The Implementation of AI Technology in Mathematics Education to Enhance Students’ Learning Independence and Critical Thinking Skills
Abstract
Abstract: The application of artificial intelligence (AI) technology in mathematics education demonstrates significant potential in enhancing students’ learning independence and critical thinking skills. Various innovative approaches, such as problem-based learning, brain-based learning, and ethnomathematics, have proven effective in fostering independent and reflective learning characters. On the other hand, the integration of AI through intelligent systems—such as intelligent tutoring systems, gamification, and adaptive learning platforms—has enriched the mathematics learning experience in a more personalized and interactive manner. AI also plays a role in improving student engagement, conceptual understanding, and creativity in problem-solving. However, challenges such as technological gaps, misconceptions about AI, and infrastructure limitations remain obstacles to its implementation. Findings suggest that although the effectiveness of AI in enhancing students’ cognitive and affective aspects has been identified, systematic studies that link AI with the development of students’ learning character in the context of mathematics remain limited. Therefore, further in-depth and practical research is needed to develop AI-based mathematics learning designs that can shape students to be independent, critical, and adaptive in facing 21st-century challenges.
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