THE EFFECT OF ADAPTIVE AI SYSTEMS ON STUDENT MOTIVATION AND PERFORMANCE IN HIGHER EDUCATION

Delyan Plachkov

Abstract


This article explores the impact of adaptive artificial intelligence (AI) systems on student motivation and academic performance in higher education. As digital transformation accelerates in university environments, AI-driven learning platforms are increasingly used to tailor educational experiences to individual learner needs. Drawing on a combination of theoretical sources and empirical observations, the study analyzes how adaptive systems support personalized learning paths, formative feedback, and learner autonomy. The findings suggest that such technologies can significantly enhance student engagement and outcomes when properly implemented and supported by pedagogical and institutional frameworks.


Keywords


Artificial intelligence, adaptive learning systems, motivation, academic performance, higher education, digital transformation, personalized learning.

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References


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New knowledge Journal of science is financed by the National Science Fund of the Republic of Bulgaria - contract № КП-06-НП1/5 of 17.12.2019 in the competition of Bulgarian scientific periodicals – 2019

New knowledge Journal of science is financed by the National Science Fund of the Republic of Bulgaria – contract № ДНП 05/52 от 22.12.2016 in the competition of Bulgarian scientific periodicals – 2016

The contents of this publication do not necessarily reflect the position or opinion of the National Science Fund of the Republic of Bulgaria. The opinions expressed are those of the author(s) only and should not be considered as representative of the National Science Fund’s official position.

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