A Study on Reaon for Using Artificial Intelligence (Ai) Among College Students in Pollachi Taluk
Keywords:
Artificial Intelligence, uses of AI, Educational Institution, AI powered ToolsAbstract
Artificial Intelligence (AI) is revolutionizing various industries, and education is no exception. As technology continues to advance, AI is becoming an integral part of modern educational systems, transforming the way students learn and teachers instruct. AI-powered tools and applications have the potential to enhance learning experiences, improve accessibility, and streamline administrative processes, making education more efficient and personalized. By integrating AI into educational settings, institutions can offer students tailored learning experiences, provide educators with valuable insights, and optimize operational work flows. One of the most significant contributions of AI to education is personalized learning. There are two objectives of study are to examine the extent of AI usage among college students and to analyze the difficulties students face in accessing and utilizing AI tools. This study consist of both Primary and secondary data. Primary data haven collected through well structured questionnaire and secondary data collected from books, magazines etc., There are 400 students were taken for this study based on Convenient Sampling method. This study found that majority of the college students (59.30%) belong to the age group 18-21 years, majority of them (52.30 %) are Male and majority of the students (52.50%) are unmarried. It is suggested that Conduct focus group discussions to explore students' perceptions of AI and its potential applications in various fields and enquire about the AI tools students are aware of and use, including specific software, platforms, or technologies. This study concluded that assessing AI awareness among college students reveals a need for increased education and integration of AI into curricula, fostering a future workforce equipped to leverage AI responsibly and effectively, while also addressing potential ethical concerns.
Downloads
References
1. Ahmed, F., Fattani, M. T., Ali, S. R., &Enam, R. N. (2022). Strengthening the Bridge Between Academic and the Industry Through the Academia-Industry Collaboration Plan Design Model. Frontiers in Psychology, 13, 875940. https://doi.org/10.3389/fpsyg.2022.875940
2. Bates, A. W. (Tony). (2022). Teaching in a digital age—Third edition—Translators’ version. Tony Bates Associates L. https://opentextbooks.uregina.ca/teachinginadigitalagev3/Cengage Group. (2023). Cengage group 2023 graduate employability report: AI joins the workforce. https://cengage.widen.net/s/nvd6ghd8vl/final-cg-employability-survey-report-july2023
3. Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8Chen, L., Chen, X., Wu, S., Yang, Y., Chang, M., & Zhu, H. (2023). The future of ChatGPT-enabled labor market:
4. A preliminary study. https://doi.org/10.48550/ARXIV.2304.09823 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
5. Ellingrud, K., Sanghvi, S., Dandona, G. S., Madgavkar, A., Chui, M., White, O., &Hasebe, P. (2023). Generative AI and the future of work in America [McKinsey Center for Government]. https://www.mckinsey.com/mgi/our-research/generative-ai-and-the-future-of-work-in-america.
6. AbidHaleem, MohdJavaid, RajuVaishya, & Ravi Pratap Singh. (2022). Role of artificial intelligence in transforming marketing landscape.
7. Alyazidi, H., Alharby, M., & Ahmad, A. (2020). The role of AI in consumer behavior prediction.
8. Chen, Y., Zhang, Y., & Liu, M. (2021). Exploring AI adoption in digital marketing: Opportunities and challenges.
9. Eriksson, P., Kovalainen, A., &Myrden, S. (2020). Artificial Intelligence in Marketing Orientation.
10. Feng, Y., Zheng, H., & Wang, X. (2019). Applications of AI in marketing: A systematic review.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Articles published in the Academic Research Journal of Science and Technology (ARJST will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0). This allows for immediate free access to the work and permits any user to read, download, copy, distribute, print, search, or link to the full texts of articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose.
This open-access article is distributed under the terms and conditions of the Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0).