“Leveraging AI to drive adaptive learning for sustainable educational reforms”

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in education, enabling adaptive learning systems that personalize instruction to meet diverse learner needs. This paper explores how AI-driven adaptive learning can foster sustainable educational reforms by enhancing accessibility, equity, and efficiency in learning environments. The government of India’s education vision for viksit bharat 2047 is to create an inclusive, high quality education system for skill development and quality work and production. India’s education system is characterised by fixed pattern with large duration and less practical. The emergence of AI , has changed the education system. It is helping the system to more personalized way, making it more real and understanding for current and future. In the race for skilling the viksit bharat 2047, these changes are causing a shift and helping Indian education system as per global standards. AI for Multilingual education is helping students bridge learning gaps from language difficulties. Voice based learning models in local language is on high demand. Government of India’s New Education Policy NEP-2020 emphasises the integration of AI Curriculum at all educational level and aims to equip students with skills like digital literacy, coding and computational thinking. This paper explores how the integration of AI in the education sector is bringing about transformative changes, particularly within the frameworks of education. The challenges of the 21st century, moving away from traditional model to advanced new AI model education for more personalized and adoptive approaches.Through a review of existing literature and a proposed framework for implementation, the paper examines AI’s potential to tailor content, assess performance in real time, and address systemic educational challenges. Key considerations include ethical implications, scalability, and integration with existing pedagogical frameworks. This paper also focus on the Personalised adoption approaches is more adopted and enhancing the quality of education.The findings suggest that AI, when thoughtfully implemented, can support inclusive and sustainable education systems, though challenges such as data privacy and teacher training must be addressed.The findings of this paper focus on key challenges on data privacy, regulatory issues.