Language and Thinking: The Cognitive Wheels of Human Life.
Published In: Indian Journal of Positive Psychology, 2025, v. 16, n. 4. P. 723 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Rani, Riya; Kaur, Harprit 3 of 3
Abstract
This narrative review explores cognitive development, focusing on language and thinking. The focus is on the development of the two from prenatal stages through life. Integrating interdisciplinary theories, it examines symbolic thought, emotional intelligence, sociocultural influences, and multilingualism. It synthesizes interdisciplinary insights from psychology, philosophy, and linguistics, drawing on foundational theories from Chomsky, Wittgenstein, Heidegger, and Kahneman. It highlights the symbolic and imaginative nature of thinking. It emphasizes the role of language in structuring thought and enabling abstract representation. The review also considers sociocultural influences, bilingualism, and conceptual relativism. It shows how environmental and cultural contexts shape linguistic development. Ultimately, the paper affirms that cognition, thinking, and language are deeply interwoven and form the foundations of human intellectual and communicative capacity. This review provides a comprehensive understanding of how thinking and language co-evolve, enabling humans to navigate complex routines, express nuanced emotions, and engage meaningfully with the world around them. It affirms that thinking and language are foundational to cognition. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Indian Journal of Positive Psychology. 2025/12, Vol. 16, Issue 4, p723
- Document Type:Article
- Subject Area:Biography
- Publication Date:2025
- ISSN:2229-4937
- Accession Number:190945741
- Copyright Statement:Copyright of Indian Journal of Positive Psychology is the property of Indian Association of Health, Research & Welfare and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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