Controlled trial of adaptive AI systems in the personalization of mathematics teaching in high school

Authors

  • Oksana Boiko PhD Student of the Department of Pedagogy and Psychology of Educational Activity, Zaporizhzhia National University, Zaporizhia, Ukraine https://orcid.org/0000-0002-8850-1066
  • Svitlana Vasylyuk-Zaitseva MPhil in Physics, Senior Lecturer of the Department of Computer Science of the National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-0875-462X
  • Valentina Motorina Doctor of Pedagogical Sciences, Professor at the Department of Mathematics and Teaching Methodology, South Ukrainian National Pedagogical University named after K. D. Ushynsky, Odesa, Ukraine https://orcid.org/0009-0003-6736-858X

DOI:

https://doi.org/10.5281/zenodo.19014649

Keywords:

adaptive systems, personalized learning, digital learning, mathematics education, learning effectiveness, student motivation, analytical thinking, interactive educational technologies.

Abstract

Trends in the digitalization of education and the integration of adaptive technologies in high school define new approaches to the organization of the learning process. The use of intelligent digital platforms transforms the interaction between students and teachers, provides opportunities for differentiated instruction, and enables the formation of individual educational trajectories. In this context, the implementation of adaptive artificial intelligence technologies in mathematics teaching becomes particularly significant, contributing to the improvement of learning efficiency and the development of students’ analytical and critical thinking skills. Objective. The aim of the study is to justify the pedagogical potential of adaptive digital systems in personalizing the learning process and to determine their impact on students’ academic achievements, motivation, and analytical competencies. Methods. Methods. The study applied methods such as analysis of scientific sources, synthesis of international experience, comparative analysis of educational models, pedagogical observation, student surveys, and interpretation of empirical data using elements of statistical processing. The theoretical foundation is based on competence-based, systemic, and didactic approaches. The results of the study showed that the use of adaptive digital platforms, interactive educational environments, and tools for personalized learning contributes to improved mastery of mathematical material, development of analytical and critical thinking, increased motivation for learning, and the formation of individual educational trajectories. It was found that the integration of adaptive technologies into the learning process ensures flexibility in organizing instruction, differentiation of tasks according to complexity, and expands students’ access to modern educational resources. The conclusions indicate that the use of adaptive digital platforms in mathematics teaching is an effective factor in enhancing the quality of learning, developing individual competencies, and preparing students for successful academic and professional activity.

Published

2026-03-14

How to Cite

Boiko, O., Vasylyuk-Zaitseva, S., & Motorina, V. (2026). Controlled trial of adaptive AI systems in the personalization of mathematics teaching in high school. Pedagogical Academy: Scientific Notes, (28). https://doi.org/10.5281/zenodo.19014649

Issue

Section

Information and communication technologies in education