| Issue |
SHS Web Conf.
Volume 230, 2026
SYMBICON 2026 – 5th Annual International Conference on Sustainability, Innovation, and Technology
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 5 | |
| Section | Sustainability, ESG and Corporate Responsibility | |
| DOI | https://doi.org/10.1051/shsconf/202623001002 | |
| Published online | 10 April 2026 | |
A Sustainability Perspective on AI-based Education and Digital Transformation under NEP 2020
1 Dinabandhu Andrews Institute of Technology and Management, Kolkata, India
2 Bangladesh Institute of Management, Dhaka, Bangladesh
Abstract
This study attempts to understand the impact of National Education Policy (NEP) 2020 of India on the fishing communities of coastal West Bengal. The community is a marginalized group marked by low literacy, unstable income, and poor healthcare access. The study assumes NEP 2020 as a catalyst for social, economic, and individual sustainability. This can be achieved through digital transformation and Artificial Intelligence (AI) enabled education. Primary data were collected from 150 respondents. A structured questionnaire across two coastal districts in West Bengal, India. The findings indicated statistically significant associations between NEP 2020 with the three dimensions of sustainability. These are aligned with the Sustainable Development Goals (SDGs) particularly SDG 4 and SDG 10. The SDGs advocate for access to quality education and equality. The findings also highlight that AI-based digital education can enhance equitable access for marginalized populations. In this connection, NEP 2020 can be a base to improve the conditions of marginalized communities.
Key words: NEP 2020 / Digital Transformation / AI / SDGs / Marginalized Communities / West Bengal / India
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

