Artificial Intelligence Based Mathematical Education in Sustainable Development for Academics

Abstract

Artificial intelligence (AI) used for education at different courses, the study of comparison and view for implementing sustainable awareness using AI is targeted in this article. The concepts of NEP2020 intertwined with sustainability motive for mathematics education is the key area of investigation. It includes adaptive and personalized learning systems, intelligent tutoring and conceptual understanding, AI supported assessment and learning analytics. We focus on the contribution of AI in achieving sustainable goals such as advancing inclusive and quality education, skill development and scalability in the education system, challenges and ethical dimensions. A review of NEP2020 for sustainability is included for the completeness of the concepts. Observations are tabulated and analyzed using the present research carried in this direction. A detailed summary is presented for addressing the specific research questions such as what are the sustainability goals in education in general, what are the mathematical educational inclusions for the sustainability goals using machine learning, what are the researches done during the period of 2020 to 2025 to achieve SDG4. The paper reviews the recent literature and indicates the research gaps to be addressed. Data driven academic planning is to be focused for the valid implementation of sustainability goals in education.