Authors :
I. Abdal Samad; A. Sunil Kumar; S. Aruna; Dr. D. P. Sivasakti Balan; R. J. Thayumanaswamy
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/2p9ryj8w
Scribd :
https://tinyurl.com/ms6mk5p8
DOI :
https://doi.org/10.38124/ijisrt/25dec317
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
With the rapid growth and accessibility of artificial intelligence (AI), high school students are increasingly using
AI-based applications for learning, creative activities, and personal academic support. This study explores the extent of AI
tool usage among high school learners and evaluates both the advantages and challenges associated with their adoption.
Using a mixed-methods research design, quantitative data were gathered through a structured survey administered to
students from various schools, while qualitative perspectives were obtained from follow-up interviews and focus-group
discussions. The investigation focuses on several key aspects, including how frequently students use AI tools, the purposes
for which they rely on them—such as homework, test preparation, project development, creative writing, and
programming—their influence on motivation and academic outcomes, and students’ awareness of responsible AI use.
Findings suggest that many students experience increased efficiency, better access to information, improved creativity, and
greater enthusiasm for independent learning. Despite these positive outcomes, concerns remain regarding shallow
understanding, dependence on AI-generated responses, and ethical issues related to originality and academic honesty. The
study concludes that AI tools offer substantial potential to enrich high school education, but their benefits are maximized
only when students receive proper guidance and maintain balanced usage. Based on the results, the study provides
recommendations for teachers, parents, and policymakers to promote ethical, informed, and critical use of AI as a supportive
tool rather than a replacement for traditional learning practices.
Students are interested in learning about various types of AI tools, including machine learning tools, robotic vision
tools, and chatbot tools, as well as their applications.
Hypothesis:
What kinds of tools are used by students, like machine learning tools, and which AI tools are popular among students,
e.g., ChatGPT?
References :
- Brynjolfsson, E., & McAfee, A. (2021). The Business of Artificial Intelligence: How AI Creates Value. Harvard Business Review.
- PwC. (2023). AI and Automation: The Future of Business Productivity. Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108–116.
- Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
- Esteva, A., et al. (2021). Deep Learning-Enabled Medical Computer Vision. Nature Medicine, 27(6), 977–984.
- WHO. (2023). Ethics and Governance of Artificial Intelligence for Health. World Health Organization.
- Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
- Luckin, R. (2022). AI for School Teachers. Routledge.
- UNESCO. (2023). Artificial Intelligence and Education: Guidance for Policy-Makers. Paris: UNESCO.
- OpenAI. (2024). ChatGPT and Generative AI in Creative Industries. Retrieved from https://openai.com/research
- McKinsey & Company. (2023). The Economic Potential of Generative AI: The Next Productivity Frontier. Retrieved from https://www.mckinsey.com
- Google DeepMind. (2024). AI and the Future of Content Creation. Retrieved from https://deepmind.google
- GitHub. (2023). The Impact of AI-Powered Coding Assistants (Copilot Report 2023). Retrieved from https://github.blog
- Sadowski, C., & Zimmermann, T. (2021). Software Engineering with Machine Learning: A Research Roadmap. IEEE Software, 38(4), 89–96.
- Microsoft Research. (2024). AI-Assisted Development and Debugging in Modern Software Engineering. Retrieved from https://www.microsoft.com/research
- Floridi, L., & Cowls, J. (2021). The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. Springer.
- IBM Security. (2023). Global Data Privacy Report: AI and Cybersecurity Challenges. Retrieved from https://www.ibm.com/security
- OECD. (2022). AI, Data Privacy, and the Future of Work. OECD Digital Economy Papers.
With the rapid growth and accessibility of artificial intelligence (AI), high school students are increasingly using
AI-based applications for learning, creative activities, and personal academic support. This study explores the extent of AI
tool usage among high school learners and evaluates both the advantages and challenges associated with their adoption.
Using a mixed-methods research design, quantitative data were gathered through a structured survey administered to
students from various schools, while qualitative perspectives were obtained from follow-up interviews and focus-group
discussions. The investigation focuses on several key aspects, including how frequently students use AI tools, the purposes
for which they rely on them—such as homework, test preparation, project development, creative writing, and
programming—their influence on motivation and academic outcomes, and students’ awareness of responsible AI use.
Findings suggest that many students experience increased efficiency, better access to information, improved creativity, and
greater enthusiasm for independent learning. Despite these positive outcomes, concerns remain regarding shallow
understanding, dependence on AI-generated responses, and ethical issues related to originality and academic honesty. The
study concludes that AI tools offer substantial potential to enrich high school education, but their benefits are maximized
only when students receive proper guidance and maintain balanced usage. Based on the results, the study provides
recommendations for teachers, parents, and policymakers to promote ethical, informed, and critical use of AI as a supportive
tool rather than a replacement for traditional learning practices.
Students are interested in learning about various types of AI tools, including machine learning tools, robotic vision
tools, and chatbot tools, as well as their applications.
Hypothesis:
What kinds of tools are used by students, like machine learning tools, and which AI tools are popular among students,
e.g., ChatGPT?