The Construction of Identity in Zadie Smith’s White Teeth
Disalva, X. (2019) The Construction of Identity in Zadie Smith’s White Teeth. Zanco Journal of Humanity Sciences, 23 (5). ISSN 22180222
Full text not available from this repository.Abstract
Deeply ingrained in ancient scriptures, cultural customs, and moral behavior, swachhta has been an essential part of Indian Knowledge Systems (IKS). Indian society has always been shaped by ideas of cleanliness, communal duty, environmental harmony, and purity. However, these indigenous values frequently continue to be isolated from current learners in higher education, who are increasingly impacted by digital learning methods. In this regard, artificial intelligence (AI) shows itself to be a strong teaching tool that can connect conventional knowledge with contemporary teaching methods. The use of artificial intelligence in teaching Swachhta and Indian knowledge systems in higher education is examined in this study. It looks at how AI-powered resources including learning management systems, digital archives, intelligent tutoring programs, and interactive customized apps might improve comprehension and applicability of Swachhta-related ideas derived from Indian customs. The paper examines the educational potential of AI in valuebased education using a descriptive and analytical methodology based on secondary sources like articles and journals. The study makes the case that, when applied morally and carefully, AI broadens the scope and influence of traditional knowledge rather than replacing it. Higher education institutions can encourage sustainable living, cultural awareness, and responsible citizenship among students by fusing AI with indigenous educational ideals. The study comes to the conclusion that, in the current educational environment, AI-enabled pedagogy might be extremely significant for maintaining, promoting, and reviving Indian Knowledge Systems associated to Swachhta.
| Item Type: | Article |
|---|---|
| Domains: | English |
| Depositing User: | Mr IR Admin |
| Last Modified: | 13 May 2026 04:18 |
| URI: | https://ir.vistas.ac.in/id/eprint/19264 |
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