Generative AI and Teacher Education: Prospects in NEP 2020
DOI:
https://doi.org/10.59436/jsiane.437.2583-2093Keywords:
Generative AI, Teacher Education, NEP 2020, Personalized Learning, Professional Development, Education PolicyAbstract
The National Education Policy NEP 2020 emphasizes transformative teacher education through competency- based training, multidisciplinary approaches, and integration of technology, concurrently, Generative Artificial Intelligence (Gen AI)-embodied by advanced language models and creative content generators- offers novel pathways to enhance teacher training programmes. This review explores the potential roles of (Gen AI)- embodied by advanced language models and creative content generators – offers novel pathway to enhance teacher training programs.This review explores the potential roles of Gen AI within the NEP 2020 framework, including its application in personalized teacher training, curriculum and content design, formative assessment, and professional development-all aligned with the policy’s vision for reflective, adaptive, and future-ready educators. By synthesizing current literature, we elucidate how Gen AI can support tailored feedback, scenario-based pedagogies, multilingual content creation, and continuous professional learning.We also examine systematic barriers such as digital inequity, ethical and bias- related concerns ,data privacy, and the need for robust regulatory framework that reflect the NEP’s stress on responsible and equitable educational innovation.Comparative analysis with global Gen AI in teacher-education literature underscores the nascent nature of empirical studies in the Indian context and highlights opportunities for localized scalable interv. The paper outlines future research directions including longitudinal impact assessment, development of AI literacy among educations, scaffolded prompt- engineering training, and co-designed Gen AI tools that preserve pedagogical integrity. By bridging NEP 2020’s policy objectives with Gen AI’s technological affordances, this review aims to chart a road- map for responsible, contextually-informed integration of Gen AI teacher education paving the way for a more dynamic inclusive and effective teacher development ecosystem.
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