EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN PERSONALIZING THE LEARNING PROCESS

Authors

  • Istoraxon Ilhom qizi Abdusalomova International Nordic University
  • Marjona Komiljon qizi Maxmudova International Nordic University

Keywords:

artificial intelligence, personalized learning, adaptive learning, personalization, educational technologies, learner activity analysis, intelligent systems, digital pedagogy, learning process efficiency, learning analytics, generative AI, adaptive assessment, e-learning, learning motivation, learner profile

Abstract

This paper analyzes the role and effectiveness of artificial intelligence technologies in personalizing the learning process. AI‑based adaptive learning systems enhance educational quality by generating personalized learning materials tailored to learners’ knowledge levels, interests, learning pace, and psychological characteristics. AI technologies analyze learner activity in real time, identify strengths and weaknesses, revisit unmastered topics, generate individualized learning trajectories, and automate assessment. As a result, learners follow a personalized educational pathway aligned with their needs, while teachers receive analytical insights that support effective instruction. AI integration improves transparency, flexibility, motivation, and overall quality indicators in education, making it a crucial factor in the development of modern pedagogy.

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Published

2025-12-15

Issue

No. 6 (2025): Artificial Intelligence, Digital Tools, and the Evolution of Teaching

Section

Articles

License

Creative Commons License

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