Shaping the future: Education and skill development for Viksit Bharat@2047
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.25Keywords:
Viksit Bharat@2047, Digital divide, Skill development, Inclusive education, Vocational training, Digital learning, Public-private partnerships.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
India’s vision for Viksit Bharat@2047 outlines an ambitious goal of becoming a fully developed nation by its centenary of independence. Central to achieving this vision is robust education and skill development sectors, which play pivotal roles in fostering economic growth, social equity, and technological advancement. This research delves into the sub-theme of Strengthening Education and Skill Development within the broader Viksit Bharat@2047 framework, highlighting the challenges in India’s education system, including outdated curricula, disparities in access, and a disconnect between industry needs and academic training.Abstract
The article examines government initiatives such as the Skill India Mission and programs while comparing India’s progress with global standards in education and skill development. It identifies key areas for reform, such as enhancing digital literacy, improving teacher quality, and fostering industry-academia linkages. Technological innovations, including artificial intelligence (AI), virtual reality (VR), and blockchain, are explored as transformative tools for modernizing education and skill development.
The paper concludes by proposing strategic policy interventions and public-private partnerships to bridge existing gaps and align India’s education system with global demands. Implementing these changes is vital for building an education system that provides importance and opportunity for all, ultimately driving greater social mobility and reducing inequalities, ensuring that India’s workforce is equipped to meet future challenges and contribute to the nation’s growth by 2047.
How to Cite
Downloads
Similar Articles
- Archana Borde, Dattatraya Pandurang Rane, Pratap Vasantrao Pawar, Role of artificial intelligence in digital marketing in enhancing customer engagement , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Raja S, Nagarajan L., Hybridization of bio-inspired algorithms with machine learning models for predicting the risk of type 2 diabetes mellitus , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Vanaja, Hari Ganesh S, Application of data mining and machine learning approaches in the prediction of heart disease – A literature survey , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Prashantha B. S., M. Dorairajan , Vijayaraj Kumar U.S., S. Srinivasaragavan, A Scientometric Study of Quality Assessment and Higher Education , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- R. Rita Jenifer, V. Sinthu Janita, Energy-aware Security Optimized Elliptic Curve Digital Signature Algorithm for Universal IoT Networks , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- A. Basheer Ahamed, M. Mohamed Surputheen, M. Rajakumar, Quantitative transfer learning- based students sports interest prediction using deep spectral multi-perceptron neural network , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- A. Sandanasamy, P. Joseph Charles, Distributed SDN control for IoT networks: A federated meta reinforcement learning solution for load balancing , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Gautam Nayak, Parthivkumar Patel, Developing speaking skills through task-based learning in English as a foreign language classroom , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Vikas Jangra, Dr. Vikas Jangra, Vandana, Comparative study of color difference on coated and uncoated paper in digital printing , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- V. Seethala Devi, N. Vanjulavalli, K. Sujith, R. Surendiran, A metaheuristic optimisation algorithm-based optimal feature subset strategy that enhances the machine learning algorithm’s classifier performance , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 5 6 7 8 9 10 11 12 13 14 > >>
You may also start an advanced similarity search for this article.

