02680939.2015.1035758

National Education Policy Center. (2021). AI in education: Promises and pitfalls. University of Colorado.

Smith, J., Johnson, M., & Lee, K. (2020). Machine learning models for predicting teacher effectiveness. Journal of Educational Data Mining, 12(4), 78–95.

Petrenko, L., & Marchenko, A. (2021). Predicting teacher success through AI analysis of portfolios. Ukrainian Journal of Educational Studies, 7(1), 22–35.

Ivanenko, N., & Kovalchuk, O. (2019). Sentiment analysis in teacher performance evaluation: A Ukrainian case study. Educational Research Quarterly, 43(3), 112–128.

Hrytsiuk, O., & Bondarenko, I. (2022). Ethical challenges of AI in Ukrainian education. Journal of Educational Technology, 15(2), 45–60.

Radkevych, O., Pryhodii, M., & Radkevych, V. (2025). Artificial intelligence use in assessing the learning outcomes of future engineers. In M. E. Auer & T. Rüütmann (Eds.), Futureproofing engineering education for global responsibility. ICL 2024. Lecture Notes in Networks and Systems (Vol. 1260, pp. 557–564). Springer. https://doi.org/10.1007/978-3-031-85652-5_55

Даниленко, Л. (2021). Великі дані в освіті: можливості та виклики. Освітня аналітика України, 1(1), 45–52.

Діденко, О. (2022). Штучний інтелект у педагогічній діяльності: нові горизонти. Педагогічні науки, 75(2), 112–118.

Кухаренко, В. М. (2020). Використання машинного навчання в освіті: можливості та виклики. Педагогічні науки: теорія, історія, інноваційні технології, 2(96), 15–25.

Литвинова, С. Г. (2020). Використання штучного інтелекту в освіті: можливості та виклики. Інформаційні технології і засоби навчання, 78(4), 1–15. https://doi.org/10.33407/itlt.v78i4.3575

Морозов, В. В. (2021). Етичні аспекти використання штучного інтелекту в освіті. Освітній дискурс, 33(5), 45–52.

Семеріков, С. (2020). Штучний інтелект в освіті: виклики та перспективи. Інформаційні технології в освіті, 42(1), 15–23.

Радкевич, О. П. (2014). Цивільно-правова охорона і захист персональної інформації в мережі Інтернет (Doctoral dissertation, Київ).

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2025 Олександр Радкевич

Downloads

Download data is not yet available.