Design and Implementation of Intelligent Tutoring System Based on Artificial Intelligence

DOI: https://doi.org/10.62517/jnse.202617304

Author(s)

Ge Runzhi

Affiliation(s)

School of Mathematics and Artificial Intelligence, Chongqing University of Arts and Sciences Yongchuan, Chongqing, China

Abstract

Traditional educational tutoring modes suffer from limited personalized adaptation, low resource utilization efficiency, and difficulty in capturing real-time learning states of students, failing to meet the diversified and refined learning demands in modern smart education. This study adopts artificial intelligence technologies including knowledge graph, data mining and adaptive learning algorithms to design and develop an intelligent tutoring system. User demand analysis, modular architecture design and functional module development are completed through systematic educational scenario investigation and technical iteration. System functional testing and performance verification are conducted based on actual teaching application scenarios. The results show that the constructed system can realize adaptive tutoring, real-time learning state evaluation and personalized resource recommendation. It effectively optimizes teaching service modes, improves learning efficiency, and provides technical support and practical reference for the intelligent transformation of modern education systems.

Keywords

Artificial Intelligence; Intelligent Tutoring System; Personalized Learning; Educational Informatization; System Implementation

References

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