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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

AI for human learning and behavior change: A comprehensive analysis

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  • AI for human learning and behavior change: A comprehensive analysis

Ajay Timbadiya *

Northwestern Polytechnic University.

Review Article

World Journal of Advanced Research and Reviews, 2025, 25(02), 1119-1123

Article DOI: 10.30574/wjarr.2025.25.2.0306

DOI url: https://doi.org/10.30574/wjarr.2025.25.2.0306

Received on 19 December 2024; revised on 25 January 2025; accepted on 28 January 2025

People now study Artificial Intelligence's partnership with human learning because it reveals new ways to transform behavior. This article studies how AI helps people learn but also explains how it changes their actions. Technological advances including machine learning make it possible for us to tailor learning processes and extend human brain power while helping people change their behaviors. The research studies how using AI technologies to teach people poses ethical problems plus risks personal data security and calls for multiple professional viewpoints. The journal uses case examples to reveal how AI technology supports habit changes when put into practice across different fields such as education, healthcare, addiction treatment, and mental health specialist care. Digital tools currently change our behavior by providing bespoke learning tools online and through AI healthcare solutions as digital therapeutics. According to the research AI systems require teamwork from different fields and need to stay updated as AI models develop to stay relevant to their intended purposes. The final part demonstrates how combining AI systems and human-focused design will help us use technology to better teach and change behavior at scale across all groups of people

AI-powered; Behavior change; Cognitive-behavioral therapy (CBT); Data privacy; Digital therapeutics; Education; Ethical considerations; Healthcare; Learning personalization; Machine learning; Mental health; Natural language processing (NLP); Personalized feedback; Recovery; Scalability; Smart systems; Social well-being; Teacher support; Technology integration

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0306.pdf

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Ajay Timbadiya. AI for human learning and behavior change: A comprehensive analysis. World Journal of Advanced Research and Reviews, 2025, 25(2), 1119-1123. Article DOI: https://doi.org/10.30574/wjarr.2025.25.2.0306

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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