Math Instruction and AI

Math Instruction and AI

Saksham Madaan (Chandigarh Group of Colleges, Jhanjeri, India), Thrinath B. V. Sai (Mohan Babu University, India), Rajkumar Mandal (Gopal Narayan Singh University, India), Amitava Kar (Gopal Narayan Singh University, India), Mohit Sharma (Maharshi Dayanand University, Rohtak, India), P. Selvakumar (Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India), and T. C. Manjunath (Rajarajeswari College of Engineering, India)
DOI: 10.4018/979-8-3693-7873-1.ch006
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Abstract

In the evolving landscape of education, artificial intelligence (AI) is poised to revolutionize math classrooms, offering transformative potential that extends beyond traditional instructional methods. These technologies use sophisticated algorithms to analyze individual student performance, identify learning gaps, and tailor educational experiences accordingly. Moreover, AI facilitates the development of interactive and immersive learning environments. Additionally, AI can analyze patterns in student data to predict future learning difficulties and suggest preemptive interventions, thereby supporting proactive rather than reactive teaching strategies. The use of AI in math education also extends to administrative and organizational aspects. AI-driven analytics can help educators track and assess student progress on a granular level, enabling more informed decisions about instructional strategies and curriculum adjustments.
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