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ARTIFICIAL INTELLIGENCE IN EDUCATION: PREVENTING STUDENT LAZINESS THROUGH INTELLIGENT LEARNING SYSTEMS

Yusupova Shaxzoda , Tashkent University of Information Technologies

Abstract

This study explores how Artificial Intelligence (AI) can be applied in education to prevent student laziness and enhance motivation for self-directed learning. In recent years, technological advancements have significantly changed learning environments, but they have also increased students’ dependence on automation and reduced active engagement. This paper investigates the role of AI-driven personalized learning systems, gamification, and behavior analysis in encouraging active participation. Findings suggest that intelligent systems can reduce passive learning habits and promote consistency, responsibility, and curiosity among students.

Keywords

Artificial Intelligence, Education, Motivation, Student Laziness, Intelligent Systems, Gamification.

References

Zhang, T., & Lee, M. (2023). AI and Motivation in Personalized Education Systems. Journal of Intelligent Learning.

Chen, S., Park, Y., & Patel, A. (2022). Detecting Student Procrastination through AI Behavioral Analytics. Educational Technology Research.

Rahman, N. (2024). Gamification in AI Learning Systems: Overcoming Laziness in Modern Students. Asian Journal of ICT Education.

OECD. (2024). Artificial Intelligence and Human Learning: The Balance Between Automation and Engagement. OECD Education Papers

Davis, K. (2023). Human-AI Collaboration in the Classroom. International Journal of Smart Education.

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How to Cite

ARTIFICIAL INTELLIGENCE IN EDUCATION: PREVENTING STUDENT LAZINESS THROUGH INTELLIGENT LEARNING SYSTEMS. (2025). International Journal of Artificial Intelligence, 5(11), 1094-1096. https://www.academicpublishers.org/journals/index.php/ijai/article/view/7801