Artificial Intelligence (AI) is increasingly transforming education, particularly in mathematics, where AI offers tremendous promise to strengthen conceptual understanding, create customized learning experiences, and improve assessment. This paper offers a theoretical examination of AI tools in mathematics teaching and learning by focusing on five current platforms, Magic School AI, SchoolAI, Brisk Teaching, Auto Classmate, and Teach Easy, which represent a next generation of educator- and learner-centered AIs. These new kinds of technologies enable intelligent automation, adaptive instruction, and real-time feedback for students and teachers. Using constructivist and cognitive learning theories, the researchers had examined how these kinds of tools may support learning, instructional design, and data-informed teaching pedagogy in mathematics classrooms. Additionally, the study addresses the challenges and ethical implications of expanding supportive technologies in education in order to provide insight into future-oriented educational practice.
Kanvaria et al. (Fri,) studied this question.
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