Personalization of Learning with AI-Based Intelligent Tutor System: A Case Study


Date Published : 24 September 2024
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Contributors

Camilia

Author

Sidney Wisney

Translator

DOI

Proceeding

Track

General Track

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Copyright (c) 2024 International Symposium on Artificial Intelligence (ISAI)

Creative Commons License

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

Abstract

This study focuses on the development and implementation of an AI-based intelligent tutor system (ITS) to personalize students' learning experiences. The developed ITS system is able to adjust learning materials, problem difficulty levels, and learning speed according to individual student needs. Through a case study on the subject [subject], this study shows that AI-based ITS can increase students' learning motivation, improve conceptual understanding, and achieve better learning outcomes.

References

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How to Cite

Personalization of Learning with AI-Based Intelligent Tutor System: A Case Study (S. Wisney, Trans.). (2024). International Symposium on Artificial Intelligence (ISAI), 1(2), 2-11. https://doi.org/10.12821/h3ckph15