INDIVIDUALIZING THE INDEPENDENT LEARNING ACTIVITIES OF ACADEMIC LYCEUM STUDENTS THROUGH ARTIFICIAL INTELLIGENCE

Authors

  • Akbarov B.A. Akbarov B.A. Author
  • Dehqonova S.E. Dehqonova S.E. Author

Keywords:

independent learning, artificial intelligence, personalization, adaptive learning, learning trajectory, academic lyceum, intelligent tutoring.

Abstract

This thesis explores the methodology and pedagogical potential of individualizing the independent learning process of academic lyceum students through modern Artificial Intelligence (AI) technologies. The paper examines the mechanisms for transitioning from the traditional “mass education” model to a Personalized Learning Path system, as well as strategies for developing adaptive learning content tailored to each learner’s pace of mastery and individual needs. In addition, the role of AI systems as personal intelligent assistants (tutors) for students is analyzed.

Author Biographies

  • Akbarov B.A., Akbarov B.A.

    Associate Professor,

    Namangan State Technical University

  • Dehqonova S.E., Dehqonova S.E.

    Independent Researcher,

    Namangan State Technical University

References

Downloads

Published

2026-06-18

Issue

Vol. 7 No. 2 (2026): SYMPOSIUM ON ADVANCED STUDIES AND FUTURE DIRECTIONS

Section

Articles