Prospects of Artificial Intelligence (AI) and Personalized Learning in Inclusive Education Integrated to NEP-2020
Sujata Moharana *
Department of Education, Prananath College (Autonomous), Khordha, Odisha-752057, India.
*Author to whom correspondence should be addressed.
Abstract
Traditional education often operates on a one-size-fits-all model, but AI has the implicit to change that by enabling personalized learning experiences. Adaptive learning platforms, powered by AI, can assess the strength, the weaknesses, and the style of learning of a student in real time, offering tailored resources and support. The National Education Policy-2020 (NEP-2020) emphasis on integrating technology as a way to change the educational system. The use of AI in the NEP-2020 is one of the important topics of attention. This study aims to assess the benefits and cons of implementing AI in inclusive education within the NEP-2020 framework. While there are many chances to use AI in education under the NEP-2020 framework, there are also many difficulties related to equality, data security and privacy, ethics, teacher readiness and training, and infrastructure constraints. This paper reviews some of the strengths and issues of using AI in the field of education and in inclusive education in particular, and highlights some of the recent studies in this area. The paper concludes with some of the recommendations for future studies and practice in the use of AI for personalized learning in education.
Keywords: Artificial intelligence, personalized learning, inclusive education, ethics, data privacy, equity, teacher training, infrastructure, technology integration, national education policy-2020