Contributes of the Integration Between Computational Thinking and Artificial Intelligence for Mathematics Education

Actually, in education, the synergy between Computational Thinking and Artificial Intelligence has emerged as a transformative force with implications in Mathematical Education. This paper aim to explore the dynamic interplay between CT and AI and their collective contributions to enhancing the pedagogical impact on mathematical education. By harnessing AI-powered tools and methodologies, educators can personalize learning experiences, adapt instructional sequences, and offer real-time feedback tailored to individual student needs. The integration of CT and AI also empowers learners to approach mathematical challenges with algorithmic problem-solving skills, fostering a deeper understanding of mathematical concepts. Through a comprehensive analysis of existing literature and practical examples, this paper showcases how the amalgamation of CT and AI can cultivate a more engaging and effective mathematical learning environment. Given the age of AI, CT is a crucial skill for students to develop, and the guidance of a qualified teacher is essential. The challenge lies in regulating the use of AI in contexts where regulation is insufficient, particularly in projects that evade adherence to robust ethical standards or community-defined rules. It is hoped that this study demonstrates the potential to bridge the gap between theoretical knowledge and practical application, equipping teachers, and students with the necessary skills to navigate the complexity of an AI-driven world, in a context of mathematics education.