The Impact of Artificial Intelligence Tools on Learning Outcomes of Postgraduate Students: A Study in Mangalore City

Abstract: The journey of higher education, particularly at the postgraduate level, is a critical phase where students sharpen their expertise, enhance research abilities, and prepare to contribute meaningfully to their academic and professional domains. During this stage, they often grapple with multiple challenges such as rigorous coursework, research responsibilities, and institutional expectations. This study focuses on understanding the influence of AI tools on the academic performance of postgraduate students in Mangalore Taluk. Specifically, it examines the level of awareness, frequency of usage, and perceived impact of AI tools among these students. It also seeks to understand the correlation between AI tool usage and academic outcomes, as well as the effectiveness of such tools in facilitating learning and skill development.

Using a random sampling method, data were collected from 72 postgraduate students through both primary and secondary sources. The findings indicate that while AI tools may not directly boost academic grades, they do significantly enhance students’ comprehension and learning experiences, as observed by faculty members. Most students find AI tools user-friendly and supportive in building academic and professional skills. However, they emphasize that AI should complement, not replace, conventional teaching practices. Key challenges identified include technical difficulties, insufficient training, limited institutional support, and concerns regarding academic integrity and over-reliance on AI. Overall, the study highlights the growing relevance of AI in postgraduate education and underscores the need for balanced integration, ensuring that students benefit from these technologies while maintaining academic standards and ethical practices.

Artificial Intelligence Tools, Academic Performance, Technology Integration

1. Kenchakkanavar, A. Y., & Kokatanur, G. R. (2025). Exploring the role of artificial intelligence tools in enhancing academic performance of postgraduate students. Journal of Advances in Library and Information Science, 14(1), 76–83. [Google Scholar] [Crossref]

2. Oyeyemi, A. A., Okoye, A. T., Okenwa-Fadele, I., & Abiakwu, F. O. (2024). Perceived effect of artificial intelligence tools on the academic performance of students in public universities in Anambra State. International Journal of Innovative Research and Advanced Studies, 11(2). [Google Scholar] [Crossref]

3. Joseph, G. V., Athira, P., Thomas, M. A., Jose, D., Roy, T. V., & Prasad, M. (2024). Impact of digital literacy, use of AI tools and peer collaboration on AI assisted learning: Perceptions of the university students. Digital Education Review, 45, 43–49. [Google Scholar] [Crossref]

4. Murugan, T., Periasamy, K., & Abirami, A. M. (2025). Adopting artificial intelligence tools in higher education: Teaching and learning. CRC Press. [Google Scholar] [Crossref]

5. Singh, E., Vasishta, P., & Singla, A. (2025). AI-enhanced education: Exploring the impact of AI literacy on Generation Z’s academic performance in Northern India. Quality Assurance in Education, 33(2), 185–202. [Google Scholar] [Crossref]

6. Pattar, D., & Yogesh, N. (2024). Students’ perceptions of using ChatGPT for academic purposes in Davanagere District, Karnataka: A study. KIM Journal of Business Research, 31–36. [Google Scholar] [Crossref]

7. Manjunath, S. (2024). Artificial intelligence in education: Educators' perspective. VLEARNY Journal of Business, 1(2), 4–14. [Google Scholar] [Crossref]

8. Rajan, S., & Niranjan, L. R. (2025). The double-edged sword of ChatGPT: Fostering and hindering creativity in postgraduate academics in Bengaluru. International Journal of Educational Management, 39(2), 317–337. [Google Scholar] [Crossref]

9. Jaladi, S. R., Doreswamy, H., & Uttam, R. (2024). Integrating AI tools in academic curriculum: A study on the effectiveness of AI tools in higher education. In D. Hack-Polay, D. Lock, A. Caputo, M. Lokhande, & U. Salunkhe (Eds.), Global higher education practices in times of crisis: Questions for sustainability and digitalization (pp. 229–240) [Google Scholar] [Crossref]

10. Dwivedi, Y. K., Hughes, D. L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. [Google Scholar] [Crossref]

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