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A Study on How AI Improves Learning and Time Management for Students Globally

Issue Abstract

Abstract
This study looks at how Artificial Intelligence (AI) can improve student learning and help with time management. It focuses on how AI tools can personalize learning, assist students in staying organized, and increase their overall productivity. The research involved 50 students who used AI-powered platforms like adaptive learning tools and task management apps. The results show that AI can enhance academic performance by customizing learning to fit individual needs and helping students avoid procrastination. Additionally, AI tools make it easier for students to manage their tasks and improve time management.
The study also highlights how AI can benefit students' well-being by offering stress-reducing apps and personalized support. However, it also points out some challenges, such as limited access to AI tools in developing areas and concerns about privacy. Overall, the study emphasizes how AI has the power to change the way we learn, but it's important to use it wisely and make sure every student has access to it.

Keywords: Artificial Intelligence, Student Learning, Academic Performance, Personalized Support


Author Information
Dr. N. Sabrin Assistant Professor,PG & Research Department of Commerce,M.Ayesha Farveen Post Graduate student Department of Commerce (SF- Women)Jamal Mohamed College, (Autonomous) Affiliated to Bharathidasan University Tiruchirappalli, Tamilnadu.
Issue No
2
Volume No
5
Issue Publish Date
05 Feb 2025
Issue Pages
250-259

Issue References

REFERENCES
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2. Brown, M., & Williams, T. (2020). The impact of AI-driven time management tools on student productivity. International Journal of Student Development, 38(3), 56-72.
3. Miller, R., & Davis, H. (2021). Exploring AI applications for stress management and mental well-being in students. Journal of Student Health and Technology, 50(4), 78-91.
4. Nguyen, L., & Lee, K. (2021). Challenges and opportunities in the global adoption of AI tools in education. Educational Innovation Quarterly, 12(1), 32-45.
5. Thomas, P., & Patel, R. (2022). Ethical issues in AI-driven education systems. International Review of Educational Ethics, 29(5), 101-115.