Аннотации:
Personalized adaptive learning tailors’ education to each student’s unique needs by adjusting
materials, tasks, and feedback based on their individual skill levels and progress. This paper
details the development and implementation of a personalized adaptive learning platform
designed to assess students’ mathematical abilities and offer customized exercises that align with
their strengths and areas for improvement. A pilot study conducted with 118 students at Aktobe
Higher Polytechnic College (Kazakhstan) demonstrated that this approach led to significant
improvements in academic performance, engagement, and motivation compared to traditional
teaching methods. By providing individualized learning paths and real-time feedback, the platform enhanced students’ problem-solving abilities and overall understanding of mathematics.
This paper also explores the platform’s design, adaptive algorithms, and the measurable impact
on student outcomes, highlighting the potential of personalized adaptive learning to transform
educational practices and improve learning effectiveness in diverse academic environments.
