Personalization of Learning with AI-Based Intelligent Tutor System: A Case Study
Date Published : 24 September 2024
Contributors
Camilia
Author
Sidney Wisney
Translator
DOI
Proceeding
Track
General Track
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Copyright (c) 2024 International Symposium on Artificial Intelligence (ISAI)
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