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@article{191335,
        author = {Dr. Rajneesh Bhushan Sharma},
        title = {Artificial Intelligence and Student-Centric Higher Education under Bharat’’s National Education Policy 2020: A Systematic Literature Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {1295-1303},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191335},
        abstract = {India has a vision of the National Education Policy 2020, which sees a fundamental change in the sphere of higher education to provide learner-focused, multidisciplinary, and technology-oriented education ecosystems. The introduction of Artificial Intelligence has become one of the major factors that contribute to the fulfilment of this vision, especially in improving the learning process by students, building skills, and academic participation. Although the concept of policy discourse firmly suggests the adoption of Artificial Intelligence in the course of higher education, the current academic evidence on the topic of integration, as viewed through the prism of the student, remains divided. The paper is a Systematic Literature Review, whereby the authors utilize scholarly literature to provide a synthesis of Artificial Intelligence in higher education in the context of NEP 2020 concerning student learning, future readiness, and human potential. The systematic and clear methodology of the review is based on its use of peer-reviewed journal articles, conference papers, and scholarly publications published since NEP 2020 was announced. Major academic databases were also used to identify relevant studies applying predetermined exclusion and inclusion criteria. To define the predominant trends, opportunities, and challenges in adopting Artificial Intelligence in higher education, the chosen number of literatures was analyzed on a thematic level. As the findings show, the NEP 2020 learner-centric approach is greatly supported by Artificial Intelligence through personalized learning process, adaptive assessment systems, and increased student engagement. Another issue prominently observed in the literature concerning the use of Artificial Intelligence is that it fosters multidisciplinary skills and enhances employability of students in technology enabled economy. Nonetheless, there are also issues associated with digital access, ethical AI exploitation, information privacy, and disproportionate student readiness specifically amongst learners in a rural and semi-urban setting. The review states that there are severe research gaps, such as the scarcity of the empirical studies that are informative, devoted to the experiences of the students and the outcomes that are human-centered. Having generalized previous information, the study will add academic discourse about Artificial Intelligence and NEP 2020 and offer an academic foundation to students anticipating conducting future studies that can implement holistic and inclusive higher education.},
        keywords = {Artificial Intelligence in Education; National Education Policy 2020; Higher Education in India; Student-Centred Learning; Digital Pedagogy; Ethical AI},
        month = {},
        }